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A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

When organizations think about web accessibility, they often frame it as a compliance issue or an ethical obligation. While both are true, there’s a compelling business case that’s often overlooked: accessibility is the foundation of effective SEO and the key to making your content discoverable by generative AI systems.

The Convergence of Accessibility, SEO, and AI

Search engines and AI systems don’t browse websites the way humans do. They can’t see your beautiful design, watch your videos without captions, or interpret images without alt text. They rely on the same structured, semantic markup that makes websites accessible to people using assistive technologies.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the practical integration of AI tools into modern development workflows. The session, “Tip-Toeing into the Deep: Seek, Prompt, Repeat,” demonstrated how developers can leverage AI assistance while maintaining code quality and deepening their expertise.

The AI Development Revolution

We’re in the midst of a fundamental shift in how developers work. Tools like GitHub Copilot, ChatGPT, Claude, and specialized coding assistants are no longer experimental novelties—they’re becoming integral parts of professional development workflows.

When organizations think about web accessibility, they often frame it as a compliance issue or an ethical obligation. While both are true, there’s a compelling business case that’s often overlooked: accessibility is the foundation of effective SEO and the key to making your content discoverable by generative AI systems.

The Convergence of Accessibility, SEO, and AI

Search engines and AI systems don’t browse websites the way humans do. They can’t see your beautiful design, watch your videos without captions, or interpret images without alt text. They rely on the same structured, semantic markup that makes websites accessible to people using assistive technologies.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

In the rapidly evolving world of technology and web development, innovation isn’t just about having the latest tools or the fastest servers—it’s about how we think, collaborate, and solve problems. At MindSing, we’ve seen firsthand that the most innovative solutions emerge when diverse perspectives converge around a shared challenge.

The Innovation Imperative

Innovation in our industry requires more than technical expertise. It demands:

• Fresh perspectives on old problems
• Creative approaches to new challenges
• Empathy for diverse user needs
• Critical questioning of assumptions
• Bold experimentation with unconventional solutions

None of these happen in a vacuum—or in a homogeneous environment.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the practical integration of AI tools into modern development workflows. The session, “Tip-Toeing into the Deep: Seek, Prompt, Repeat,” demonstrated how developers can leverage AI assistance while maintaining code quality and deepening their expertise.

The AI Development Revolution

We’re in the midst of a fundamental shift in how developers work. Tools like GitHub Copilot, ChatGPT, Claude, and specialized coding assistants are no longer experimental novelties—they’re becoming integral parts of professional development workflows.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the practical integration of AI tools into modern development workflows. The session, “Tip-Toeing into the Deep: Seek, Prompt, Repeat,” demonstrated how developers can leverage AI assistance while maintaining code quality and deepening their expertise.

The AI Development Revolution

We’re in the midst of a fundamental shift in how developers work. Tools like GitHub Copilot, ChatGPT, Claude, and specialized coding assistants are no longer experimental novelties—they’re becoming integral parts of professional development workflows.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

When organizations think about web accessibility, they often frame it as a compliance issue or an ethical obligation. While both are true, there’s a compelling business case that’s often overlooked: accessibility is the foundation of effective SEO and the key to making your content discoverable by generative AI systems.

The Convergence of Accessibility, SEO, and AI

Search engines and AI systems don’t browse websites the way humans do. They can’t see your beautiful design, watch your videos without captions, or interpret images without alt text. They rely on the same structured, semantic markup that makes websites accessible to people using assistive technologies.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

At DrupalCon Atlanta 2025, I had the privilege of presenting “Tag! You’re It. Digital ‘freeze’ tag with GTM” - a session exploring how to master Google Tag Manager while balancing the competing demands of privacy compliance and website performance.

The Modern Tag Management Challenge

For marketers and developers alike, Google Tag Manager (GTM) has become an indispensable tool. It simplifies the deployment and management of various tags across your website - analytics tags, marketing pixels, tracking scripts, and more - all without requiring coding skills for each change.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the critical relationship between Core Web Vitals, Google Tag Manager, and site performance. The session, “Speedy Delivery, Win the GTM, SERP, and CWV Game with Layout Builder and Tailwind,” demonstrated how to maintain perfect performance scores while meeting the demands of modern marketing teams.

