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Lintrule
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Code Generation & Assistants (171)

Lintrule Verified Tool

Lintrule is a command-line code-review tool that asks language models to apply repository-specific rules to Git diffs. Teams define focused rules, estimate cost, run review on pull requests, and treat findings as suggestions that require developer validation.

Last Update: August 20, 2026

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Starting price $1 per 1,000 changed lines

Tool Information

Lintrule is a command-line code-review tool that asks language models to apply repository-specific rules to Git diffs. Teams define focused rules, estimate cost, run review on pull requests, and treat findings as suggestions that require developer validation.

Users start with a limited test, provide only authorized and necessary information, configure permissions and output settings, compare results with the original source or a trusted benchmark, correct errors, and keep a responsible person in control before publishing or automating work.

Pricing is usage based at $1 per 1,000 lines of code changed for each ruleset. Repository size, number of rulesets, and review frequency determine the total cost.

AI output can be inaccurate, biased, incomplete, stale, or misleading and the service may process confidential or personal data. Protect credentials, review retention and model-training terms, respect copyright and consent, monitor costs and permissions, and add specialist review for regulated or consequential uses.

F.A.Q (3)

Lintrule is a command-line code-review tool that asks language models to apply repository-specific rules to Git diffs. Teams define focused rules, estimate cost, run review on pull requests, and treat findings as suggestions that require developer validation.

Users start with a limited test, provide only authorized and necessary information, configure permissions and output settings, compare results with the original source or a trusted benchmark, correct errors, and keep a responsible person in control before publishing or automating work.

Verified pricing: $1 per 1,000 changed lines. Pricing is usage based at $1 per 1,000 lines of code changed for each ruleset. Repository size, number of rulesets, and review frequency determine the total cost.

Pros and Cons

Pros

  • Lintrule uses large language models to review code changes
  • Rules are written in plain-language Markdown files
  • Teams can enforce policies that conventional linters cannot express
  • A rule can detect accidental logging of customer data
  • Checks run on Git diffs by default
  • Limiting review to changed code reduces cost and noise
  • GitHub Actions context is detected for pull-request diffs
  • Include patterns restrict a rule to relevant file types
  • Multiple files are checked in parallel
  • The tool can review code in many programming languages
  • Source code for the command-line client is public on GitHub
  • macOS; Linux; and Windows Subsystem for Linux are supported
  • A billing estimator previews expected cost
  • Pricing is tied to changed lines of code
  • The free start does not require a payment card
  • Consistent rules can encode organization-specific review knowledge

Cons

  • Lintrule acknowledges that it produces false positives
  • Broad plain-language rules are more likely to behave unexpectedly
  • LLM review can miss bugs that tests or static analysis would catch
  • Results can change when models or prompts change
  • Reviewing only diffs can miss problems caused by unchanged surrounding code
  • Each additional ruleset increases cost
  • Large teams can accumulate substantial recurring review charges
  • Running only on pull requests reduces cost but delays feedback
  • Competing instructions inside one rule can reduce reliability
  • Source code may contain secrets or proprietary logic requiring contractual review
  • An LLM can be manipulated by prompt-like content in comments or files
  • Passing Lintrule does not establish SOC 2 or other compliance
  • Command-line installation through a remote shell script requires supply-chain caution
  • The service needs network access and authentication
  • Developers still need human review for architecture and product intent
  • Rule quality requires continuous tuning and measurement against real defects

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Overview

Pricing
Free

Applicable Tasks

code review large language models linting bug identification policy enforcement compliance

Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

Disclaimer · How we review tools

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