DevGenie

Agentic Code Engineering

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 today, with support for more AI coding tools planned. It runs in Claude Code; the independent rating runs on the DevGenie service. Your code stays in your repository; the gate rates your architecture document on our server without storing it.

AI writes more of your code every week. The hard question now is whether you can trust what the AI 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, which makes it 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 it and offer guidance. DevGenie gets the same signal and acts on it:

flag itwarn and continuelet you overrideDevGenie refuses to advance

Vibe coding vs Agentic Code Engineering

The spec✕Optional prose the agent can ignore✓A coded, machine-checked contract; no build advances against a wrong one
The review✕The AI reviews its own work, or a rubric you edited✓A separate context, independent of the coding agent
The gate✕Only a warning you can skip✓A control: it refuses, and the refusal is signed
“Done”✕Whatever the agent claims✓The verified artifact, not the claim
The verdict✕Unsigned text, if it exists✓Cryptographically signed, so a hand-edited pass fails
The evidence✕An activity feed or lineage log✓Hash-chained, tamper-evident, exportable
AI spend✕A monthly total, with no view of what each task cost✓Metered per task, with every unit of AI spend attributed to the work that caused it

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) instead of 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 that you can read.

Change-Control Re-Gating

Load-bearing changes automatically trigger re-gating, so a later edit cannot slip past the checks an earlier one passed.

Architecture Rated, Not Stored

Your code stays in your repository. The gate rates your architecture document without storing it, and the signed result carries a hash you can check against the document that was rated.

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

1

Contract

Define the specification as a coded, machine-checked contract (types, interfaces, schemas, fixtures) before any business logic.

2

Delegate

The AI coding agent builds against the contract, under a versioned model-delegation policy.

3

Verify

Artifact-verifying guards read the record; an independent adversarial gate rates the work against the contract.

4

Sign

The gate decision is recorded as a cryptographically signed marker.

5

Re-Gate

Any load-bearing change re-enters the gate. The checks cannot be skipped after the fact.

6

Evidence

Recorded decisions land in a signed, hash-chained audit trail; your architecture document is rated without being stored.

Use Cases

Representative scenarios, illustrating how the platform is applied

Why DevGenie

It Governs the Agents and Doesn’t Replace Them

DevGenie sits above your AI coding agent (Claude Code today, more tools planned), wrapping it in a gate, guards and an audit trail. It competes on governance and leaves code generation to the agent.

Specs Are Coded as Well as 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 (5 July 2026) against Google’s whitepaper “The New SDLC With Vibe Coding” (May 2026), 27 of 40 concepts exceed it. That is our own assessment against a third-party standard, and Google has not endorsed it.

Model architecture

Governance that stands apart from the model

DevGenie's verdicts and audit trail are computed and signed server-side, independent of the agent that wrote the code. The judge runs behind a provider-agnostic interface; Claude Code is the supported client today, with further commercial and open-weight model integrations planned.

The question everyone asks

Why won’t a better model just do this?

Because a better model improves the verdict, but 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

Use DevGenie in Claude Code: get the gate, the guards, and the signed audit trail around it. Sign up and choose your plan on the DevGenie portal.

Get started

Teams & enterprises

Seats, organisation-wide governance and audit trail, and the control plane for managing delegation and evidence at scale. Contact-led, and we’ll plan a rollout with you.

Talk to us

FAQ

Frequently asked questions

What is DevGenie?

DevGenie is Agentic Code Engineering. It is a governance layer that sits above your AI coding agent: Claude Code today, with support for more AI coding tools planned. It wraps the agent in an independent gate, artifact-verifying guards, and a signed, hash-chained audit trail.

Does DevGenie replace Claude Code?

No. DevGenie governs the coding agents and leaves them in place. It enforces contracts-before-code and keeps evidence of the work they produce.

Where does my code and architecture go?

Your code stays in your repository, on your machine. When you run the gate, your architecture document is sent to the DevGenie service to be rated; the service does not store it, and the signed result carries its hash.

How is DevGenie delivered?

As a Claude Code plugin backed by the DevGenie service, where the independent ratings run.

Is DevGenie available now?

Yes. Sign up and choose your plan on the DevGenie portal; Enterprise is arranged with us directly. The DevGenie docs show how to get started.

Bring governance to your AI-assisted development