The next bottleneck after AI writes your code is reviewing the docs it writes

<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>I read the phrase "spec-driven development" and immediately decided it was for people without taste. Six months later, Claude Code generated a discount system that applied

<h2> Your Code Reviews Are a Bottleneck </h2> <p>Every engineering team has the same problem: PRs sit in review queues for hours (or days). Senior engineers spend 30% of their

<h2> What is AI code review? </h2> <p><strong>AI code review is the automated analysis of code changes using artificial intelligence to find bugs, security vulnerabilities,

<p><em>Originally published at <a href="https://www.tddbuddy.com/blog/reviewing-ai-with-ai-is-not-review/" rel="noopener noreferrer">tddbuddy.com</a>.</em></p> <p><em>Related

<p>Your agent passed all the tests. It's been running in production for three weeks. And it has been quietly wrong the entire time.</p> <p>This is not a hypothetical. Galileo's

<p>Every time I wanted to build a multi-agent workflow—like having one AI write code and another review it—I hit a wall.</p> <p>Existing frameworks are powerful, but they all

<p><em>AI coding agents write code confidently, but they don't know why your code looks the way it does. DLD is an open source framework that links code directly to the decisions