OSS Tanbou
View on GitHub

AI Dev OS — structuring AI coding rules for reuse across tools

OSS scale score 22.4OSS health 77Update pace 0 commits/30d
About these scores

OSS scale score is an unbounded metric that log-compresses and weights Stars, Watchers, Forks, and Contributors. Discovery score is the current OSS scale score minus the score at discovery. Update pace is commits in the last 30 days, growth momentum is the OSS scale score difference within the recent observation window, and OSS health is a 0–100 rating based on available recency, Community Health, and release data.

Stars
5
License
MIT
Repository last updated
Jul 18, 2026

Overview

AI Dev OS turns tacit engineering knowledge into explicit rules that can be reused across Claude Code, Cursor, Kiro, and similar AI coding tools.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Separate rules into four lifespan layers

Philosophy, decision criteria, concrete guidelines, and tool-specific AI frames are maintained independently.

Sources: [2][3]

Harvest new rules from real review findings

Rule Harvesting derives guidance from problems found in AI-generated code instead of writing a large rulebook upfront.

Sources: [2][3]

For teams preserving engineering conventions across AI tools

It fits teams that want durable rules to survive migrations between Claude Code, Cursor, Kiro, and future tools.

Sources: [2]

Balance rule coverage against context cost

The project recommends loading only a small project-specific subset continuously and running broader checks after generation.

Sources: [2][4]

Official sources

  1. [1]yunbow/ai-dev-os repository(2026-09-20)
  2. [2]AI Dev OS README(2026-09-20)
  3. [3]AI Dev OS 4-layer model(2026-09-20)
  4. [4]AI Dev OS quick start(2026-09-20)
  5. [5]AI Dev OS MIT license(2026-09-20)
Supplemental curator note

AI Dev OS is a governance model rather than a prompt collection. It separates durable engineering guidance from volatile tool configuration and pairs small always-loaded rule sets with broader post-generation checks.

Try it in 3 steps

  1. 1

    Get the source

    git clone --depth 1 https://github.com/yunbow/ai-dev-os.git
  2. 2

    Enter the repository

    cd ai-dev-os
  3. 3

    Check the official steps

    Continue with the commands in the README Installation, Quick Start, or Getting Started section.

    find . -maxdepth 1 -iname 'README*' -exec sed -n '1,220p' {} \; -quit
Check the official README

Growth

Growth trends · Last 30 days

5 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
0
Open PRs
0

Development activity is still being collected.

Categories and tags

Categories

Tags

GitHub data

GitHub dataView detailed GitHub data
View on GitHub

GitHub Topics

  • ai-coding
  • context-engineering
  • ai-dev-os
  • ai-agents
  • ai-assistant
  • claude-code
  • claude-md
  • clean-architecture
  • code-quality
  • coding-guidelines
  • coding-rules
  • cursor-rules
Stars
5
Forks
0
Watchers
0
Open issues
0
Contributors
1
License
MIT
Repository last updated
Jul 18, 2026
Owner
@yunbow
Write a related article

Share a guide or use case for this OSS in Markdown. Articles are published after administrator approval.

Report incorrect information

Tell us if any listing information is incorrect or outdated.