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AI-DLC Workflows

Structured, gated development lifecycle workflows for AI coding agents

  • AI coding agents
  • Developer tools
View on GitHub
Website

What it is

AI-DLC installs an `aidlc` command that layers a phased software-delivery process onto coding agents such as Claude Code, Codex CLI, Cursor, Kiro, opencode, and GitHub Copilot. Each request is matched to a profile for feature work, bug fixes, infrastructure changes, or security tasks, then moves through staged agents, human approval gates, and a persistent audit trail. Engineering teams adopt it when they want agent-driven work to keep requirements, decisions, code, and tests connected and reviewable across a project.

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Facts

Stars
5,418 GitHub stars.
5,418

Forks
977
Commits
1,694
Contributors
74
Language
TypeScript
License
MIT-0
Last commit
Oct 20, 2026
On GitHub since
November 2025
First release
January 2026
Platforms
macOS, Windows, Linux, CLI
Self-hostable
No
Tags
  • agent-skills
  • multi-agent
  • coding-agent
  • spec-driven-development
  • agent-harness

Last synced from GitHub on Oct 20, 2026

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