The Performance Paradox

You’ve optimized your Drupal site. Your code is clean, your images are compressed, your CSS is minimal. You run a Lighthouse audit and… 85. Not bad, but not the perfect 100 you were aiming for. What’s holding you back? Often, it’s not your code—it’s Google Tag Manager.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the practical integration of AI tools into modern development workflows. The session, “Tip-Toeing into the Deep: Seek, Prompt, Repeat,” demonstrated how developers can leverage AI assistance while maintaining code quality and deepening their expertise.

The AI Development Revolution

We’re in the midst of a fundamental shift in how developers work. Tools like GitHub Copilot, ChatGPT, Claude, and specialized coding assistants are no longer experimental novelties—they’re becoming integral parts of professional development workflows.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

In the rapidly evolving world of technology and web development, innovation isn’t just about having the latest tools or the fastest servers—it’s about how we think, collaborate, and solve problems. At MindSing, we’ve seen firsthand that the most innovative solutions emerge when diverse perspectives converge around a shared challenge.

The Innovation Imperative

Innovation in our industry requires more than technical expertise. It demands:

• Fresh perspectives on old problems
• Creative approaches to new challenges
• Empathy for diverse user needs
• Critical questioning of assumptions
• Bold experimentation with unconventional solutions

None of these happen in a vacuum—or in a homogeneous environment.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

In the rapidly evolving landscape of web development, choosing the right foundation for your digital infrastructure is more critical than ever. At MindSing, we’re passionate advocates for open source technologies—particularly Drupal—and here’s why.

The Power of Open Source

Open source software represents more than just freely available code. It embodies a collaborative philosophy that drives innovation, ensures transparency, and provides long-term sustainability for your digital investments.

Transparency and Security

When you build on open source platforms, you’re not locked into a proprietary black box. Every line of code is inspectable, auditable, and verifiable. This transparency is crucial for enterprise organizations and higher education institutions that must maintain strict security and compliance standards.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the critical relationship between Core Web Vitals, Google Tag Manager, and site performance. The session, “Speedy Delivery, Win the GTM, SERP, and CWV Game with Layout Builder and Tailwind,” demonstrated how to maintain perfect performance scores while meeting the demands of modern marketing teams.

The Performance Paradox

You’ve optimized your Drupal site. Your code is clean, your images are compressed, your CSS is minimal. You run a Lighthouse audit and… 85. Not bad, but not the perfect 100 you were aiming for. What’s holding you back? Often, it’s not your code—it’s Google Tag Manager.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

At DrupalCon Atlanta 2025, I had the privilege of presenting “Tag! You’re It. Digital ‘freeze’ tag with GTM” - a session exploring how to master Google Tag Manager while balancing the competing demands of privacy compliance and website performance.

The Modern Tag Management Challenge

For marketers and developers alike, Google Tag Manager (GTM) has become an indispensable tool. It simplifies the deployment and management of various tags across your website - analytics tags, marketing pixels, tracking scripts, and more - all without requiring coding skills for each change.

In the rapidly evolving landscape of web development, choosing the right foundation for your digital infrastructure is more critical than ever. At MindSing, we’re passionate advocates for open source technologies—particularly Drupal—and here’s why.

The Power of Open Source

Open source software represents more than just freely available code. It embodies a collaborative philosophy that drives innovation, ensures transparency, and provides long-term sustainability for your digital investments.

Transparency and Security

When you build on open source platforms, you’re not locked into a proprietary black box. Every line of code is inspectable, auditable, and verifiable. This transparency is crucial for enterprise organizations and higher education institutions that must maintain strict security and compliance standards.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the practical integration of AI tools into modern development workflows. The session, “Tip-Toeing into the Deep: Seek, Prompt, Repeat,” demonstrated how developers can leverage AI assistance while maintaining code quality and deepening their expertise.

