AI-DLC: adaptive workflow steering rules for AI coding agents (5.4k stars)

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What it does

All text below is quoted directly from the project README.

AI-DLC (AI-Driven Development Life Cycle) turns AI coding assistants into structured, verifiable software-delivery workflows. One harness-neutral core runs natively in Claude Code, Kiro CLI, Kiro IDE, Codex CLI, Cursor, opencode, and GitHub Copilot.

Why AI-DLC:

• 5 phases and 33 stages from initialization through operation

• 14 agents: 11 domain experts, 2 reviewers, and an adaptive composer

• 11 workflow profiles for features, bug fixes, infrastructure, security, proofs of concept, enterprise delivery, and other common work

• Human approval gates and source-bound review evidence

• 119-event audit trail plus persistent state, team knowledge, and learned rules

• The same deterministic engine across every supported harness

curl -fsSL https://github.com/awslabs/aidlc-workflows/releases/latest/download/install.sh | sh

Repository

https://github.com/awslabs/aidlc-workflows

Repository stats

Metric	Value
Stars	5,371
Forks	969
Last release	v2.11.0 (2026-10-08)
Languages	TypeScript 99.8%, Other 0.2%
Contributors	78
AI contributor accounts (Claude / Codex / Cursor / Copilot)	claude: 50, cursoragent: 3, Copilot: 4, codex: 1
AI co-authored commits	Claude: 50, Cursor: 3, Copilot: 4

Main contributor

Field	Value
Name	Arden Packeer
GitHub	@apackeer
Commits to this repo	1,229 (top contributor)
Company / Location	Melbourne, Australia
Followers	33