AI coding is an earthquake for software security. Not a tremor. The kind that liquefies the ground beneath your feet. We're mid-shake and most people are still debating if it's real. 🔗 github.blog/news-insight...
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Here's the scale we're dealing with: roughly 2.8 trillion lines of code written in the last 20 years. A huge chunk of that? Just the last two. The acceleration is the story. 🔗 medium.com/modern-stack...
Software Heritage archived over 22 billion unique source files by end of 2024. That's just public code they could find. The real number is unknowable, and growing faster than anyone can track. 🔗 annex.softwareheritage.org/public/annua...
Forget counting lines. Watch the flow. GitHub saw 518M pull requests merged in 2025, up 29% from the year before. That's not growth, that's a flood. 🔗 github.blog/news-insight...
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AI isn't coming; it's already in the pipes. Over 1.1M public repos now depend on an LLM SDK. Almost 700K of those appeared in the last 12 months alone. +178% YoY. 🔗 github.blog/news-insight...
Here's where it gets uncomfortable. Devs now say ~42% of their code is AI-generated. Projected to hit 65% by 2027. The codebase is becoming porous. 🔗 www.sonarsource.com/company/pres...
Same survey: 96% of devs don't fully trust AI output. But only 48% say they always verify before committing. That gap is where bugs live. That gap is where security dies. 🔗 www.sonarsource.com/company/pres...
And verification doesn't scale for free. 38% say reviewing AI code takes *more* effort than human code. Werner Vogels calls this verification debt. It compounds silently until something breaks. 🔗 buildwithaws.substack.com/p/werner-vog...