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How a Single Linter Rule Prevented a Data Corruption Bug episode artwork

Jun 22, 2026 10 min

How a Single Linter Rule Prevented a Data Corruption Bug

from The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices Hosted by Fexingo

In this episode, Lucas and Luna dive into a real-world case where a seemingly harmless TypeScript function silently corrupted user data in a fintech application. The bug was never deployed to production because a custom ESLint rule caught it during code review — but only after the team spent three days tracing the root cause. They explore why type narrowing alone isn't enough, how lint rules can encode business invariants, and why one engineer's rule saved the team from a potential multi-million-dollar incident. Along the way, they discuss the trade-offs between strict linting and developer velocity, and how to write rules that catch real bugs without drowning in false positives. #TypeScript #ESLint #Linting #DataCorruption #Fintech #CodeQuality #TypeSafety #StaticAnalysis #BugPrevention #SoftwareEngineering #CodeReview #EngineeringBestPractices #DeveloperProductivity #CustomLintRules #JavaScript #CodingStandards #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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How a Single Linter Rule Prevented a Data Corruption Bug

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This episode is 10 minutes long.

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This episode was published on June 22, 2026.

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