The control plane for AI engineering work
The grounded evidence engine supplies proof. The agent coding workbench turns local implementation into a bounded loop: inspect, edit, verify, recover, and report.
Why teams notice
Everything the agent needs is already on the bench
Search, edit, shell, diff, build, memory, docs, artifacts, tags, cleanup. One cockpit. One boundary model. One serious workflow.
Repo visibility with command-center polish.
Fast discovery. Clean readback. No messy raw dumps.
Proof is part of the product
The workflow has rhythm: scope, act, verify, iterate, commit, report. It feels fast because the guardrails are already there.
Plan
Pick the mission. Lock scope. Name the win.
Bead requiredAction
Move with intent. Keep the surface tight.
Changes namedVerify
Run the checks. Keep the proof.
Evidence firstIterate
Tune, rerun, and stay inside the lane.
Bounded loopsCommit Gate
Refresh the map. Make the verified state durable.
tags_updateReport
Close with evidence. Leave the next operator ready.
Close cleanlyPower, boxed and ready
The product promise is simple: give agents serious coding power without letting the workspace become untraceable.
Proof engine
Grounded knowledge, retrieval, durable wiki memory, and corpus proof.
Execution control plane
Bounded tools, proof gates, task memory, verification, contracts, and service operation.
Repeatable expert workflows
Trigger routing, repeatable workflows, helper review, wiki curation, and portable agent behavior.
The coding workbench that makes agents production-ready.
Raw agent capability becomes a polished engineering control plane: fast to use, hard to misuse, easy to verify, and impressive on sight.