ai-coding-agents-release-distribution

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Designs release and distribution systems for coding-agent CLIs. Use when modeling packaging, auto-update channels, plugin compatibility, cache migrations, or install footprints.

AI & Automation 80 stars 17 forks Updated 1 weeks ago MIT

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Quality Score: 89/100

Stars 20%
64
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# AI Coding Agents Release And Distribution Use this skill to design or review how a coding-agent CLI ships and evolves: packaging, install channels, auto-update policy, plugin compatibility, cache versioning, migration strategy, and local footprint management. This skill covers the productization layer that matters once the runtime itself already exists. ## ASCII Flow ```text runtime build | v package artifact binary/app bundle/npm/pip/homebrew + bundled assets + plugin ABI | v release channel dev | canary | stable | enterprise-managed | v install or update compatibility checks + cache migrations + rollback hooks | v post-update verification version, plugin compatibility, migrated state, telemetry, rollback signal ``` ## Quick Reference | Question | Read | Outcome | |----------|------|---------| | How should packaging, updates, and compatibility work? | [`references/packaging-updates-and-compatible-plugins.md`](references/packaging-updates-and-compatible-plugins.md) | Install channels, version policy, plugin compatibility, and release discipline | | How should caches, migrations, and local state evolve safely? | [`references/cache-migrations-and-install-channels.md`](references/cache-migrations-and-install-channels.md) | Cache keys, migration boundaries, rollback posture, and footprint control | | How does OpenAI Codex handle install channels, update targets, app-server packages, and doctor? | [`references/openai-codex-install-update-and-doctor....

Details

Author
vasilyu1983
Repository
vasilyu1983/AI-Agents-public
Created
9 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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