🚀 Back To The Future: Why AI Is Making Web Frameworks Obsolete

Last week, I built an entire SaaS application in just one hour.

The kicker? I coded it in a programming language I barely knew, using nothing but pure HTML, JavaScript, CSS, and some simple backend logic.

No React. No Vue. No Angular. No Next.js.

And the result wasn’t just functional—it was better than what I’d have built using modern frameworks.

The Framework Treadmill We’ve All Been Running On

For years, we’ve been told that keeping up with the latest web frameworks is essential to staying competitive as developers. Each new framework promises to solve all the problems of the previous generation while making development faster, easier, and more scalable.

Sound familiar?

If you’re like most developers, your journey probably looks something like this:

1. Learn vanilla JavaScript, HTML, and CSS
2. Feel overwhelmed by the complexity of managing large applications
3. Adopt Framework A (because everyone says it’s the future)
4. Spend months mastering Framework A
5. Start hearing that Framework B is the new hotness
6. Feel anxiety about falling behind
7. Reluctantly start learning Framework B
8. Repeat steps 4-7 indefinitely

The result? Constant learning fatigue and codebases that become legacy tech within 2-3 years.

As someone who’s built and scaled multiple tech companies (SeedProd, RafflePress, OnePageGA, and Duplicator), I’ve experienced this treadmill firsthand. The technical debt accumulates not just from the code itself, but from the frameworks that eventually become obsolete.

The AI-Powered Return to Web Standards

Here’s what changed everything for me: AI has become sophisticated enough to handle the complexity that frameworks were designed to manage.

When I sat down to build my recent project, instead of reaching for React or Next.js, I opened my AI assistant and explained what I wanted to build. Then I asked it to:

1. Generate the core HTML structure
2. Write vanilla JavaScript for the interactive elements
3. Create clean, responsive CSS
4. Develop simple backend logic for data processing

The entire workflow felt like pair programming with a senior developer who had encyclopedic knowledge of web standards.

The result was lean, framework-free code that:

• Loads lightning-fast (no bulky framework overhead)
• Has zero dependencies to maintain
• Will still function perfectly 10 years from now
• Can be easily understood by any web developer
• Doesn’t lock me into any ecosystem

The Space Jam Test: Will Your App Still Work in 2040?

Remember the original Space Jam website from 1996? Nearly 30 years later, it still works perfectly in modern browsers. Why? Because it was built on fundamental web standards rather than temporary abstractions.

This got me thinking about what I call “The Space Jam Test”: Will the applications we build today still function in 2040?

For most framework-dependent projects, the answer is likely no. They’ll require significant rewrites as frameworks evolve or become abandoned.

But pure HTML, CSS, and JavaScript implementations? They’ll continue working as long as browsers support these foundational technologies.

How AI Bridges the Complexity Gap

The primary value proposition of frameworks has always been abstracting away complexity. They handle the tedious parts of development so we can focus on business logic and user experience.

AI now fills this role more effectively by:

• Generating boilerplate code instantly
• Managing DOM manipulations without framework-specific syntax
• Creating responsive layouts without component libraries
• Handling state management with vanilla JS patterns
• Implementing routing without heavy client-side libraries

Instead of learning framework-specific approaches that change every few years, we can focus on understanding timeless web fundamentals and let AI handle the implementation details.

Zero Technical Debt Development

Perhaps the most profound benefit of this approach is the elimination of framework-based technical debt.

Every time you choose a framework, you’re essentially placing a bet on its longevity and community support. When frameworks fade (as they inevitably do), codebases become increasingly expensive to maintain.

By returning to web standards with AI assistance, you’re building on the most stable foundation possible. Your only dependencies are the web standards themselves—the most widely supported, thoroughly tested, and backward-compatible technologies in existence.

Is This Approach Right for Every Project?

Of course not. Large-scale applications with multiple developers still benefit from the structure and conventions that frameworks provide. If you have a team of 20 React developers, switching to vanilla JS might create more problems than it solves.

But for:

• Startups building MVPs
• Solo developers launching side projects
• Small teams creating customer-facing tools
• Businesses concerned about long-term maintenance

This approach offers a compelling alternative to the framework treadmill.

Getting Started With AI-Assisted Web Standards Development

If you’re intrigued by this approach, here’s how to start experimenting:

1. Focus on strengthening your fundamentals. Deep knowledge of HTML, CSS, and vanilla JS will serve you better in an AI-assisted world than framework-specific expertise.

2. Build a small project without frameworks. Challenge yourself to create something simple using only web standards and AI assistance.

3. Learn to communicate effectively with AI. The key skill isn’t writing code—it’s explaining what you want to build in clear, specific terms.

4. Start with common UI patterns. Ask AI to implement navigation menus, modals, tabs, and other UI elements without framework dependencies.

5. Gradually tackle more complex features. As you gain confidence, experiment with state management, routing, and data fetching patterns.

The developers who thrive in the next decade won’t be those who master every framework. They’ll be those who understand core web technologies and can effectively collaborate with AI to implement solutions directly in web standards.

And the applications they build? They’ll still be running smoothly in 2040, just like that Space Jam website from ‘96.

The Real Game-Changer: How You Communicate With AI

The success of this approach ultimately depends on one critical skill: your ability to communicate effectively with AI tools.

When I first tried to build with AI assistance, my results were mixed at best. The code was sometimes convoluted, occasionally buggy, and often implemented in ways I wouldn’t have chosen myself.

The turning point came when I applied the same structured communication framework I use for all my AI interactions—the same system I’ve refined across multiple companies and countless projects.

Instead of vague requests like “write me the JavaScript for a modal,” I began providing specific context, clear requirements, and precise guidelines for implementation. The difference was night and day.

This is exactly why I created The Perfect Prompt Formula—to help you bypass months of frustrating trial and error. Whether you’re building framework-free applications like I’ve described here or using AI for any other professional task, the ability to get exactly what you need from AI tools is the ultimate competitive advantage in today’s landscape.

If you’re ready to experience the same transformation in your AI results, I’ve made my entire system available so you can implement it immediately, regardless of your technical background.