Last updated: March 3, 2026

Lintrule

Name: Lintrule
Rating: 4 (0 reviews)
Author: TopAITools

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Introduction:

Automate code reviews with LLMs using Lintrule.

Launch Date:

April 21, 2023

Social links:

Monthly Visits:

Inputs:

Outputs:

Supported Languages:

AI Models:

GPT-4

WebsiteFree Trial

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Lintrule Overview

No tool information available

Lintrule Pros and Cons

Pros

Efficient Code Review: Lintrule leverages a large language model to conduct code reviews, enhancing efficiency by identifying issues that traditional linters may miss.
Customizable Rules: Users can write rules in plain language, allowing for tailored code review policies that fit specific project requirements.
Parallel Processing: Lintrule runs checks in parallel, ensuring quick feedback regardless of the number of files or rules, thus saving valuable development time.

Cons

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Lintrule Pricing

Pay-as-you-go

USD 1.00/one-time

$1.00 per 1,000 lines of code changed.

Small Projects

USD 20.00/monthly

Costs about $20 per ruleset per month for projects with ~4 contributors.

Large Projects

USD 150.00/monthly

Costs about $150 per ruleset per month for projects with ~55 contributors.

Really Large Projects

USD 250.00/monthly

Costs about $250 per ruleset per month for projects with ~190 contributors.

For the latest pricing, please visit this link: https://www.lintrule.com/

Prices are subject to change. Please visit the official website for the most up-to-date pricing information.

Lintrule Reviews

lmao this rules

wow this is amazing 🤯

very cool

For more reviews, visit this link: https://www.lintrule.com/#reviews

Lintrule Compare

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Anytourl	Easily upload files and get instant shareable links.	Paid	--	--	Learn more
Talkingpdf Io...	TalkingPDF.io \| Chat with any PDF	Paid	--	--	Learn more
Jackrabbit Ops	Never miss a new customer \| Jackrabbit Ops	Paid	--	--	Learn more

Info current as of post date. Offers and availability may vary by location and are subject to change.

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Lintrule Prompts (0)

Prompts And Results

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Lintrule Q&A

Yes. By default, Lintrule runs only on changes that come from `git diff HEAD^`. If you're in a GitHub Action, Lintrule smartly uses the `GITHUB_SHA` and `GITHUB_REF` environment variables to determine the diff. For PRs, Lintrule uses the `GITHUB_BASE_REF` and `GITHUB_HEAD_REF`.

Yes. Just like a person, the more general the instructions, the more likely it will do something you don't want. To fix false positives, get specific. On the other hand, Lintrule tends to not be *flaky*. If a rule produces a false positive, it tends to produce the same false positive. If you fix it, it tends to stay fixed for the same type of code.

The estimator shows you how much it costs if you run Lintrule on *every commit*. Try running Lintrule only on *pull requests*. Instead of using lots of rules, try fitting more details into one rule. But be warned, the more competing details you have in a rule, the more likely it is that you'll get false positives. Use `include` to silo your rules to certain files. That makes it easier to add more rules without increasing your cost. As LLMs get cheaper to run, we expect the prices to go down significantly.

Not really. Lintrules runs rules in parallel, so regardless of how many rules or files you have, it will complete in a few seconds.