AI Writes Your Tests. Here's What It Systematically Misses.

<p>An AI coding agent implements a feature, generates tests, runs them, and opens a pull request with a green build.</p> <p>That looks like independent verification. It often is

<h3> Intro </h3> <p>There's a pitch behind every "AI writes your tests too" workflow: more coverage, less manual toil, a safety net that used to take a sprint now takes

<h2> The Asymmetry of Change: Why Your Tests Are Looking the Wrong Way </h2> <p>A passing build is often treated as a certificate of correctness. In reality, it's a narrow

<p>A Python developer with "AI Solutions Architect" in their GitHub bio pushes 8,500 lines of eBPF Rust in a single commit. The commit author is "Blackwall AI." The

<p>Last month I asked a senior candidate the same question I ask everyone. "Tell me about a flaky test you fixed and how you fixed it."</p> <p>She paused and said, "I just added a

<h2> No jailbreak. No exploit. No alert fired. Just a conversation. </h2> <p>In September 2025, a Chinese state-sponsored threat group ran a cyberattack against 30 organizations

<p>In Part 2 of this series, we looked at boundary mutations — the category with the highest detection rate (63.8%). The numbers were reassuring, with a catch: 36.2% of boundary

<p>The more I use AI tools like Claude Code, the clearer it becomes: engineering skills are what make AI output worth shipping.</p> <p>AI makes writing code faster. But shipping