Tag: AI-generated code

Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default

Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default

Discover how AI-generated code increases secret leakage risks and learn to prevent leaks by default using advanced secrets scanning tools like Netlify, GitGuardian, and TruffleHog.

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AI-Generated Code Test Coverage: Realistic Targets for 2026

AI-Generated Code Test Coverage: Realistic Targets for 2026

Stop relying on the 80% rule. Learn why AI-generated code requires risk-adjusted test coverage targets and how to use mutation testing to prevent costly production bugs.

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Recent Post

  • Keyboard and Screen Reader Support in AI-Generated UI Components

    Keyboard and Screen Reader Support in AI-Generated UI Components

    Mar, 13 2026

  • Model Parallelism and Pipeline Parallelism in Large Generative AI Training

    Model Parallelism and Pipeline Parallelism in Large Generative AI Training

    Feb, 3 2026

  • Data Strategy for Generative AI: Build Quality, Control Access, and Secure Your Inputs

    Data Strategy for Generative AI: Build Quality, Control Access, and Secure Your Inputs

    Mar, 23 2026

  • Legal AI Safety: How to Avoid Hallucinations After Mata v. Avianca

    Legal AI Safety: How to Avoid Hallucinations After Mata v. Avianca

    Apr, 9 2026

  • Generative AI ROI Case Studies: What Early Adopters Got Right (and Wrong)

    Generative AI ROI Case Studies: What Early Adopters Got Right (and Wrong)

    May, 9 2026

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