AI Can Write the Code. You Still Have to Design the System.

The foundation of your application is everything, especially when you use agents to write your code.

Everyone talks about garbage in/garbage out with AI and machine learning, but no one really talks about what that means when you hand an LLM an entire codebase and tell it to start building. LLMs are basically just billion dollar pattern matching black boxes. If you give them a well-understood stack with established patterns, lots of documentation, tons of examples, and clear architectural boundaries, they can produce some genuinely amazing results.

If you start with nothing, or worse, start with garbage, they tend to produce garbage.

Yes, Opus 5 and GPT 5.6 Sol produce amazing output. Just take a look at X as a tech enthusiast for any amount of time.

But I don't really want my entire development process to depend on the assumption that I can throw infinite tokens at every problem forever.