Structured planning
Convert rough product intent into scoped implementation steps, checks, and review gates before execution begins.
AI Programming Infrastructure
Build, inspect, and ship with agentic coding systems.
CodeAgent Lab explores practical tooling for AI-assisted development: planning loops, code execution surfaces, telemetry, and reproducible engineering workflows.
Workflow
Designed for repeatable AI coding loops.
Execution surfaces
Run coding agents against local tools, terminals, repositories, and browser previews with reproducible context.
Verification trails
Capture command output, runtime checks, and decision notes so changes remain inspectable after handoff.
Runtime
Operational signals for developer automation.
Lightweight telemetry keeps long-running coding workflows legible: queue health, task progress, artifact checks, and deployment notes.
Planner API
Operational
Execution Runtime
Operational
Artifact Store
Operational
Preview Gateway
Operational
Engineering Notes