{
  "id": 18685940,
  "title": "Meet LiveReview: Auto Approve 30-50% of Your Low-Risk PRs, Safely",
  "url": "https://urgent.news/2026/11/07/meet-livereview-auto-approve-30-50-of-your-low-risk-prs-safely",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-07T10:04:04.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/rijultp/introducing-livereview-auto-approve-30-50-of-your-low-risk-prs-safely-376g"
  },
  "original_language": "en",
  "account": "LiveReview is a new code review system designed to automatically approve 30-50% of low-risk pull requests while ensuring risky changes receive appropriate attention. The system analyzes code changes using three methods: semantic LLM analysis, custom ML models trained on actual production incidents, and static codebase analysis. LiveReview assigns a risk score to each change, allowing the most critical 30-50% to be approved automatically. For the remaining changes, LiveReview ranks them based on risk, ensuring senior engineers focus on the highest-risk code first. The system also provides checkpoints at various stages, such as commit, push, PR, CI/CD, and scheduled checks, allowing teams to customize which stages they want to enforce. Additionally, LiveReview offers a CI/CD gate feature that allows teams to write custom conditions to block or allow changes based on the review findings. LiveReview is self-hostable and integrates with various git providers, as well as multiple AI providers, making it a flexible solution for any engineering team. By automating the review process and prioritizing risk, LiveReview aims to reduce incidents, rollbacks, and the workload of senior reviewers, ultimately improving overall code quality and reducing the time spent on code reviews.",
  "summary": "Earlier this year, we built a small tool called git-lrc . It fixed one problem: engineers committing AI-written code they had not read. git-lrc put a review in front of every commit, right in the terminal. In February, it reached #3 Product of the Day on Product Hunt, and it now has 1.5k+ GitHub stars. As teams adopted it, a bigger problem showed up one step later, at the pull request. AI made…",
  "key_points": [
    "LiveReview auto-approves 30-50% low-risk PRs",
    "System uses semantic LLM, custom ML, static analysis",
    "Provides checkpoints for custom risk enforcement"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}