#1 in the 2026 AI Code Review Benchmark · 47.2% F1

Ellie helps your team

catch real bugs before they ship.

Every other reviewer flags what looks suspicious. Ellie flags what survives being disproved, then connects it back to your incidents, your team, and your actual AI spend.

Incident Management Canvas
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Why this exists

AI code ships fast.

The—gaps—come with it.

Quality Gap

More code is shipping. Less of it is verified.

AI is in 92% of PRs. Logic errors and security issues keep reaching production.

2.74×more security vulns
1.7×more logic errors
Repeat Incidents

You wrote the post-mortem. The bug shipped again.

The post-mortem was written. It never informed the next review. Same incident, new sprint.

28%AI comments are noise
91%longer review times
Flying blind on AI spend

You spent $1,200 on AI tools. What did it return?

You know what your AI tools cost. You don’t know what they returned.

80%can’t measure AI ROI
20%use metrics to track impact
For Engineers

Code review that catches what humans miss.

Most AI review tools flag suspicious items. Ellie runs an adversarial loop, generates findings, and tries to disprove them.

A real finding — shown in full
PR #2841 — payments/processor.ts
Ellie V3 · Adversarial Verified
The Code
244
async function processPayment(id) {
245
const conn = await pool.acquire();
246
const result = await conn.query(sql);
247
return result;
248
}
Connection acquired but never released on exception paths.
The Adversarial Loop
try/finally wrapping? None found
withConnection() context manager? Not used
Call-site cleanup guarantee? None
3 similar patterns in codebase confirmed
INC-441, INC-512, INC-601 match this pattern
Finding survived 4 iterations. Real bug. Surfacing.
The Result
Verified · Fix attached
Evidence Chain
Root: connection pool exhaustion under concurrent load.
Matched: 3 production incidents (INC-441, 512, 601) in 90 days.
Fix: wrap in withConnection() for guaranteed cleanup.
Apply fix in one click
2verified findings in this PR
5hypotheses killed before reaching you
8 minaverage setup time

Also included: IDE extension (VS Code, Cursor, Windsurf) · Deep Wiki auto-docs · Cross-repo impact analysis

Adversarial verification

Every other tool reviews your code once. Ellie argues with herself until she's sure.

Most AI reviewers stop at the first finding, leading to 28% noise. V3 eliminates false positives by disproving findings before you see them, ensuring only valid evidence remains.

Read the V3 announcement →
01.

Generate hypothesis

Suspicious pattern found: db.query() without guaranteed connection cleanup at line 247.

02.

Seek disproofs

try/finally? None. Context manager? None. Caller cleanup? None.

03.

Cross-repo check

Which downstream services call payments-service? Any already patched? Checking 3 repos…

OUTCOME

Finding survives

Evidence exhausted. No disproofs found. Bug is real. Surfaced with full evidence chain + fix.

OUTCOME

Finding dies

Null deref disproved: validated 2 frames up. Killed. Never shown to you.

Incident Intelligence

You wrote the post-mortem. Ellie read it.

Most review tools read the diff. Ellie reads the diff and all your team's post-mortems, turning past failures into prevention.

01. Post-mortems train the loop:
Race conditions and auth bypasses become patterns Ellie hunts.
02. Root cause traced to PR:
Production alerts link back to the exact code and reviewer log automatically.
03. Committable fixes:
Recurring failures surface with one-click applicable fixes.

One platform to keep your
code and engineering team improving.

AI Code Review

V3 verification catches AI errors. Low false positive rate. Fix every finding.

Incident Intelligence

Post-mortems improve future reviews. The same bug won’t ship again.

Ellie AI

Your AI teammate in GitHub, VS Code, and Slack. Ask anything about your team or code.

Code Review in CLI

Your Code Reviewer, in the Terminal. Catch issues and improve code before you push.

Documentation

Auto-generated architecture docs updated on PR merges. Ellie uses them for reviews.

Security Dashboard

GitHub, GitLab, Jira, and others enhance Ellie’s intelligence.

For Engineering Leaders

Full visibility into what AI is actually returning.

Every AI-assisted PR is a bet. Entelligence shows you which bets are safe, which will come back as incidents, and exactly what your tools returned this month.

AI Spend · ROI

Entelligence breaks down exactly which tools are working, who's using them, and where the gaps are - so every budget conversation has a real answer.

Your AI tools cost $0 this month.
They returned $0.

Explore AI analytics →

This Sprint

0x
return on AI spend
↑ from 0x last month
AI acceptance rate0.0%
Time saved / dev / week0.0h ↑
Sprint savings$0
Industry code qualityTop 8%

Which tool is earning its keep?

