After a wave of bogus AI‑generated reports, a researcher used several AI scanning tools to flag dozens of genuine issues in curl, leading to about 50 merged fixes. The maintainer notes these tools uncovered problems established static analyzers missed, but only when steered by someone with domain expertise.
— This demonstrates a viable human‑in‑the‑loop model where AI augments expert security review instead of replacing it, informing how institutions should adopt AI for software assurance.
Tyler Cowen
2026.01.09
80% relevant
Cowen’s link 'How Dean Ball uses coding agents' connects to the documented practice of humans steering AI tools to find and fix real software bugs; this strengthens the existing point that effective AI in security and engineering will be human‑in‑the‑loop rather than purely autonomous.
EditorDavid
2025.10.12
100% relevant
Daniel Stenberg’s statement that Rogers’ AI‑assisted reports led to ~50 bugfixes and that the tools found issues 'none of the old, established tools detect.'
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