Chapter 15: The No-Weights Complement
Reflexion-style notes and skill accretion — learning mechanisms that run in parallel with training and cost zero GPU.
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Chapter 15: The No-Weights Complement
This runs in parallel with everything else in Part 5 and costs zero GPU.
Reflexion-Style Notes
After each run the agent writes a lesson to a persistent file, and reads that file at the start of the next run. Instant learning, no training.
Skill Accretion
When the agent solves something reusable, it writes a script or a SKILL.md and keeps it. The library grows. Experience becomes tooling.
Why This Belongs in a Fine-Tuning Course
These stack on top of the tuned model. The fine-tune makes the agent competent at the loop; the notes make it competent at your repo, this week. Different timescales, different mechanisms, no conflict.
This is also the resolution of the course’s third breaking-point warning: codebase facts belong in context, behavior belongs in weights. Notes and skills are the context side of that split, done deliberately instead of accidentally.