A key approach for agent learning: accumulating insights in a LEARNINGS.md.
- A key approach for agent learning: accumulating insights in a LEARNINGS.md.[ir]
- After it does a task, have it distill insights that it gained that would have made this run easier.
- This makes the next run faster and higher quality.
- This is where the feedback loop closes and becomes a meta, compounding loop.[is]
- That LEARNINGS.md is a file that a human can help curate and steer.
- That's what gives you compounding quality even with a fixed model.