The AI Development Revolution

We’re in the midst of a fundamental shift in how developers work. Tools like GitHub Copilot, ChatGPT, Claude, and specialized coding assistants are no longer experimental novelties—they’re becoming integral parts of professional development workflows.

At DrupalCon Atlanta 2025, I had the privilege of presenting “Tag! You’re It. Digital ‘freeze’ tag with GTM” - a session exploring how to master Google Tag Manager while balancing the competing demands of privacy compliance and website performance.

The Modern Tag Management Challenge

For marketers and developers alike, Google Tag Manager (GTM) has become an indispensable tool. It simplifies the deployment and management of various tags across your website - analytics tags, marketing pixels, tracking scripts, and more - all without requiring coding skills for each change.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the critical relationship between Core Web Vitals, Google Tag Manager, and site performance. The session, “Speedy Delivery, Win the GTM, SERP, and CWV Game with Layout Builder and Tailwind,” demonstrated how to maintain perfect performance scores while meeting the demands of modern marketing teams.

The Performance Paradox

You’ve optimized your Drupal site. Your code is clean, your images are compressed, your CSS is minimal. You run a Lighthouse audit and… 85. Not bad, but not the perfect 100 you were aiming for. What’s holding you back? Often, it’s not your code—it’s Google Tag Manager.

In the rapidly evolving world of technology and web development, innovation isn’t just about having the latest tools or the fastest servers—it’s about how we think, collaborate, and solve problems. At MindSing, we’ve seen firsthand that the most innovative solutions emerge when diverse perspectives converge around a shared challenge.

The Innovation Imperative

Innovation in our industry requires more than technical expertise. It demands:

• Fresh perspectives on old problems
• Creative approaches to new challenges
• Empathy for diverse user needs
• Critical questioning of assumptions
• Bold experimentation with unconventional solutions

None of these happen in a vacuum—or in a homogeneous environment.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

In the rapidly evolving world of technology and web development, innovation isn’t just about having the latest tools or the fastest servers—it’s about how we think, collaborate, and solve problems. At MindSing, we’ve seen firsthand that the most innovative solutions emerge when diverse perspectives converge around a shared challenge.

The Innovation Imperative

Innovation in our industry requires more than technical expertise. It demands:

• Fresh perspectives on old problems
• Creative approaches to new challenges
• Empathy for diverse user needs
• Critical questioning of assumptions
• Bold experimentation with unconventional solutions

None of these happen in a vacuum—or in a homogeneous environment.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

Your website looks great. It tells your story, showcases your work, and presents your services beautifully. There’s just one problem: it’s not generating leads at the rate your business needs to grow.

Many businesses treat their website as a digital brochure—a place to park information that might be helpful if someone already knows about you. But in reality, your website should be your hardest-working salesperson: qualifying leads 24/7, nurturing prospects automatically, and feeding your sales team a steady stream of qualified opportunities.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

A/B testing traditionally requires expensive third-party platforms, complex JavaScript integrations, or extensive custom development. But what if you could build a native, context-aware A/B testing system directly in Drupal—one that leverages your existing design system, automates variant creation, and uses AI to intelligently manage experiments?

By combining Figma’s design variants, Make’s automation capabilities, and Model Context Protocol (MCP) for intelligent orchestration, we can create a powerful A/B testing workflow that feels native to Drupal while remaining accessible to designers and marketers.

As AI tools become increasingly integrated into development workflows, a fundamental challenge has emerged: how do AI assistants effectively interact with complex, domain-specific systems like content management platforms? Model Context Protocol (MCP) offers an elegant solution that’s particularly relevant for Drupal developers.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol developed by Anthropic that standardizes how AI assistants connect to external data sources and tools. Think of it as a universal adapter that allows AI models to interact with your systems in a structured, secure, and contextually aware manner.

In the rapidly evolving landscape of web development, choosing the right foundation for your digital infrastructure is more critical than ever. At MindSing, we’re passionate advocates for open source technologies—particularly Drupal—and here’s why.

The Power of Open Source

Open source software represents more than just freely available code. It embodies a collaborative philosophy that drives innovation, ensures transparency, and provides long-term sustainability for your digital investments.

