I have the most success with incremental changes where the agent has to do one task at a time
devjab on Hacker News
In the thread “LLM code generation may lead to an erosion of trust”, replying to this comment
Helped: Specific VIBE.md files, incremental tasks, and limiting context to relevant lines.
Got in the way: Prediction engine fails to distinguish relevant from irrelevant context in big files.
… With big files it gets trickier because the prediction engine fails to distinguish between relevant and irrelevant context. I have the most success with incremental changes where the agent has to do one task at a time, and you can outline that in the VIBE.md + the comments where you add "COPILOT: This is step X...". In my coordinate example it actually had to change quite a lot of things, but that is still what I consider one task. …