Executable invariants
Formalise requirements as independently certified tests for Vitest, Jest, pytest, Go, Rust and Java—with vacuity checks and runner canaries.
03 / Governed coding CLI
Plumb turns a PRD or coding instruction into formal invariants, orchestrates adversarial engineering roles, locks governing requirements away from the implementation agent, proves completeness and deploys the exact certified artifact with rollback evidence.

Not a concept render
Implemented and tested: governed/resumable orchestration, independent invariant certification, adversarial role separation, sandboxed tools, encrypted secret vaults, provider routing, completeness proof, certified releases, deployment health checks, auto-rollback, durable audit and CLI packaging.
Plumb capabilities
Plumb is a connected product system. These capabilities are implemented in its current architecture, interfaces and operating workflows.
Formalise requirements as independently certified tests for Vitest, Jest, pytest, Go, Rust and Java—with vacuity checks and runner canaries.
Seven named delivery seats plus Professor, Kenzo, Re-engineer, Sentinel and Designer reviewers separate implementation from oversight.
Detect missing production obligations before code is accepted. Its offline three-arm proof catches omissions that one-shot and control runs miss.
Shadow Git checkpoints and locked paths stop an agent from rewriting the requirements or tests that govern its own success.
Use OpenAI- and Anthropic-compatible providers with explicit routing, cost attribution and no silent model substitution.
Docker boundaries, realpath confinement, shell-free argv execution and two encrypted vaults keep tool and secret handling structural.
Certify one artifact, revalidate its bytes and promote the same code hash through dev, QA and production while environment data stays separate.
Health checks, crash-safe deployment reconciliation, automatic rollback and durable journals connect coding to an operated release.
Used by Infinovation
Plumb ships a real offline completeness proof. In the captured run, its governed barrier stopped missing per-endpoint authorization and rate limiting before build; a governed control without that barrier and a one-shot implementation both produced code and both failed held-out acceptance.
Real-world comparison / Claude Code, OpenAI Codex, Gemini CLI and GitHub Copilot
Compared with Claude Code, OpenAI Codex, Gemini CLI and GitHub Copilot on the work each product is designed to do. This is positioning by architecture and workflow—not a claim that every product serves the same user.
Common questions
Not as a public hosted service. It is in private access as a production candidate for local and single-tenant use.
Its gates, tool boundaries, release checks and audit evidence are implemented in the harness rather than expressed only as instructions to a model.
Yes, through configured shell-free adapters with health checks, promotion controls and automatic rollback behavior.
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Talk to us about the current access path, product fit and what is coming next.