Greptile vs Entelligence
What to Look for in a PR Review Tool Today
We benchmarked both tools on 67 real production pull requests across 5 major open-source repositories using F1 score, precision, and review speed.
What Makes Teams Look Beyond Greptile
Greptile brought a focused approach to AI code review, and it resonated with a lot of teams. But what teams need from a code review tool today has grown well beyond a single use case. The way teams write, review, and ship code has changed, and the tools they rely on should reflect that. Here is an honest look at how Greptile and Entelligence compare and why more teams are making the switch.
Review noise.
Greptile’s strength is exhaustive analysis, but that can also produce a lot of output. Teams with busy PR queues sometimes find signal getting lost in volume.
Single-repo focus.
Greptile works best in a single repository setup. Multi-repo environments or monorepos often need cross-repo consistency and dependency tracking that goes beyond what it offers today.
No engineering visibility.
Once the PR is merged, Greptile’s job is done. There’s no view into team velocity, code health trends, or how the org is performing over time.
No AI ROI tracking.
Most engineering teams are now paying for Cursor, Copilot, or Claude. Greptile doesn’t help you understand whether that spend is working.
On PR Review Quality
We benchmarked Entelligence and Greptile head-to-head across real-world pull requests using F1 score, the standard measure balancing precision and recall.
F1 Score by repository
Head-to-head aggregate metrics
Both tools found a similar number of golden comments. The difference is in precision — specifically how much of what each tool flags is actually worth acting on. At 50.0% precision, Entelligence cuts through more noise, which matters when engineers are reviewing high volumes of PRs and need to trust what they read.
See how both tools review the same bug
Select a real PR from our benchmark (67 PRs across 5 repos)
Beyond the PR
Where Entelligence goes further is in engineering visibility, something Greptile isn’t designed for.
Team and velocity metrics.
Output per engineer and team, review turnaround times, and performance trends all in one dashboard.
Code churn and risk.
See which repos and files are accumulating risk before they become incidents. Codebase-wide health, not just the current diff.
AI ROI tracking.
LOC multiplier, cost efficiency, acceptance rates, and dollar-value savings hard numbers for when leadership asks what the AI budget is returning.
Ask Ellie, AI in Slack.
An AI agent inside Slack that gives engineering leaders instant answers about team health, velocity, and blockers.
Which Tool Fits Your Team
| Feature | Greptile | Entelligence |
|---|---|---|
| Deep PR Review | ||
| Precision Comments | ||
| Multi-repo Support | ||
| Learns from Incidents | ||
| Team Velocity Tracking | ||
| AI ROI Measurement | ||
| Engineering Leadership Dashboard |
The Bottom Line
Greptile is strong for single-repo PR review depth. Entelligence adds the engineering visibility layer team health, AI ROI, and risk that leaders need on top of code review.
This comparison is published by the Entelligence team using data from an independent open-source benchmark. If anything here is inaccurate, let us know and we’ll update it.
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