Repositories
- GitHub
Where conversations become shipped code
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exports · team session
Priya, Jordan · Dev, Cursor
Want to see an example?
Priya, Jordan, Dev, and Cursor take a broken export from report to live.
The harness
Most teams talk in chat, file a ticket, ask an agent to work on it, open a pull request, then ping someone when it ships. DevSpec is the proven harness for the whole lifecycle. You discuss the change. You watch it get built. AI remembers everything.
Why DevSpecThe room
You talk. Coding agents listen. You decide. They build.
Team SessionsJordan
PM
Cursor
Agent
Priya
Design
Claude Code
Agent
Marcus
Engineer
Alex
Founder
Where your team and coding agents bring your product to life.
Autopilot
Local coding agents group together to get work done. The product comes to life, in front of you.
AutopilotCheckout retries
Cursor · on your machine
Empty state for the deployments page
Claude Code · on your machine
Rate limit headers on the public API
Grok Build · on your machine
Invite email from the new org flow
Queued · next in the swarm
A swarm of local agents works in parallel.
Memory
Who says it, what they decide, and why. Coding agents arrive already knowing.
MemoryExports either download, or say what went wrong
Stay quiet while it is still retrying. Once it has given up, say so. The March call to never interrupt someone over a retry was right for a blip and wrong for a real failure.
Webhook signatures verify out of band
Inline verification blocked the worker pool under load. The constraint was latency, not security.
New people read the record first
Do not recap a settled decision in the room. Point at the memory. The next agent arrives already knowing.
Context for the agents. Fuel for the next conversation.
The right amount of human
Too much human and things take too long. Not enough and things go wrong. DevSpec brings people in when judgement is needed. Otherwise the agents drive.
VerificationJudgement stays human. AI does the heavy lifting.
Exponential backoff for Stripe webhook retries
Checked by the agent that did the work. Evidence cited per line.
Judgement stays human. AI does the heavy lifting.
Ask. Report. Steer.
Product, sales, anyone with a view. No technical language required. Ask questions, flag problems, and say what you want to see. The room remembers it.
Team Sessions→Context is already there.
Your local coding agent arrives knowing what was decided and why. You discuss. It builds. You stay for the judgement calls.
Bring your own agent→You check when it matters.
Testers, reviewers, leads. You see the evidence. You sign it off — or send it back.
Verification→Every client, still there.
Agencies, consultancies, studios. Each engagement keeps its own decisions and its own record, so picking one back up does not start with remembering where you left it.
Client work→Repositories
Hosting & Deploys
Databases
Logs & Observability
Coding Agents
Plainly
The coding agents you already run stay on your machines. DevSpec is the room they work in, not another editor to switch to.
Most teams build their own: rule files, prompts, and glue so the agent understands the product. It works until the product moves, then you are maintaining the harness instead of shipping. DevSpec is that workflow, already built.
DevSpec reads your repositories through GitHub and never trains on your data. The agents that write code run on your machines, under your own accounts.
Who says it, when, and why. From the conversation to live, verified code.
Jump into a session using your favourite coding agent and watch the product move.
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