One-time diagnostic

AI Code Stability Probe

CA$500

A governed probe for AI-generated or AI-assisted codebases that focuses on closure risk, code/test shape, and evidence gaps — whether generated output is stable enough to rely on before you build on it, demo it, ship it, or hand it to a developer. It does not fingerprint or detect which model wrote the code.

After delivery, clients may provide private feedback and optionally approve a public testimonial.

What this probe helps you decide

Whether a bounded AI-generated code slice should be promoted, held, sandboxed, repaired, or scoped for custom work before anyone builds on it.

Best lifecycle moment

After AI-generated code looks complete but before demo, handoff, implementation spending, or production claims.

What you submit

A bounded AI-generated code slice, public repo, or safe project surface plus the decision the report should support.

What product or surface this targets

Tell us the product, service, feature, SDK, app, workflow, dependency choice, AI-generated slice, or legacy module inside the repo/project that the probe should focus on. The repo is evidence; it is not automatically the whole target.

What we inspect

Visible tests, wiring, config, dependencies, hallucinated assumptions, unsupported packages, deployment gaps, and false-closure seams.

What the report returns

CA$500 buys one false-closure decision report for a bounded AI-generated code slice: verdict, findings, evidence, highest-risk seams, and next stabilizing move.

Sample report / example

See the RuView AI Code Stability sample: a false-closure report for a codebase whose docs and structure imply more runtime confidence than the public evidence supports.

After delivery

If you repair a named false-closure seam, a small Closure Verification follow-up can check whether that specific seam improved, closed, regressed, or still needs rerun. It reviews the accepted evidence surface only and does not certify production readiness or guarantee stability.

What this does not include

  • Implementation
  • Production certification
  • Security audit
  • Full code review

Boundary of claim

This probe checks visible support for AI-generated code. It does not make the code production-ready or certify that all behavior is correct.

Best-fit examples

  • AI-built feature with shallow tests.
  • Generated app that appears complete but has unwired paths.
  • Prototype with invalid config, unsupported dependencies, or deployment gaps.