I built 10 autonomous AI agents for Claude Code — here's how they work Tags: ai, webdev, productivity, opensource

Most developers use Claude Code at maybe 20% of its potential. They type "fix this bug" and expect magic. When the output is mediocre, they blame the tool. The problem is not the tool. It is the prompt. I spent weeks building production-grade instruction files that turn Claude Code into specialized autonomous agents. Each one combines multiple skills into a structured workflow with real bash commands, specific patterns to check, output formats, and rules to avoid false positives. Here are all 10 agents and what they actually do: PR Review Agent Reviews every changed file in a branch against main. Checks for correctness (off-by-one errors, missing await, null handling), error handling (empty catch blocks, swallowed errors), naming clarity, and unused imports. Runs tsc and eslint on changed files. Outputs a structured report with exact file:line references, corrected code suggestions, and a verdict (approve, request changes, needs discussion). Always includes a "what looks good" section