AI Code Governance for Critical Software

Accept AI-generated code you can actually defend.

See exactly what an AI-generated change touched, what’s safe to move forward, and what still needs review, before it reaches production. Backed by a deterministic, source-derived record every reviewer can check for themselves.

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Delivered where a wrong line of code has real consequences

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The hard part isn’t generation anymore

AI can generate code fast, whether it’s a legacy rewrite or today’s pull request. What stalls it is acceptance: proving the change is complete, traceable, and ready to move forward before it reaches production.

Acceptance built in, not scrambled together at the end.

Generation

Fast, and getting faster. Every AI coding tool already does this.

Acceptance

Complete, traceable, reviewable. This is where software change actually stalls.

From AI-generated diff to production acceptance

01

See what changed

Every AI-generated diff is traced back to the source, line by line, so nothing enters review as a black box.

02

Know what to trust

Each change is checked against a deterministic, source-derived evidence layer. What can’t be verified fails explicitly, not silently.

03

Accept with confidence

Reviewers get the evidence itself, not a summary of it, so they can check the record before a change is accepted into production.

Proof of accounting. Evidence of behavior.

Where the stakes are the highest

Banking and model risk

Federal and defense

Healthcare payer systems

Aerospace certification

Wherever the cost of an unexplained change is measured in more than an incident report, Holonic gives reviewers something to check it against.

Wherever the cost of an unexplained change is measured in more than an incident report, Holonic gives reviewers something to check it against.

See CodeIntent Studio

See what changed, before production acceptance.

See how Holonic traces and checks a real change, evidence included, in a live walkthrough with our team.

LLMs propose. Holonic verifies.