Run 12+ AI agents concurrently. One identity. Full governance. Measurable ROI.

graph TD
    subgraph Intent["HUMAN ORCHESTRATOR"]
        O["Intent<br/>& Oversight"]
    end

    subgraph Agents["CLAUDE AGENTS (12+)"]
        A["Feature | Bug Fix<br/>Docs | Review"]
    end

    subgraph Verify["GEMINI VERIFICATION"]
        G["LLD Review | Code Review<br/>Security | Quality"]
    end

    subgraph Gov["GOVERNANCE GATES"]
        M["Requirements | Implementation<br/>Reports | Audit Trail"]
    end

    subgraph Orch["END-TO-END ORCHESTRATION"]
        R["LangGraph Pipeline<br/>Triage → LLD → Spec → TDD → PR"]
    end

    O --> A
    A --> G
    G --> Gov
    Gov --> R
    R -.->|"Feedback Loop"| A

This isn't theoretical. AssemblyZero has been under continuous development for 70 days with contributions on 64 of them (91.4%). Only 6 days off since January 10, 2026.

Daily Activity Log → · Metrics Dashboard → · March 2026 Velocity →

206 issues closed and 182 commits since the last major wiki update. Seven capability themes shipped:

AI coding assistants like Claude Code and GitHub Copilot are transforming software development. But enterprise adoption stalls because:

Organizations run pilots. Developers love the tools. Then adoption plateaus at 10-20% because the infrastructure layer is missing.

Claude builds code. Gemini reviews it. This isn't "two models" — it's adversarial verification where one AI checks another's work before humans approve. Learn more →

Two-layer hook system protecting secrets from AI agent session transcripts. 12 of 17 identified bypass vectors blocked; 5 remain provably unblockable (Turing-complete). Learn more →

System prompt caching (90% savings on repeated context), Haiku routing for boilerplate, batch generation, $5 budget guards, circuit breakers. Learn more →

Cerberus GitHub App auto-approves PRs after pr-sentinel validation passes. No human bottleneck, no self-approval workarounds. Fleet-deployed across all repos. Learn more →

Windows' 32,767-character process creation limit blocks large LLM prompts. The fix: write the system prompt as CLAUDE.md in a temp directory with a fake .git marker. Prompt caching preserved, zero overhead. Learn more →

The system learns from Gemini verdicts to improve templates automatically. 164+ verdicts analyzed, 6 template sections added. Learn more →

Permission friction is the #1 adoption killer. Dedicated friction logging protocol (Zugzwang) identifies patterns and auto-remediates. Learn more →

AssemblyZero implements a five-stage governed pipeline:

graph LR
    T["Triage"] --> L["LLD"]
    L --> S["Spec"]
    S --> I["TDD Impl"]
    I --> P["PR"]

Issue → Triage → Design → Spec → Code + Tests → Pull Request. Each stage is retryable, resumable, and gated. Learn more →

graph TD
    I["Issue Created"]
    L["Write LLD"]
    G{"Gemini<br/>Review"}
    R["Revise"]
    A["APPROVED"]
    C["Ready for<br/>Implementation"]

    I --> L
    L --> G
    G -->|"BLOCK"| R
    R --> G
    G -->|"APPROVE"| A
    A --> C

Design documents are reviewed by Gemini before any code is written. Learn more →

graph TD
    S["Start Coding"]
    W["Create Worktree"]
    I["Implement"]
    T["Run Tests"]
    R["Generate Reports"]
    G{"Gemini<br/>Review"}
    P["Create PR"]
    M["Merge & Cleanup"]

    S --> W
    W --> I
    I --> T
    T --> R
    R --> G
    G -->|"BLOCK"| I
    G -->|"APPROVE"| P
    P --> M

Code is reviewed by Gemini before PR creation. Worktrees enforce isolation — each issue gets its own sandbox. Learn more → · Worktree Isolation →

Full cast →

See: LangGraph Evolution for the full technical vision.

1. Find your path — Start Here (top of this page)
2. Read the architecture — Multi-Agent Orchestration
3. See the pipeline — End-to-End Orchestration
4. Understand cost control — Prompt Economics
5. See the velocity — March 2026 Velocity Report
6. Try it — Quick Start

"A man is not dead while his name is still spoken." GNU Terry Pratchett