Three bugs that aren't in dial9
The article discusses three bugs encountered while developing dial9, a tool for analyzing Rust applications. It highlights the challenges of using AI in coding, particularly in identifying and fixing bugs. The author emphasizes the importance of human oversight and thorough testing in software development.
- ▪Dial9 uses a fast but cryptographically insecure algorithm called FxHash, which led to a bug due to a missed optimization.
- ▪Early versions of dial9 had issues with event flushing across multiple threads, which caused data to be split across files.
- ▪The author found that relying solely on AI for debugging can be risky, as it may not always identify simple problems.
Opening excerpt (first ~120 words) tap to expand
Home » Posts » 3 bugs that aren't in dial9 3 bugs that aren't in dial9 2026-05-30 · 6 min · Table of Contents FxHash Concurrency, part 1 Concurrency, part 2 Defense in depth dial9 is a microscope for Tokio (and Rust applications in general): its compact binary format can record a log of runtime events so you can reconstruct what actually happened to understand bugs and performance behavior. It runs in production, where bugs have real blast radius. As much as we attempt to avoid it, dial9 still has bugs. We catch most in CI, some in PR review, and some are discovered by customers. We use AI to help build dial9, bug this presents a challenge: today's models are jagged: strong in one domain, weak in another.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Github.