Claude$820/mo · 0 AI lines
0% acceptance · best ROI on the team
Cursor$406/mo · 0 AI lines
0% acceptance · onboarding gap flagged
ELLIE

Claude costs 2x more but delivers 32% higher acceptance — still strong ROI. Cursor's gap is an onboarding problem. 5 engineers not using AI tools represent $1.2k/sprint unrealized.

AI vs Human code this sprint

0k AI
0k

92% of merged code is AI-generated. Every PR is quality-scored against the same rubric as human code - not just counted.

0
suggestions accepted
0%
avg code acceptance
0.0%
cost per PR vs pre-AI
$0
cost per merged PR

One platform to keep track of
AI Impact and engineering impact

Ellie AI (Your Assistant)

Ask Ellie about your codebase, team patterns, or past incidents. She answers in Slack, GitHub, and VS Code.

AI Impact

Track what AI-generated code actually costs and returns. See adoption, error rates, and ROI per tool.

Incident Summary

Auto-generated incident summaries that feed back into future reviews. Every post-mortem sharpens the next catch.

Engineer Impact

AI ROI, performance, work breakdown, sprint health — all your board’s data needs.

Sprint Retros

Evaluates sprint execution with DORA metrics to show progress and surprises.

AI Savings

See exactly where AI tools save time and where they don’t. Measure savings across your entire toolchain.

2026 AI Code Review Benchmark

Tested on real bugs. Real
repos.

8 tools, 67 bugs. Repos: Cal.com, Sentry, Discourse, Keycloak, Grafana. F1 penalizes missed bugs and false alarms.

Read the full benchmark report →
Integrations

Connect once.
Everything gets smarter.

Why teams switch

The honest comparison.
No marketing speak.

For Engineers

Better signal. Less noise. Improved Code Quality.

vs. CodeRabbit: Single-digit FPR vs 28% noise.

vs. Copilot PR: 47.2% vs 22.6% F1 score.

vs. Graphite: Not Cursor-dependent.

For Eng Managers

You want answers, not more dashboards.

vs. Jellyfish: Plain English answers vs charts you interpret.

vs. LinearB: Quality + incidents + AI ROI vs cycle time only.

vs. all: Sprint assessments written automatically.

vs

Cursor BugBot vs Entelligence

Cursor catches bugs. Entelligence spots patterns across your whole team.

View comparison
vs

CodeRabbit vs Entelligence

CodeRabbit catches surface issues. Entelligence spots patterns that repeat across your codebase.

View comparison
vs

Greptile vs Entelligence

Greptile finds bugs fast. Entelligence finds which ones break prod and why.

View comparison
Security and Trust

Built for teams that can’t afford to get this wrong.

Code Privacy

Your code is never stored, logged, or shared.

Processed in memory only. When the review completes, it’s gone. SOC 2

Model Training

Your code never trains our models.

Not now. Not ever. This isn’t a setting, it’s the only mode we operate in. Zero retention.

Dedicated Support

A real team, not a ticketing queue.

Direct Slack access. Enterprise gets a dedicated CSM and priority SLAs.

Setup

Value in the first sprint.

Connect in 10 minutes. No professional services. No onboarding marathon.

For engineers and their managers

Not surveillance. Designed to help, not report on people.

Individual performance data is visible to engineers themselves. Transparency goes both ways. No keylogging—only code outputs.

Engineers see the exact same dashboard their manager sees.
Managers get plain-language signals on who to check in with.
No keylogging. Data derives entirely from git outputs.
Real teams. Real numbers.

Not estimates. Not demos.
Actual production results.

“Tightened our review loop overnight. Surfaces mistakes we’d normally catch only after deploy: race conditions, unclosed resources, validation misses.”
187 PRszero critical issues
Soumyarkya MondalCTO, Sybill
“191 PRs merged in 2 months. Zero production defects. Catches subtle AI-generated bugs that look correct in isolation but break under load.”
191 PRszero defects
Engineering TeamDigibee
“Shipped 3x faster while improving code quality. Sprint assessments replaced the first 20 minutes of every retro.”
3xshipping velocity
Soham GanatraCEO, Composio

We raised $5M to run your Engineering team on Autopilot

We raised $5M to run your Engineering team on Autopilot

Watch our launch video

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The same class of bug
won't ship twice.

Ellie catches what AI generates wrong, learns from every incident, and gives your leaders a clear picture of what AI spend is actually returning.

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Start free →

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Turn engineering signals into leadership decisions

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