I shipped my first agentic workflow on GitHub Actions — 4 AI reviewers on every PR
A developer has implemented an agentic workflow using GitHub Actions that incorporates four AI reviewers for every pull request. This system aims to enhance code review quality by providing multiple perspectives on each submission. The workflow is designed to trigger on specific pull request events and runs various review jobs in parallel, ultimately streamlining the review process.
- ▪The developer runs a solo agritech app and previously reviewed their own code.
- ▪The GitHub Actions workflow includes four AI reviewers and a test runner for each pull request.
- ▪The workflow triggers on specific events such as opening, synchronizing, or reopening pull requests targeting the main or develop branches.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1238066) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } pponali Posted on May 18 I shipped my first agentic workflow on GitHub Actions — 4 AI reviewers on every PR #githubactions #ai #devops #automation I run Khetisahayak — a small agritech app — solo. Every PR I open has nobody to review it but me, and I review my own code about as well as anyone reviews their own code. So I built a GitHub Actions workflow that drops four AI reviewers and a test runner onto every PR.
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