Transparency and Security

When you build on open source platforms, you’re not locked into a proprietary black box. Every line of code is inspectable, auditable, and verifiable. This transparency is crucial for enterprise organizations and higher education institutions that must maintain strict security and compliance standards.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

At DrupalCon Atlanta 2025, I had the privilege of presenting “Tag! You’re It. Digital ‘freeze’ tag with GTM” - a session exploring how to master Google Tag Manager while balancing the competing demands of privacy compliance and website performance.

The Modern Tag Management Challenge

For marketers and developers alike, Google Tag Manager (GTM) has become an indispensable tool. It simplifies the deployment and management of various tags across your website - analytics tags, marketing pixels, tracking scripts, and more - all without requiring coding skills for each change.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

At DrupalCon Atlanta 2025, I had the privilege of presenting “Tag! You’re It. Digital ‘freeze’ tag with GTM” - a session exploring how to master Google Tag Manager while balancing the competing demands of privacy compliance and website performance.

The Modern Tag Management Challenge

For marketers and developers alike, Google Tag Manager (GTM) has become an indispensable tool. It simplifies the deployment and management of various tags across your website - analytics tags, marketing pixels, tracking scripts, and more - all without requiring coding skills for each change.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

When organizations think about web accessibility, they often frame it as a compliance issue or an ethical obligation. While both are true, there’s a compelling business case that’s often overlooked: accessibility is the foundation of effective SEO and the key to making your content discoverable by generative AI systems.

The Convergence of Accessibility, SEO, and AI

Search engines and AI systems don’t browse websites the way humans do. They can’t see your beautiful design, watch your videos without captions, or interpret images without alt text. They rely on the same structured, semantic markup that makes websites accessible to people using assistive technologies.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the critical relationship between Core Web Vitals, Google Tag Manager, and site performance. The session, “Speedy Delivery, Win the GTM, SERP, and CWV Game with Layout Builder and Tailwind,” demonstrated how to maintain perfect performance scores while meeting the demands of modern marketing teams.

The Performance Paradox

You’ve optimized your Drupal site. Your code is clean, your images are compressed, your CSS is minimal. You run a Lighthouse audit and… 85. Not bad, but not the perfect 100 you were aiming for. What’s holding you back? Often, it’s not your code—it’s Google Tag Manager.

At the 2024 Pacific Northwest Drupal Summit, MindSing sponsored a session exploring the critical relationship between Core Web Vitals, Google Tag Manager, and site performance. The session, “Speedy Delivery, Win the GTM, SERP, and CWV Game with Layout Builder and Tailwind,” demonstrated how to maintain perfect performance scores while meeting the demands of modern marketing teams.

The Performance Paradox

You’ve optimized your Drupal site. Your code is clean, your images are compressed, your CSS is minimal. You run a Lighthouse audit and… 85. Not bad, but not the perfect 100 you were aiming for. What’s holding you back? Often, it’s not your code—it’s Google Tag Manager.

In the rapidly evolving world of technology and web development, innovation isn’t just about having the latest tools or the fastest servers—it’s about how we think, collaborate, and solve problems. At MindSing, we’ve seen firsthand that the most innovative solutions emerge when diverse perspectives converge around a shared challenge.

The Innovation Imperative

Innovation in our industry requires more than technical expertise. It demands:

• Fresh perspectives on old problems
• Creative approaches to new challenges
• Empathy for diverse user needs
• Critical questioning of assumptions
• Bold experimentation with unconventional solutions

None of these happen in a vacuum—or in a homogeneous environment.

End-to-end testing has a reputation problem. Tests are flaky, slow, and expensive to maintain. Teams start with enthusiasm, writing comprehensive test suites—only to watch them become brittle, unreliable, and eventually ignored.

Playwright changes this equation. Microsoft’s modern testing framework addresses the core pain points that plagued previous generations of browser automation tools. With its architectural improvements, developer-friendly API, and built-in best practices, Playwright makes it possible to build automated test suites that are fast, reliable, and actually maintainable.

