Automate Code Review.

Automate repetitive code review tasks so you can ship quality code 10x faster. Scale tribal knowledge, keep codebase standards alive, and make AI coding agents write quality code.

Manage rules

Manage rules

Rules define what standards your team follows. They combine determinism with LLMs for 100% accurate feedback.

Create or update rules

Create or update rules

Iterate on rules in 5 seconds by asking AI to make an edit.

Automatic learning from your team

Automatic learning from your team

Automatically capture patterns and standards from your team's code changes and feedback, and turn them into rules.

Why us

wispbit

strong squid

Only reviews what your team looks for, with 100% accuracy

Rules are added and kept up to date automatically based on team feedback and code changes

Runs anywhere you write code - Pull requests, CLI, AI coding agents

Automates real human repetitive work

Other tools

weak alternative

Reviews using generic systems that don't understand your standards

Adding and keeping rules up to date is time consuming and very inaccurate

Only runs during code review and requires constant changes for feedback

Generic and slop reviews that waste time and money

How it helps

Stop AI slop

Put up guardrails against bad code, AI-generated or not. Have someone that always keeps you and your team accountable.

Ship quality code 10x faster

Maintainable and readable code helps you ship faster, with or without AI.

>80% resolution rate

Rules are ran using a mix of determinism + LLMs. We tune and pick up patterns that matter.

Save 100 hours/year per engineer

Save $10,000+ a year by automating repetitive engineering work. Spend more time doing the fun and important stuff, and less time repeating yourself.

Scale tribal knowledge

Ramp up engineers faster. Spend your time on meaningful mentorship.

10x your AI investment

AI works best in consistent codebases with the right context.

Prevent downtime

Be the last engineer to step on that legacy booby trap. Make sure no one else steps on it.

Refactor and improve standards

Introduce new standards and improve existing ones. Rescue existing codebases from slop or bad practices.

Enterprise-level security and compliance.

SOC 2 Type II pending audit. Zero data retention. Zero AI training. All data is encrypted.