Lintrule

What is Lintrule?

Lintrule is a command-line tool designed for conducting code reviews using large language models. It goes beyond traditional linters by enforcing policies that they can't handle and identifying bugs that may be overlooked by automated tests. Users can write and configure rules in plain language to improve code quality and efficiency. The tool is compatible with MacOS, Linux, and WSL environments and can be integrated with platforms like GitHub for streamlined code review processes.

To reduce costs while using Lintrule, it is suggested to run it only on pull requests instead of every commit. Users can also optimize by consolidating details into one rule, being mindful of potential false positives with more complex rules. Additionally, rules can be tailored to specific files to manage costs effectively.

Who created Lintrule?

Lintrule was created by a company based in San Francisco, California, and it was launched in 2023. The tool is a command-line interface that uses large language models for code reviews, policy enforcement, and bug identification. It allows users to write rules in plain language, enhancing code review efficiency and quality.

What is Lintrule used for?

• Enforcing policies that traditional linters can't handle
• Identifying bugs that may be missed by automated tests
• Improving code quality through rule configuration
• Customizing code reviews with plain language rules
• Enabling code review efficiency and context awareness
• Integrating with platforms like GitHub
• Reducing false positives through rule specificity
• Applying rules to specific files for tailored enforcement
• Streamlining code reviews by running checks in parallel
• Enhancing code quality assurance by detecting bugs missed by other tools
• Identifying bugs that automated tests may overlook
• Improving code quality by leveraging large language models
• Writing and configuring rules in plain language
• Applying rules to specific files
• Enhancing code review efficiency
• Detecting bugs that other linters might miss
• Running checks in parallel to maintain constant review completion time
• Streamlining and automating code review processes with GitHub integration
• Customizing checks and rules in codebase
• Enforcing policies unmanageable by traditional linters
• Issuing comprehensive code reviews by detecting bugs missed by automated tests
• Improving code quality through the use of large language models
• Enhancing code review efficiency by allowing rule configuration in plain language
• Identifying bugs that may be overlooked by other linters
• Streamlining code review processes by conducting automated reviews
• Customizing checks and rules based on project needs
• Allowing rules to be applied to specific files for targeted review
• Running checks in parallel to ensure constant review completion time
• Integrating with popular platforms like GitHub for streamlined code review processes
• Conducting code reviews using large language models
• Applying rules to improve code quality and efficiency
• Running checks in parallel for efficient review completion
• Compatible with MacOS, Linux, and WSL environments
• Integration with platforms like GitHub for streamlined code review processes
• Enforcing policies by interpreting and enforcing rules with large language models
• Customizing checks and rules in a highly specific manner
• Enforces policies that traditional linters can't handle
• Identifies bugs overlooked by automated tests
• Allows users to write and configure rules in plain language
• Improves code quality and efficiency
• Integrates with platforms like GitHub
• Customizable checks and rules
• Runs checks in parallel
• Helps with code quality assurance
• Enforces policies using large language models
• Automated code review using large language models
• Enforcing policies traditional linters can't handle
• Identifying bugs overlooked by automated tests
• Improving code quality and efficiency
• Running checks in parallel for consistent review completion time
• Compatibility with MacOS, Linux, and WSL environments
• Customizing rules for specific files
• Identifying bugs missed by other linters

Who is Lintrule for?

• Software developers
• Programmers
• Quality Assurance Engineers
• Code Reviewers
• Computer Programmers
• Quality Assurance Analysts
• Software engineers
• Quality assurance professionals

How to use Lintrule?

To use Lintrule for code reviews, follow these steps:

1. Install Lintrule by running a script from the Lintrule website via the command line on MacOS, Linux, or WSL.
2. Set up a .rules folder in your codebase using the rules init command.
3. Log in to Lintrule with rules login, which will create a .rules/no-bugs.md file with your first rule.
4. Configure rules by writing them in plain language and adding them to your codebase.
5. Run code checks by using rules check, which by default operates on changes since the last commit, but you can specify different diffs.
6. Customize rules to run only on specific files by adding file paths to the frontmatter during rule configuration.
7. Utilize the Lintrule dashboard to manage and configure project-specific rules efficiently.
8. Address potential false positives by writing specific rules and refining them to decrease occurrences.
9. Consider cost factors as Lintrule services are priced at $1 per 1,000 lines of code changed, with variations based on usage and project scope.

Lintrule offers features like policy enforcement, bug identification, customization of rules, integration with platforms like GitHub, and parallel checks for efficient code review processes.