AI Agent Retries: Prevent Duplicate Actions
Make AI agent retries safe with receiver-enforced idempotency. Run a Python crash lab, reproduce duplicate comments, and test recovery after an external write.

Experiments, guides, and reusable tools for reviewing agent work, recovering interrupted tasks, and building automation you can inspect.
Make AI agent retries safe with receiver-enforced idempotency. Run a Python crash lab, reproduce duplicate comments, and test recovery after an external write.


Decide which part of your agent architecture needs to change. Work through approval, retries, and duplicate delivery with a failure drill and decision worksheet.

Write a coding agent task brief with concrete acceptance criteria, staged permissions, and a review record. Work through a pagination bug from prompt to proof.

Compare Cursor, Claude Code, or other coding agents on your repository with a shared baseline, reusable task brief, and scorecard for correctness and review time.

Recover an interrupted AI agent session in CompozyOS. Inspect process state, preserve edits, and choose a continuation path with a diagnosis tree and handoff.

Build a useful Git repository briefing with a read-only Python collector, explicit commit boundaries, and a sourced review queue. Includes a runnable script.

CompozyOS's graph editor shares a single canonical definition with the file-based path, and its local gateway lets signed webhooks trigger agent work on your machine — with explicit, granular exposure controls.

CompozyOS v0.3 brings sessions, work, memory, permissions, automation, coordination, and an OS shell into one extensible local-first runtime.