Automated testing is often viewed as a “nice to have” in Drupal development—something teams plan to implement “when there’s time.” But treating testing as optional is a costly mistake. The reality is that automated testing is fundamental to building maintainable Drupal applications, reducing bugs, and enabling teams to refactor and upgrade with confidence.

This guide will walk you through the essentials of automated testing in Drupal, from basic concepts to practical implementation, helping you build a testing practice that actually fits into your development workflow.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

The handoff between design and development is where beautiful visions go to die. Designers create pixel-perfect interfaces in Figma. Developers build functional components in Drupal. And somewhere in between, consistency evaporates like morning dew.

The problem isn’t lack of talent—it’s lack of system.

A design system is the bridge between Figma and your CMS, ensuring that what designers envision is what developers build, and what gets deployed stays consistent as your site grows. But most organizations approach design systems backwards: they try to document what exists rather than establishing a shared language from the start.

When someone visits an e-commerce site and doesn’t trust it, they simply don’t buy the shoes. Annoying for the retailer, but low stakes for the visitor.

When someone visits a financial services or insurance website and doesn’t trust it, they’re making a decision that could impact their family’s financial future, their retirement, or their ability to recover from a disaster. The stakes are fundamentally different, and your UI must reflect that.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

When organizations think about web accessibility, they often frame it as a compliance issue or an ethical obligation. While both are true, there’s a compelling business case that’s often overlooked: accessibility is the foundation of effective SEO and the key to making your content discoverable by generative AI systems.

The Convergence of Accessibility, SEO, and AI

Search engines and AI systems don’t browse websites the way humans do. They can’t see your beautiful design, watch your videos without captions, or interpret images without alt text. They rely on the same structured, semantic markup that makes websites accessible to people using assistive technologies.

In the rapidly evolving landscape of web development, choosing the right foundation for your digital infrastructure is more critical than ever. At MindSing, we’re passionate advocates for open source technologies—particularly Drupal—and here’s why.

The Power of Open Source

Open source software represents more than just freely available code. It embodies a collaborative philosophy that drives innovation, ensures transparency, and provides long-term sustainability for your digital investments.

Transparency and Security

When you build on open source platforms, you’re not locked into a proprietary black box. Every line of code is inspectable, auditable, and verifiable. This transparency is crucial for enterprise organizations and higher education institutions that must maintain strict security and compliance standards.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

If you’ve been building front-end applications for the past decade, Webpack has probably been a constant companion—sometimes helpful, often frustrating, occasionally infuriating. Those 30-second (or 3-minute) build times. That sprawling configuration file that no one fully understands. The mysterious “Module not found” errors that appear only in production.

Then you hear about Vite. Cold server starts in milliseconds. Hot module replacement that actually feels instant. Configuration so simple you wonder if you’re missing something.

You’ve probably heard developers talk about “CI/CD pipelines” or “automated deployments” and wondered what that actually means for your website. Maybe you’ve been in meetings where technical terms get thrown around, and you nod along but aren’t quite sure how it all connects to what you care about: getting content live quickly, keeping the site fast, and avoiding broken pages.

Here’s the truth: CI/CD isn’t just developer jargon—it’s the automation system that makes your website faster, more reliable, and safer to update. And understanding the basics can help you make better decisions about your digital infrastructure.

When your business is growing and your website is struggling to keep up, you face a critical decision: redesign what you have or rebuild from the ground up? This choice can mean the difference between a smart investment that accelerates growth and an expensive mistake that holds you back.

For growth-stage businesses, this decision becomes even more crucial. You need a platform that can scale with your ambitions, support evolving marketing strategies, and integrate with your expanding tech stack—all without draining resources or disrupting operations.

When evaluating a content management system, the initial license fee is just the beginning of the story. The real question decision-makers should ask isn’t “What does it cost to buy?” but rather “What will it cost us to own, operate, and scale this platform over five years?”

The answer might surprise you. Despite aggressive marketing from proprietary vendors positioning themselves as “enterprise-ready” or “all-in-one solutions,” the total cost of ownership (TCO) and long-term return on investment (ROI) consistently favor open source platforms—particularly Drupal and WordPress.