Moonshot Notes

Moonshot Notes publishes practical essays, implementation notes, and operating guides for AI-assisted software work. The archive focuses on workflow design, agent runtimes, evaluation loops, production backend patterns, and the engineering decisions behind reusable automation.

Every public article is expected to have a clear reader purpose, concrete examples, and enough source context to separate observed behavior from opinion. Editorial standards favor reproducible commands, explicit assumptions, dated references when facts can change, and corrections when a note becomes stale or inaccurate.

AI tools may assist with outlines, drafts, code examples, translation, search, or review passes. AI-assisted material is still reviewed by a human editor before publication for accuracy, relevance, attribution, readability, and safety. The site does not intentionally publish raw model output as final editorial copy.

If you find an error, outdated claim, missing attribution, broken link, privacy concern, or policy question, use the contact page. Correction requests should include the page URL, the specific passage or behavior, and enough context to verify the issue.