Raw LLM Responses

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In my experience it is smart at the start while the context is empty. And it can get hopelessly stupid as the context fills up. I have had projects become so broken by bad context that they start deleting code when explicitly told not to. But you can avoid getting to that point. You have to specify shape the project to keep files and systems small at any one time. Keeping files atomic, and handlers, hooks, and utilities. Splitting things up more than a human normally would. I'd prefer one file for the gutter, header, footer, the body, and the ligic of a node, but llm needs as many separate files as possible so it can keep context small. The instant you see it do anything dumb and not what you asked for you have to ask it to do an audit and refactor. This probably varies by the llm but i keep all files under 200 lines. And aim for 80 lines. Google gemini flash builder would probably do good at making this project. Free to use currently on google ai studio. Just have to ask it to "report and stop" if you don't want it immediately coding every time you ask a question.
youtube AI Jobs 2026-02-28T05:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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