PRarena
Live leaderboard comparing AI coding agents by PR merge success rates.
PR Arena offers a refreshingly objective, data-driven comparison of AI coding agents by focusing on what matters most: successfully merged pull requests. It's a must-bookmark for anyone hiring or building with these tools, though it lacks depth on pricing, integrations, or non-PR capabilities. For a pure comparison of agent output quality, it's unmatched; but don't expect guidance on choosing based on cost or features.
- Engineering managers evaluating AI coding agents for team adoption
- Developers comparing agent effectiveness in real-world PR workflows
- AI tool researchers analyzing coding agent performance trends
- Users looking for a coding agent to use directly (PR Arena is a comparison tool, not an agent)
- Those needing detailed pricing or feature comparisons beyond PR metrics
- Evaluating agents on tasks other than pull request creation (e.g., code review, debugging)
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Skip PR Arena if you need pricing, integrations, or non-PR capabilities (e.g., code review, debugging) in your agent comparison — this tool only tracks pull request merge rates.
PR Arena is free to use, making it accessible to anyone evaluating AI coding agents. It has no paid tiers, so solo developers and enterprise teams get the same data. No cheaper or more expensive peers exist for this specific use case.
In short
PRarena — Live leaderboard comparing AI coding agents by PR merge success rates. Best for Engineering managers evaluating AI coding agents for team adoption, Developers comparing agent effectiveness in real-world PR workflows, AI tool researchers analyzing coding agent performance trends. Free to use.
What's new in PRarena
Checked 11 days agoAcross the latest 1 update: 1 changelog entry.
Viability Score
How likely is PRarena to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Live leaderboard of AI coding agents ranked by PR success rate
- Tracks total PRs, draft PRs, ready PRs, and merged PRs per agent
- Toggleable view modes: Complete, Volume Only, Success Rate Only
- Definitions and explanations of metrics (All PRs, Ready PRs, Merged PRs)
- Regular updates (last updated July 06, 2026)
- Compare agents across different workflow philosophies (draft-first vs. direct PRs)
- Displays agent names and developer/company attribution
- Sortable and filterable table
- Includes draft PR awareness for fair comparison
- Tracks both Ready PR success rate and All PR success rate
About PRarena
PR Arena is a public, regularly updated leaderboard that tracks pull request performance across top AI coding agents including GitHub Copilot, OpenAI Codex, Cursor, Devin, Codegen, and Google Labs Jules. It monitors total PRs created, draft vs. ready PRs, and successful merges to compute a success rate for each agent. The platform aims to provide a transparent, data-driven comparison of agent effectiveness in real-world software engineering workflows. PR Arena is designed for developers, engineering managers, and AI tool evaluators who want to make informed decisions about which coding agent is most productive for their team. It surfaces key metrics like 'Ready PR Success Rate' (merged/ready PRs) and 'All PR Success Rate' (merged/all PRs) to account for different iteration strategies — some agents iterate privately (few drafts), others use draft PRs for public iteration. The tool scrapes public repository data and displays a sortable, filterable table with success rates, volume metrics, and trend indicators. Users can toggle between success-rate-only, volume-only, or complete views. The dataset is updated regularly (last refreshed July 06, 2026). What makes PR Arena unique is its focus on actual output quality (merge rate) rather than benchmark scores or synthetic tests. It highlights how different workflow choices (drafts vs. direct PRs) affect apparent success rates, and provides definitions to help users interpret the numbers fairly.
Behind the Verdict
PR Arena fills a real gap in the AI coding agent landscape: a neutral, metric-driven comparison hub. Most tool selection today relies on vendor claims or synthetic benchmarks, but PR Arena looks at what actually gets merged into real repos. This is a genuinely useful signal. Its strengths are transparency and workflow fairness. By separating 'Ready PR Success Rate' from 'All PR Success Rate,' it accounts for agents that draft publicly (like Copilot) vs. those that iterate in private (like Codex). The toggleable views let you focus on volume or success rate depending on your priority. Weaknesses: it's a single-data-point tool. There's no pricing, integration, or non-PR capability info. No API or export means you can't easily feed this data into your own analytics. And because it only tracks public GitHub PRs, private repos and other platforms are invisible. Where it fits: engineering managers doing due diligence before selecting an agent; developers curious about how their tool stacks up; researchers tracking the field. Where it doesn't: buyers needing cost or feature comparisons, or anyone looking for an agent themselves (PR Arena is a research tool, not an agent). Overall, PR Arena is a valuable piece of the puzzle, but not the whole picture. Pair it with hands-on trials and vendor documentation for a complete evaluation.
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Real-world workflow fit
Concrete scenarios for the personas PRarena actually fits — and what changes day-one when you adopt it.
You're considering adopting a coding agent for your team and want to choose between Copilot and Codex based on real-world data. You visit PR Arena, sort by 'Ready PR Success Rate,' and see Copilot at 96.1% vs. Codex at 88.2%. You toggle to 'Volume Only' to see Copilot's 1.5M ready PRs vs. Codex's 5.3M, then filter by the last month's data (if available) to verify consistency.
Outcome: You gain a data-backed, unbiased comparison that helps you pitch a specific agent to your team lead with concrete success-rate stats.
You're curious about the top-performing agent for your personal projects. You open PR Arena, see Cursor Agents with a 100.2% success rate (more merges than ready PRs), and explore the definitions to understand that this can happen when PRs are merged without being marked ready. You switch to 'All PRs' view to see the full picture.
Outcome: You identify Cursor as a strong candidate for your workflow, with an understanding of how its draft usage affects the numbers.
Use Cases
- Compare merge success rates of GitHub Copilot vs. OpenAI Codex before selecting an agent for your team
- Identify which agent produces the fewest draft-to-ready PRs to gauge iteration efficiency
- Track performance trends across agents over time to see which one improves fastest
- Present data-backed recommendations to leadership on adopting a coding agent
- Validate internal agent selection by checking real-world merge rates against your own observations
Models Under the Hood
as of 2026-07-06
Limitations
- PR Arena only tracks PR metrics and does not provide information on agent pricing, integration support, or non-PR capabilities like debugging or refactoring.
- The dataset is limited to publicly visible PRs on platforms they scrape (likely GitHub), so private repository activity is invisible.
- No API or export feature is available.
as of 2026-07-06
Where the pricing makes sense
The company stage and team size where PRarena's pricing actually pencils out — and where peers do it cheaper.
PR Arena is free to use, making it accessible to anyone evaluating AI coding agents. It has no paid tiers, so solo developers and enterprise teams get the same data. No cheaper or more expensive peers exist for this specific use case.
Setup time & first value
How long it actually takes to get something useful out of PRarena — broken out by persona, not the marketing-page minute.
For any user, PR Arena requires zero setup: just open the website. You get immediate access to the live leaderboard, filters, and definitions. No account or configuration needed.
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