Built an AI PR review workflow that generates actual fix PRs instead of just comments

Been vibe coding a lot recently and kept running into the same problem with GitHub PRs. Reviewing large PRs manually is too much hassle and while most AI review tools can detect issues, but still we end up manually fixing everything themselves. Large multi file PRs made it even worse: \-context breakdowns \-slower reviews \-missed issues \-rising costs So we started experimenting with automatic fix generation instead of only review comments. Ended up building a workflow that: * reviews PRs for bugs and errors * gives good quality prompts that we can just copy paste to our ai agents to fix or * generates actual fix PRs automatically * creates issue planning prompts for Cursor/Claude/Copilot/etc. A few interesting results so far: * **\~6x cheaper** than CodeRabbit on larger PRs * handled large multi file diffs surprisingly well and better than coderabbit( coderabbit was only able to detect 7 out 10 bugs, we **detected 10/10 accurately**) * issue planning was wayyyy better than we expected * watching it process a 10k+ LOC PR felt honestly insane 😭 Still experimenting and improving the workflow, especially around large repo context handling. Would genuinely love feedback from people building similar agent/code-review workflows. (link in comments because subreddit rules)