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Agents tracked: 258 Downloads (7d): 219M up 6.1% GitHub stars: 5.5M VS Code installs: 148M Releases (7d): 293 Agent status: 2 with issues Updated Oct 7, 2026
Case study TaskRabbit

How TaskRabbit shortened PR merge time with CodeRabbit reviews

TaskRabbit added AI code review before adopting coding assistants, to fix an existing review bottleneck. As reported by CodeRabbit, merge time dropped.

The problem

Engineers in the US and Poland often waited on each other across time zones for reviews. The decade-old codebase had inconsistent standards, and manual reviews sometimes missed vulnerabilities or optimizations.

How they did it

  1. Chose to tackle code review before rolling out AI coding assistants.
  2. Deployed CodeRabbit across most repositories, including the central Ruby monolith.
  3. Used it as an always-available first reviewer ahead of human review.

Results

  • As reported by CodeRabbit: average merge time fell 'from an average of 10 days to 7 days, representing an improvement of over 25%'.
  • 'Over 300 PRs' go through CodeRabbit each week.

As reported by the source (CodeRabbit case study); AgentGid did not measure these figures.

Takeaway. Fix review throughput first. Otherwise faster code generation just builds a bigger queue.
AgentGid's take

Suits teams with a steady PR flow and reviewers spread across time zones; setup looks light, mainly connecting repositories. The 10-to-7-day drop is CodeRabbit's own figure, and CodeRabbit costs $24/mo per developer billed annually with no free tier beyond open source, so cost scales with headcount. Bito (Free + $12/mo) ranks first in category and is a cheaper option to trial.

The agent used here

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