The Framework Wars End Here

No more debates about React vs Vue vs Angular. No arguments about Redux vs Zustand vs Context API. No philosophical discussions about clean architecture versus pragmatic solutions.

LLMs just ship features that work.

This week, building my MVP, I've made technical decisions based purely on business requirements rather than developer preferences. It's refreshing in a way I didn't expect.

The Ego-Free Zone

Human developers (myself included) get emotionally invested in technical choices. We defend our preferred frameworks, argue for our favorite patterns, and sometimes optimize for our own learning rather than product success.

"Let's try the new shiny framework" often translates to "I want to put this on my resume" or "I'm bored with our current stack." And, yes, we've always tought developers to make business cases for tech stack transitions, but the time wasted on finding those business cases could also have been invested in feature development.

LLMs don't have egos. They don't care about resume building or intellectual stimulation. They'll use whatever technology solves the problem most directly.

Business Value Over Technical Purity

Working with LLMs forces you to articulate requirements in terms of user value rather than technical implementation. Instead of saying "build this using a microservices architecture," you explain what the system needs to accomplish.

The result is more pragmatic technical decisions aligned with actual product needs, IF you strictly guide the LLM this way. Otherwise you still might end up with an architecture the LLM has read most often about (Cloud Native stacks don't make sense if you won't see highly dynamic peak scaling and want to focus on cost efficiency).

During my time scaling teams at Frontastic/commercetools, some of our best architectural decisions came from focusing on business outcomes rather than technical elegance. LLMs naturally push you in this direction.

The Pattern Follows Function Principle

Without developer opinions influencing choices, technical patterns emerge purely from functional requirements:

• High-traffic features naturally get optimized implementations

• Simple workflows get simple, direct code

• Complex business logic gets appropriately structured solutions

• Prototype features get MVP-quality code that can evolve

No over-engineering because someone read a blog post about hexagonal architecture. No under-engineering because someone prefers "simple" solutions to complex problems.

Faster Decision Making

Team discussions about technical approaches can consume days or weeks. Everyone has opinions. Everyone can cite blog posts supporting their position. Everyone wants their voice heard.

LLMs eliminate this entirely. Specify your requirements clearly, and get a working implementation immediately. If it doesn't meet your needs, iterate quickly rather than debating theoretical trade-offs.

The time saved on technical arguments can be invested in user research, market validation, and actual product development.

Focus on What Actually Matters

Most technical decisions don't significantly impact user value or business outcomes. Whether you use TypeScript interfaces or types, whether your state management is Redux or Zustand, whether your components are classes or functions – users don't care.

LLMs help you research and reflect which technical choices actually matter (performance, reliability, maintainability) versus which choices are primarily developer preference.

When Opinions Actually Matter

LLMs aren't completely opinion-free – they reflect the opinions embedded in their training data. But these tend to be consensus opinions from the broader developer community rather than individual preferences.

For decisions that genuinely impact product success – scalability choices, security implementations, user experience trade-offs – human judgment remains essential.

The key is distinguishing between technical opinions that matter for business outcomes versus technical opinions that exist for their own sake.

The Liberation

After decades of managing developer preferences, technical debates, and ego-driven architecture decisions, working with opinion-free LLMs feels remarkably freeing.

No more justifying pragmatic choices to developers who prefer hype-driven solutions. No more managing team dynamics around technical disagreements. No more balancing individual learning goals with project timelines.

Just focus on building something users want, using whatever technical approach gets you there fastest and most reliably. The technology stack should serve the product, not the other way around. LLMs naturally enforce this priority by removing human ego from technical decision-making.

Sometimes the best technical opinion is no opinion at all.