DEDUPEDWhat do you want to do?
3 use cases
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Give your coding agent a structured delivery workflow
Install AWS Labs AI-DLC, configure it for your coding tool, and start work with /aidlc so the agent moves through phases with approval gates and an audit trail.
View prompt
This project uses awslabs/aidlc-workflows. Run /aidlc for: <goal>. Stop at each approval gate, summarise what the stage produced and what you need from me, and keep the audit trail up to date.
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Use one workflow across Claude Code, Kiro, Codex and Copilot
Configure the same AI-DLC core for each coding tool on your team, so everyone runs the same stages and gates whichever agent they prefer.
View prompt
Configure awslabs/aidlc-workflows in this repo for <my harness> and run aidlc doctor. Then compare the harness table in the README with what my teammates use (<tools>) and list any version minimums we do not meet.
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Build and test AI-DLC harness packages from source
Use the repo's Bun scripts to regenerate harness packages from core, check that output is deterministic, and run smoke, unit and integration tests before a change.
View prompt
In my clone of awslabs/aidlc-workflows, change <stage or rule> in core/, regenerate packages, run the determinism check and the CI tests, and summarise any failures with the file that caused each.
Quick start with Aidlc Workflows
- Check you have what it needs: macOS, Linux, WSL or Windows PowerShell; A supported coding agent.
- Open awslabs/aidlc-workflows on GitHub and read the README and license.
- Install on macOS or Linux:
curl -fsSL https://github.com/awslabs/aidlc-workflows/releases/latest/download/install.sh | sh - In your project run
aidlc config --harness claude(or cursor, codex, opencode, copilot, kiro) - Check the setup with
aidlc doctor - Start the agent and run
/aidlc Build a REST API for inventory management, with your own goal
These steps come from our top use case, Give your coding agent a structured delivery workflow, which also has a copy-paste agent prompt.
Use this in your AI agent
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About this repo
- Who it is forTeams who want AI coding agents to follow a structured development life cycle instead of freeform prompting.
- Why it is hot5.4k stars, picked up by one AI source we track
- LanguageTypeScript
- Sourcegithub.com/awslabs/aidlc-workflows · Back to Hot repos
Requirements
- macOS, Linux, WSL or Windows PowerShell
- A supported coding agent
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Questions about Aidlc Workflows
What is Aidlc Workflows?
AI-DLC is an AWS Labs set of harness-neutral workflow steering rules that turn AI coding assistants into structured, verifiable software delivery workflows across Claude Code, Kiro, Codex CLI, Cursor, opencode and GitHub Copilot. It is an open-source project on GitHub: https://github.com/awslabs/aidlc-workflows.
How do I use Aidlc Workflows?
Install on macOS or Linux: curl -fsSL https://github.com/awslabs/aidlc-workflows/releases/latest/download/install.sh | sh; then in your project run aidlc config --harness claude (or cursor, codex, opencode, copilot, kiro); check the setup with aidlc doctor. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Aidlc Workflows for?
Teams who want AI coding agents to follow a structured development life cycle instead of freeform prompting.
What can I do with Aidlc Workflows?
3 use cases so far, for example: Give your coding agent a structured delivery workflow; Use one workflow across Claude Code, Kiro, Codex and Copilot; Build and test AI-DLC harness packages from source. Each has steps and a copy-paste agent prompt.
What do I need to run Aidlc Workflows?
macOS, Linux, WSL or Windows PowerShell; A supported coding agent.
What are alternatives to Aidlc Workflows?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Aidlc Workflows safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.