Durable Context Maintenance

Durable context should evolve with the repo. Otherwise every session pays for stale or missing knowledge.

Goal

Keep repo-local context accurate, compact, and routable after the codebase changes.

What Counts As Durable Context

• repo architecture summaries;
• test and verification docs;
• deployment or infrastructure flow notes;
• context entrypoints under docs/ai/, process/context/, or equivalent;
• startup guidance in AGENTS.md when it describes stable repo behavior.

If a lesson may belong in memory, a checklist, SKILL.md, a script, or an eval instead of repo docs, run agent-learning-layer-triage first and update durable context only when the chosen layer is repo-local documentation.

If durable context is becoming too expensive to resend but still needs repeated factual recall, use doc-to-lora-evaluator to decide whether parametric document memory is worth testing instead of simply adding more startup prose.