DevGenie
Make Disciplined AI Coding Un-Skippable
DevGenie is the governance layer above your AI coding tools — an independent gate, artifact-verifying guards, and a signed audit trail wrapped around Claude Code, Cursor, and the rest. It runs on your own Claude subscription, and your architecture never leaves your machine.
AI writes more of your code every week. The hard question is no longer whether it can build — it’s whether you can trust what it built, and prove it.
“The AI Said It Was Done”
AI-generated code you can’t fully trust, with no independent check that the work actually matches what was asked.
No Evidence Trail
When an auditor, a regulator, or your own team asks how AI-produced code was verified, there is nothing signed to point to.
Architecture Drift
Load-bearing decisions quietly change as the agent iterates, and nobody re-checks them against the specification.
Why DevGenie is different
Every other tool lets the AI grade its own work.
Where competitors have an evaluation rubric at all, it is configuration the customer can edit — a self-assessment with extra steps. DevGenie’s gate is independent of the coding agent: the verdict is produced by a context that did not author the work, and it signs what it decides. A rubric the candidate can tune is not a gate.
And when work drifts from spec, most tools flag and guide. Same signal — opposite consequence:
Vibe coding vs Agentic Code Engineering
What DevGenie Does
Eight enforced guarantees wrapped around your AI coding loop
Independent Adversarial Gate
A rating gate independent of the coding agent reviews the work adversarially against the contract before it can pass.
Artifact-Verifying Guards
Guards read the actual record — files, tests, markers — rather than trusting the agent’s own report that a step is complete.
Signed Gate Markers
Every gate decision is recorded as a cryptographically signed marker, so a pass cannot be forged or assumed.
Evals Before Prompts
An evals-before-prompts chain checks behaviour against defined expectations before prompt changes ship.
Versioned Model-Delegation Policy
Which model may do what is governed by an explicit, versioned delegation policy — not left to chance.
Change-Control Re-Gating
Load-bearing changes automatically trigger re-gating, so a later edit cannot slip past the checks an earlier one passed.
Hash-Only Architecture Retention
Your architecture never leaves your machine. DevGenie retains hashes only — and can still prove nothing changed.
Signed, Hash-Chained Audit Trail
Every decision is written to a signed, hash-chained trail you can hand to an auditor.
How It Works
From coded contract to signed evidence in six steps
Contract
Define the specification as a coded, machine-checked contract — types, interfaces, schemas, fixtures — before any business logic.
Delegate
The AI coding agent builds against the contract, under a versioned model-delegation policy.
Verify
Artifact-verifying guards read the record; an independent adversarial gate rates the work against the contract.
Sign
The gate decision is recorded as a cryptographically signed marker.
Re-Gate
Any load-bearing change re-enters the gate — the checks cannot be skipped after the fact.
Evidence
Everything lands in a signed, hash-chained audit trail, with your architecture retained as hashes only.
Use Cases
Why DevGenie
It Governs the Agents — It Doesn’t Replace Them
DevGenie sits above Claude Code, Cursor and the rest, wrapping them in a gate, guards and an audit trail. It competes on governance, not on generating code.
Specs Are Coded, Not Just Written
Where spec-driven tools treat the spec as a document the agent can ignore, DevGenie makes it a machine-checked contract the gate refuses to build against when it’s wrong.
Independent by Construction
The rating gate is independent of the coding agent, and every decision is signed — so a pass can never be self-asserted.
Measured Against a Published Standard
In our own assessment against Google’s published agentic-engineering standard, 27 of 40 concepts exceed it — our assessment against a third-party standard, not a Google endorsement.
The question everyone asks
Why won’t a better model just do this?
Because a better model improves the verdict — it cannot give its own verdict independent authority. Writing code and reviewing code are capability; a model wins both, and we concede both. But authorising a build and attesting to it need a separately controlled decision point and a record bound to the artifact. Capability confers neither.
A brilliant CFO still cannot sign off their own audit. Independence is not a skill you can be good enough to skip.
For your team
Two ways to bring governance to AI-assisted development
Individuals & small teams
Run DevGenie against your own Claude subscription (Pro or Max). Bring your own agent; get the gate, the guards, and the signed audit trail around it. Early access now — pricing announced at general availability.
Request early accessTeams & enterprises
Seats, organisation-wide governance and audit trail, and the control plane for managing delegation and evidence at scale. Contact-led — we’ll shape a rollout with you.
Talk to us