awslabs/aidlc-workflows
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents observed · 2026-10-21
Health v2 · maintenance only
85/100
- Activity 100
- Release rhythm 100
- Longevity 24
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 9.5
- age_days: 341
- days_rel: 1
- days_push: 0
- n_releases_24m: 19
Adoption not part of the score
5426 stars · 978 forks observed · 2026-10-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
AI-DLC Workflows is AWS's implementation of the AI-Driven Development Life Cycle methodology, packaged as adaptive workflow steering rules, skills, agents, and hooks for AI coding agents. It renders a harness-neutral core into distributions for tools like Claude Code, Kiro, Cursor, Cline, GitHub Copilot, and OpenAI Codex.
Use cases
- structure ai coding agent workflows with quality gates
- run an ai-driven software development lifecycle
- add steering rules to claude code or kiro
- manage requirements to code workflow with ai agents
- standardize team ai-assisted development process
- generate verifiable artifacts from ai coding sessions
When to choose
- you use AI coding agents (Claude Code, Kiro, Cursor, Copilot, Codex) and want a structured, gated development methodology
- you want consistent, reviewable AI-generated development artifacts across a team
- you need workflow profiles for different work types like MVPs, bugfixes, refactors, or security patches
When to avoid
- you want a standalone CI/CD or project management tool rather than rules for AI coding agents
- you prefer lightweight ad-hoc prompting without a formal lifecycle methodology
- your coding agent is not among the supported harnesses and you cannot port the rules
Facets
framework · maturity active
agent-framework workflow-automation developer-tools code-review documentation developer-tools cli cross-platform python ai-coding-agents software-development-lifecycle workflow-rules steering-files claude-code kiro cursor github-copilot methodology harness-neutral ai-agents automation
2 sources
- readme: https://github.com/awslabs/aidlc-workflows · fetched 2026-10-21 · 4d4af30aa23b
- homepage: https://awslabs.github.io/aidlc-workflows/ · fetched 2026-08-29 · 9aac3ce301bc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| awslabs/aidlc-workflows | main | 85 |
For agents
markdown · JSON · MCP: product_card(name="awslabs/aidlc-workflows")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem