Why AI Agent Outputs Need Adversarial Review (and How to Add It in One API Call)

<h1> How I Built an AI-Powered Code Review Bot That Saves 10 Hours/Week—Here's the Cheapest Way to Deploy It </h1> <p>My team was drowning. Every pull request meant 20-30 minutes

<!-- SC_OFF --><div class="md"><pre><code>Built a system where Claude Code writes the code and Codex CLI reviews it independently — the reviewer never sees the builder's

<p><em>8 dimensions. 38 checks. 5 seconds. 0% industry pass rate.</em></p> <h2> The Problem </h2> <p>DAST exists for web apps. DAST exists for APIs. DAST does not exist for AI

<ul> <li>GitHub repository: <a href="https://github.com/gezilinll/agent-grove" rel="noopener noreferrer">https://github.com/gezilinll/agent-grove</a> </li> <li>Online

<p>Your agent tests pass. Your monitoring says "green."</p> <p>Meanwhile, your agent just hallucinated a refund policy, leaked a customer's SSN, and burned $2,847 in a token

<p>"The Reasoning Trap." The line the authors won't quite say out loud is that the smarter your model gets at reasoning, the more likely it is to fabricate a tool that doesn't

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,