CodeOps
A multi-agent engineering workspace connecting plans, implementation, tests, review, and human approval.
ENGINEERING AUTOMATIONCodeOpsPython / React / TypeScript / FastAPIProject case study ↗
01 / CONTEXT
The problem and the approach.
The problem
AI-assisted implementation needs a traceable path from the initial goal to reviewable work and an explicit human decision.
The approach
A task-centered workspace organizes planning and specialized agent stages, with human approval before delivery.
02 / CAPABILITIES
What the project does.
- 01Goal-to-task planning
- 02Developer, tester, and reviewer stages
- 03Engineering board
- 04Human approval
- 05Git integration
03 / ARCHITECTURE
Under the surface.
Select a component to understand its role.
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Engineering decisions.
- 01Keep human approval visible as a distinct workflow stage.
- 02Separate the guided public demonstration from live code execution.
- 03Leave anonymous execution disabled until a secure disposable sandbox is available.
SOURCE
Browse source code ↗