Automated Code Review

Code review that knows your codebase.

At 200+ engineer orgs, PRs routinely wait 48–72 hours for a first review — and 60% of that load falls on 4–5 senior engineers. Replixa runs an automated style pass against your codebase's own pattern graph before human reviewers arrive, so the diff is already clean when they open it.

Dark code editor interface showing a pull request diff with amber-highlighted inline review annotations from Replixa
Trusted by engineering teams at
Korrova Systems Delphic Labs Traxwell Inc. Canverge Technologies Nullpoint IO
The Problem

Review latency is a capacity problem, not a process problem.

48+

Median hours a PR sits untouched at orgs with 200+ engineers. The queue isn't growing — reviewer bandwidth isn't.

60%

Of review burden concentrates on 4–5 senior engineers per team. Code ownership and reviewer load are correlated — scaling headcount alone doesn't fix it.

3.7x

Higher same-PR fix rate for inline patch suggestions vs. comment threads. A comment creates a ticket; a suggestion closes the loop in the same diff.

How It Works

Review that catches what ESLint doesn't know exists.

Replixa builds a weighted semantic graph from your real commit history, then runs every incoming PR diff against it. The output isn't linting — it's pattern-aware review specific to the codebase your team already built.

Style Graph Analysis

Builds a semantic graph of your naming conventions and abstraction patterns from real commit history — not hypothetical standards.

Inline Suggestions

Posts code-patched suggestions directly in the diff, not comment threads. Reviewers click apply — they don't re-implement feedback.

Noise Filtering

Per-team thresholds so senior reviewers only see signal. Style passes run automated — escalate to humans only when it matters.

Style Graph

Your codebase has patterns no linter knows.

ESLint catches syntax. Your internal abstraction conventions — the way your team names service boundaries, the patterns that evolved across 10,000 commits — those live in your git history, not in a ruleset. Replixa builds a style graph from your actual codebase and uses it to drive review.

Read the explainer
Abstract node graph visualization showing codebase style relationships as interconnected amber and white nodes on dark background
Inline Patches

Reviewers act on patches, not complaints.

Comment-thread review forces engineers to context-switch back to a PR, understand the complaint, re-implement a fix, and wait for re-review. Replixa posts the actual corrected code as a one-click apply suggestion — the reviewer approves intent, automation handles the diff mechanics.

See pricing
Code review diff view with an inline code suggestion patch highlighted, showing before and after code blocks in dark editor UI
Works Where Your Team Works

GitHub, GitLab, Bitbucket. Your CI, your pipeline.

GitHub Native app integration
GitLab MR inline comments
Bitbucket PR suggestion API
GitHub Actions CI workflow trigger
GitLab CI Pipeline integration
Jira Issue linking
Slack Review notifications
Linear Issue tracking
View all integrations
Customer Stories

What the review queue looked like before, and after.

We cut median PR cycle time from 72 hours to under 18 in the first month. The style graph picked up patterns our 3-year-old eslint config never touched.

Engineering Manager
Korrova Systems — 500-person logistics tech company

Our senior engineers stopped being the bottleneck. Replixa handles the style pass so they review intent, not indentation.

Head of Platform
Canverge Technologies — data infrastructure team

Start with one team. No setup fees, no minimums.

Connect a single repository and see your first inline suggestions in under 90 seconds. Free for teams under 10 engineers.