The short version
AWS Labs publishes the AI-DLC workflows as open files under the MIT-0 license, so teams can add them to tools such as Claude Code, Kiro, Cursor, and GitHub Copilot. Community members have built plugins and skills around them too.
That is a good way to try the methodology. It is free, and it stays in the repo. The limit is that it lives in one person’s coding session. SignalsAI AI-DLC puts the same methodology in a shared workspace, so stakeholders, developers, and agents work in one thread, and the decisions and specifications stay attached to the work.
At a glance
| Dimension | SignalsAI | AI-DLC plugins and skills |
|---|---|---|
| Primary job | A shared workspace product for the AI-driven development lifecycle | Methodology files and skills you add to your own coding tool |
| Where it runs | In the SignalsAI workspace | In your coding tool, in one person’s session |
| Who takes part | Stakeholders, developers, and agents in one conversation | Mostly the person running the session |
| Shared record | Decisions, PRD, specifications, tasks, and activity in one place | Files in your repo, plus the session’s chat history |
| Agent model | Lifecycle structure with shared artifacts and review | Open workflows with 11 domain specialists, plus reviewers and a composer |
| Setup | Early access sign-up | You install and configure it yourself |
| Code and hosting | Code stays in the customer environment; the AI-DLC application supports self-hosting | In your repo, in your tool |
| Cost | 30-day free trial in early access, no credit card required | Free and open source; you pay for model usage |
Where AI-DLC plugins and skills is strong
Free and open
MIT-0 licensed workflows avoid vendor lock-in for teams that want to try the method in place.
It stays in your repo
The rules and generated docs sit with your code.
Works with the tool you have
Developers can keep working in Claude Code, Cursor, Kiro, or another supported coding tool.
Easy to try
Install, configure, and describe the work without adopting a new product.
What SignalsAI adds
Shared by default
The product manager, designer, and developer see the same questions and answers.
Decisions are recorded as you go
They sit next to the PRD and specifications instead of in someone’s scrollback.
Built-in hand-off
Approved context moves to a private window, and the result returns to the shared thread.
No methodology files to maintain
The lifecycle is built into the workspace.
Customer-controlled environment
SignalsAI does not access customer code, and the SignalsAI AI-DLC application supports self-hosting.
Which is the better fit?
Start with the open workflows
You are a single developer, or a small team that works in one repo and wants to learn the method.
Choose SignalsAI
More roles need to take part, or decisions are disappearing between sessions.
SignalsAI is independent. It is not affiliated with or endorsed by AWS, and community plugins are separate projects.
See AI-DLC with your own workflow.
Early access includes a 30-day free trial. No credit card required.