What it is
A shared workspace where product, engineering, QA and AI agents take an idea to production, and learn from what shipped.
Multiplayer AI for software teams.
Claude Code and Cursor make one developer fast. Signals AI-DLC puts your whole team and its agents in one hive-mind, so decisions, specs, tests and build context stay shared from idea to production, and back.
30-day free trial · No credit card · Bring your own coding agent
Who it's for
Teams that already use AI coding tools and still ship on the same calendar as last year.
What it's not
A coding agent. Keep Claude Code, Cursor or Codex. SignalsAI runs the lifecycle around them.
A coding agent is single-player. Shipping software is not.
Why not just Claude Code or Cursor? Because the code is ready in an hour, and then it waits on a decision from product, a review from someone eight time zones away, a spec nobody updated. The build got fast. The team around it didn't.
Solo AI
Claude Code · Cursor · Codex
- One person, one chat. The context lives in one head.
- The PRD goes stale the day after sign-off.
- The agent builds the wrong thing, perfectly, because nobody updated the spec.
- QA tests last month's requirements. Leaders assemble status by hand.
Multiplayer AI
Signals AI-DLC
- The whole team and every agent share one hive-mind.
- Agent questions become recorded decisions the moment they're answered.
- PRD and spec are versioned artifacts, not attachments in a thread.
- Your coding agent builds from the approved context. Tests, deploy and what you learned flow back to the same place.
We don't replace your coding agent. We make it play on a team.
Idea to production, and back again. With the whole team in the loop.
Seven stages, one shared context. Humans make the decisions, agents do the execution, and what you learn in production feeds the next idea instead of a retro nobody reads.
Build happens in a private window with your own coding agent. Your code never leaves your environment.
- 1IdeaDropped into the shared thread. Everyone sees it.
- 2DecisionsAgents ask. Answers are recorded with a name and a time.
- 3PRD & specDrafted by specialist agents as versioned artifacts.
- 4BuildPrivate window, your coding agent, approved context attached.
- 5Test & reviewAgainst today's requirements, with the PR back in the thread.
- 6DeployShipped with its decisions, spec and build context attached.
- 7LearnWhat production taught you becomes the next idea.
The hive-mind: everything your team and your agents know, in one place.
Not a chat log. A shared memory that every person and every agent reads from and writes to. Underneath it is a knowledge graph of your code, your decisions and your artifacts, built once and kept warm. When a decision changes, the PRD, the spec, the tests and the next build all know.
- Knowledge graph· modules, decisions and artifacts mapped once, so agents answer from the map instead of re-walking the repo
- Decisions· recorded next to the work, searchable later
- Artifacts· PRD, spec, plan, branch, all versioned
- Agent activity· every agent works visibly, in the open
- Private windows· focused building that syncs back when ready
SignalsAIAI-DLC
+3We should add multi-tenant support for the dashboard. Here's the context...
Asking clarifying questions...
- What are the tenant isolation requirements?
- How will this impact existing users?
- Should we support custom domains?
Good questions. Here are the answers:
Multi-tenant requirements3 key points...
Message the team or @agent...
It knows your codebase once. It keeps your secrets out of the model, every time.
Every agent in the hive-mind, including the one you bring, works through the same memory and the same door. That is what makes it fast, and what makes it safe enough for the whole company to use.
A knowledge graph, kept warm
We map how your modules, decisions and artifacts connect: auth, billing, schema, routes, tests, the real shape of the work. Every agent asks the map instead of searching the tree from scratch. Faster answers, less noise, lower cost.
Standards travel with the repo
Your conventions and blocked patterns ride along on every prompt, for every agent, in every window, shared or private. Nobody pastes the rules in and hopes.
Secrets never reach the model
Keys and PII are caught before the call. Every person has their own access and every team its own budget, so you can switch one person off without touching the rest.
The controls your platform team would ask for on any AI tool, already built into the way the team works. One place to see who asked what, which model answered, and what it cost.
Watch the team and the agents share one thread.
A short walkthrough of shared context, agent activity, private builds, and what comes back to the team.
Built for everyone who ships, not just the person typing.
Product
Your PRD stays live.
Agents ask you the questions before the build, not after. Decisions land in the doc the moment you make them.
Engineering
Build from an approved spec.
Use your own coding agent, with the decisions attached. No more perfect builds of the wrong thing.
QA
Test today's requirements.
See every decision that changed them, and when. Test plans come from the same context the build used.
Engineering leaders
Status comes from the work.
Decisions, artifacts, deploys and agent activity are the status. No Thursday-night assembly.
Built on the open AI-DLC methodology, run as a shared workspace.
AWS introduced the AI-Driven Development Lifecycle and AWS Labs publishes the open workflows. SignalsAI is independent and not affiliated with AWS. How we implement it
- 5
- phases
- 33
- stages
- 14
- specialist agents
Questions teams ask before they try AI-DLC.
The methodology, workspace, and coding tools each have a distinct job. Here is where the boundaries sit.
Stop playing single-player. Put your team and your agents in one hive-mind.
Multiplayer AI for software teams. Bring your own coding agent, keep your code where it is, and ship from the same context every time.
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