AAiCodingAgentTeam

// features

Core features

Everything you need to orchestrate AI coding without giving up control.

Orchestration vs execution

The Coordinator orchestrates and never writes code. Host CLIs execute and never decide. No coupling, no blurred responsibility.

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Container-as-role

9 team roles — PM, Architect, Frontend, Backend, QA, Security, DevOps — each in its own container, independently scalable and replaceable.

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A2A protocol collaboration

Structured inter-agent messaging. InProc mode for development, Redis Pub/Sub for containerized deployment.

03 / 8

Deterministic quality gate

golangci-lint, go vet and go test run as a hard machine check. No relying on the model to grade itself.

04 / 8

RAG + project memory

BM25 retrieval injects context. Memory accumulates failure lessons and historical solutions across runs.

05 / 8

Four external protocols

gRPC for the TUI, MCP for external tools, ACP for standard Agent clients, A2A for cross-instance mesh.

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Local-first, keyless

Code stays inside the container. No API keys held. All authentication is delegated to the underlying host CLI.

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Scale-adaptive flow

A quick edit skips the DAG. A large project gets the full team. The platform adapts to the work, not the other way around.

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