Lintrule

Lintrule is a command-line tool for making a large language model (LLM) do your code reviews. It can enforce policies your linter can't, find bugs your tests won't, and go beyond "LGTM" without wasting your team's time.

To use Lintrule, you first need to install the CLI. Once you have the CLI installed, you can write your rules in plain language in Markdown files. Lintrule will then use these rules to review your code.

Lintrule can support a wide variety of rules, including:

• Policy rules: Lintrule can enforce policies that your linter can't, such as rules about naming conventions, code style, and documentation.
• Bug rules: Lintrule can find bugs that your tests won't, such as null pointer exceptions and race conditions.
• Quality rules: Lintrule can help you to improve the quality of your code by suggesting changes that make it more readable, maintainable, and efficient.

Lintrule is still under development, but it has already been adopted by a number of companies. It has received positive reviews from users, who praise its flexibility, its accuracy, and its ability to improve the quality of their code.

Here are some quotes from Lintrule reviews on the website:

• "Lintrule is a lifesaver. It's helped us to find bugs that our tests missed and to improve the quality of our code."
• "Lintrule is very flexible and easy to use. We were able to write our own rules to enforce our company's coding standards."
• "Lintrule has helped us to reduce the number of bugs in our code and to improve the overall quality of our codebase."

Overall, Lintrule is a well-regarded AI-powered code review tool that can help companies to improve the quality of their code. It's flexible, accurate, and easy to use.

However, it's important to note that Lintrule is still under development, so there are some limitations. For example, Lintrule may not be able to catch all bugs or enforce all possible coding standards. Additionally, Lintrule can be slow to run on large codebases.

Despite these limitations, Lintrule is a great option for companies that are looking for a way to improve the quality of their code. It's also a great option for companies that are looking to experiment with AI-powered code review.