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AI Agents for Aerospace: Test Suites That Survive a Certification Audit

Proof builds requirement-to-test traceability matrices for aerospace suppliers facing an AS9100 or DO-178C-adjacent audit, coordinating with Chain on supply chain SBOMs and Warden on security review, so no requirement and no test result goes unaccounted for.

Agent: Tonone Proof (QA & Testing).
Canonical human page: https://tonone.ai/blog/ai-agents-for-aerospace
Raw JSON: https://tonone.ai/blog/ai-agents-for-aerospace.json

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Tonone's Proof builds requirement-to-test traceability matrices that map every safety-critical requirement to a test case and a verifiable result, the artifact an aerospace certification audit expects to see.
Proof's proof-strategy skill sorts a requirements baseline by risk tier, assigning coverage targets by consequence of failure rather than a single blanket percentage.
Proof's proof-audit skill isolates flaky tests specifically on safety-critical requirements, since a flaky test on a Tier 1 requirement is a certification liability, not a minor nuisance.
Tonone's Chain generates a software bill of materials tied to a specific build hash, giving aerospace suppliers the same lot-level traceability for firmware dependencies that AS9100D already requires for physical components.
Tonone's Warden runs security audits with warden-audit in parallel with Proof's test cycle, so DO-326A/ED-202A review findings surface before the external review starts, not after.
Proof's proof-recon skill produces a coverage gap list prioritized by requirement risk tier, with a time-to-audit-ready estimate, rather than a flat pass/fail percentage.
Proof, Chain, and Warden together cover the three traceability obligations an aerospace supplier faces at once: requirement-to-test, dependency-to-build, and security-finding-to-resolution.

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FAQ

What does Tonone's Proof do for aerospace test traceability?
Proof is tonone's QA and testing engineer. For aerospace suppliers, it builds requirement-to-test traceability matrices with proof-strategy, writes end-to-end suites against hardware-in-the-loop rigs with proof-e2e, and audits existing suites for flaky tests and coverage gaps with proof-audit, all mapped to a requirements baseline rather than to a generic test coverage percentage.
Can AI agents help pass an AS9100 surveillance audit?
Yes. Tonone's Proof produces a prioritized coverage gap list against your requirements baseline with a time-to-audit-ready estimate. Chain generates the build-linked SBOM AS9100D clause 8.1.1 requires for lot traceability, and Warden runs security audits so findings are resolved before the audit, not during it.
How does Proof handle flaky tests on safety-critical requirements?
proof-audit isolates flaky tests and cross-references them against requirement criticality. A flaky test on a Tier 1 safety-critical requirement is flagged as a certification liability that needs fixing before the audit, distinct from routine flakiness on a non-critical requirement.
What is chain-sbom and why does an aerospace supplier need it?
chain-sbom, run by tonone's Chain agent, designs a software bill of materials pipeline tied to a specific build hash. Aerospace suppliers need this because AS9100D clause 8.1.1 requires lot-level traceability for parts, and firmware dependencies need the equivalent for a compliance audit.
How does Warden fit into an aerospace release cycle?
Warden runs warden-audit in parallel with Proof's test cycle, covering secrets, IAM, injection risk, and other findings, so the internal security posture is resolved before a DO-326A/ED-202A airworthiness security review opens, rather than surfacing new findings during it.
Is Tonone free to use for aerospace engineering teams?
Yes. Tonone is MIT-licensed and free. You pay only for Claude Code token usage during the work itself. Proof, Chain, Warden, and the rest of the agent team install together.
What is proof-recon and when should an aerospace QA lead run it?
proof-recon inventories the current test suite against the requirements baseline and produces a coverage gap list prioritized by risk tier, with a time estimate to audit-ready. Run it as the first step, weeks before an audit, not the week of.
Why can't ChatGPT or Cursor handle aerospace certification test traceability?
Neither tool holds a persistent requirements baseline or tracks coverage by risk tier across a release cycle. They generate plausible test code on request but cannot answer an auditor's question about which specific requirement a test satisfies or what the current traceable coverage percentage is.

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