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Understanding code linting and its purpose

Sara Verdi
Sara Verdi
Graphite software engineer
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Code linting is the automated process of analyzing source code to identify programming errors, enforce style consistency, and detect potential code issues that could lead to problems down the line. Linting is typically performed using a linting tool, also called a linter, which checks code against specified rules or style guides to help teams adhere to best practices and maintain high code quality.

The primary purpose of a linter is to make sure code adheres to a standard style and quality level, reducing errors and making the codebase more uniform and readable. Linting tools automate minor formatting checks, allowing teams to focus on logic and design. They can:

  • Detect syntax issues or improper variable handling
  • Enforce coding standards like indentation, spacing, and naming conventions
  • Flag potential logic or runtime problems
  • Reduce time spent on debugging and improve overall code readability

In practice, a linter highlights any code that does not comply with the team's coding standards, providing feedback to prompt necessary corrections. This process is often integrated into development environments or CI/CD pipelines to automatically check code quality with each build.

Linting tools operate by parsing the code and constructing an abstract syntax tree (AST), which represents the code's structure. This AST is then checked against a set of rules to detect inconsistencies or errors. These rules might check for:

  • Syntax and error-prone patterns: Ensuring code adheres to a valid structure and follows recommended practices.
  • Stylistic uniformity: Enforcing conventions like spaces vs. tabs, line length, or naming patterns.
  • Best practices: Encouraging proper error handling, efficient resource usage, and appropriate scoping.

For example, if a developer writes code with unused variables or overly complex functions, the linter will flag these issues based on the predefined rules, allowing the developer to address them quickly.

  1. ESLint – JavaScript/TypeScript linter widely used to enforce coding standards and catch bugs early.

  2. Pylint – Python linter that checks code quality and style according to PEP8 standards.

  3. Flake8 – Another popular Python linter focused on enforcing style conventions, often used for additional error-checking alongside Pylint.

  4. Stylelint – Linter for CSS and similar languages, enforcing style conventions and catching syntax errors.

  5. ShellCheck – Linter for shell scripts, helping detect errors and enforce best practices in Bash and similar shells.

These top linters offer powerful, language-specific error detection and style enforcement to help maintain a high-quality codebase. When paired with other code review tools, linters ensure that every aspect of the code—from syntax to logic—is scrutinized, creating a comprehensive approach to code quality.

Graphite Automations enables teams to set up customizable rules that enhance linting workflows. It allows defining triggers and actions based on the attributes of pull requests (PRs), automating linting-related tasks. Graphite Automations supports:

  • Defining filter triggers based on PR content, such as files modified, directories, or code patterns.
  • Configuring automated actions based on filters, including assigning reviewers, adding labels, or notifying teams through Slack when code doesn't adhere to standards.

This helps teams enforce code quality and style across large codebases without manual intervention, allowing them to focus on innovation and efficiency.

Code linting enforces consistent coding standards, improves code quality, and reduces development time spent on minor corrections or bugs. When combined with automated tools like Graphite Automations, it becomes easier for teams to maintain quality and style across their codebase. Linting is a valuable tool for any development environment that enables teams to focus more on delivering high-quality software.

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