“Cursor BugBot Lowest false positives in Signal65 test Best initial candidate when review precision is the priority.”
“Lowest false-positive count in this test.”
“95.95% reported precision.”
“A particularly interesting option if your priority is keeping PR discussions clean.”
“Found fewer true bugs than CodeRabbit or Qodo.”
“CodeRabbit Best measured balance Strong combination of finding coverage and low false-positive counts.”
“95.88% precision.”
“93 true positives.”
“Only four false positives.”
“Found the most critical bugs in this particular evaluation (25).”
“This is an attractive balance if you want meaningful coverage without overwhelming developers.”
“Greptile Worth testing for repositories where cross-file and architectural context matter.”
“Greptile: potentially useful for deeper codebase reasoning”
“Worth evaluating when understanding the broader codebase is important.”
“86.36% precision.”
“38 true positives in this evaluation.”
“Qodo Worth testing when finding as many bugs as possible is more important than minimizing review noise.”
“Found 129 true positives, the highest count.”
“Generated 30 false positives.”
“Precision was 81.13%.”
“This illustrates a recall-oriented trade-off: more bugs detected, but more findings that developers need to verify.”
“GitHub Copilot code review Worth considering for teams prioritizing native GitHub integration and ease of adoption.”
“Its integration into an existing GitHub workflow may still make it attractive, but I would test its noise levels carefully before enabling automatic PR comments across an organization.”
“41 false positives.”
“64.35% precision.”
“GitHub Copilot: convenient integration, but more noise in this test”