#6868th of 149 in Skills, plugins and rules

aidlc-workflows

Approval-gated delivery workflows for AI coding assistants

Stars
5.3k
License
MIT-0
Last commit
Oct 2026
Last release
Oct 2026
Language
TypeScript
Stars, last 29 weeks+4,373
25 Mar 2026: 899 stars1 Apr 2026: 1,006 stars8 Apr 2026: 1,110 stars15 Apr 2026: 1,194 stars22 Apr 2026: 1,349 stars29 Apr 2026: 1,473 stars6 May 2026: 1,591 stars13 May 2026: 2,061 stars20 May 2026: 2,342 stars27 May 2026: 2,518 stars3 Jun 2026: 2,732 stars10 Jun 2026: 2,880 stars17 Jun 2026: 2,998 stars24 Jun 2026: 3,114 stars1 Jul 2026: 3,284 stars8 Jul 2026: 3,410 stars15 Jul 2026: 3,573 stars22 Jul 2026: 3,696 stars29 Jul 2026: 3,801 stars5 Aug 2026: 3,910 stars12 Aug 2026: 4,017 stars19 Aug 2026: 4,133 stars26 Aug 2026: 4,231 stars2 Sept 2026: 4,333 stars9 Sept 2026: 4,528 stars16 Sept 2026: 4,719 stars23 Sept 2026: 4,852 stars30 Sept 2026: 4,994 stars7 Oct 2026: 5,124 stars14 Oct 2026: 5,272 stars

899 on 25 Mar 20265,272 on 14 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

AI-DLC installs a harness-neutral workflow engine into Claude Code, Kiro CLI and IDE, Codex CLI, Cursor, opencode and GitHub Copilot. A single /aidlc command picks one of 11 workflow profiles, runs 33 stages across 5 phases with 14 agents, and stops at human approval gates. State, a 119-event audit trail and learned rules persist per project.

Who it is for: Teams adding gated, auditable delivery workflows to AI coding assistants

Strengths

  • Same engine across seven harnesses, configured with `aidlc config --harness`
  • Human approval gates and a 119-event audit trail
  • 11 workflow profiles, including bug fix, infrastructure, security and proof of concept
  • Native installer; Bun and Node.js not needed for normal install

Weaknesses

  • Needs a separate harness and model provider; AI-DLC supplies neither
  • Install is a curl-to-shell script; manual path requires Bun
  • Large surface (33 stages, 14 agents, 93 tools) means a learning curve
  • Recommended model is Claude Opus 4.8; quality on other models unknown

What it needs

  • no GPU
  • Needs Claude Code, Kiro, Codex CLI, Cursor, opencode or GitHub Copilot, Bun (manual-copy install only), Amazon Bedrock (optional)
  • Models: Claude Opus 4.8 (recommended), Amazon Bedrock, Provider set by harness

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