How to Build a Self-Verification Loop in Claude Code (3 Layers, 20 Minutes)

<p><em>This article was originally published on <a href="https://etherealogic.ai/exit-code-2-how-claude-hooks-turn-agentic-rules-into-runtime-barriers/" rel="noopener

<h1> Your Claude Plugin Marketplace Needs More Than a Git Repo </h1> <p>Anthropic's <a href="https://github.com/anthropics/claude-plugins-official" rel="noopener

<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

<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

<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

<p>Anthropic shipped Opus 4.7 on April 16, 2026. Same $5/$25 pricing as 4.6. Same 1M context. Same 128K output ceiling. Different model entirely when you put it in an agentic

<p><code>git_commit.py</code> in my project is a small script: it reads the staged diff, sends it to <code>claude -p</code> with a system prompt asking for a Conventional Commit

<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