AI's dirty little secret: It writes brittle code that creates tech debt

A former Meta engineer, now at another large tech company, shares a candid insider perspective on the hidden costs of AI-generated code. He notes how, despite pressure to use AI tools for nearly all coding, the resulting output is often fragile, creating long-term technical debt.

The post details specific failures, like AI writing shallow, trivial test cases while missing critical edge conditions, leading to brittle systems that can't handle real-world complexity. The author warns this trend is unsustainable for large-scale SaaS products, as AI solves small, immediate problems but remains blind to architectural pitfalls. The takeaway: the industry's rush to AI-assisted coding is quietly trading short-term speed for long-term fragility.