AI-native delivery system

Agent-Team

Paired lifecycle tools define what gets built and control how it is implemented, reviewed, integrated, and released, with isolated worktrees and acceptance gates.

Read the full field guide ↗View public repository ↗

The problem

Parallel AI-assisted delivery needs clear ownership and a way to prevent an unreviewed change from entering shared work.

Controlled delivery flow

An orchestrator reads ready work, checks scope and dependencies, assigns bounded tasks, and sends each developer into a separate Git worktree. A separate reviewer checks the completed revision before integration.

Safety and quality controls

File ownership, worktree isolation, review-remediation cycles, acceptance gates, durable checkpoints, and fail-closed policy handling keep the lifecycle explicit rather than trusting an agent summary as proof.

Handoff and outcome

Only verified revisions reach the integration branch. Release remains a separate, authorized gate with validation and checksum-backed versioned releases.

Technical hand sketch of the Agent-Team workflow with agent roles, worktree isolation, and focused context practices. — Agent-Team workflow overview from the public field guide.

Hand-sketched Agent-Team delivery flow from ready work through review, integration, and a separate release gate. — The public field guide keeps release authority separate from integration.

Architecture schematic — not a product screenshot

Discovery→System design→Validated delivery

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Model and effort routing

Release validation and checksums