Deeplint is still in the MVP development phase and not yet available for use.

Introduction

DeepLint is an AI-powered linting tool that provides intelligent code analysis by understanding code semantics and context across an entire codebase. Unlike traditional linters that focus on syntax and style, DeepLint analyzes the meaning and relationships in your code to catch issues that would otherwise go undetected.

DeepLint is currently in MVP (Minimum Viable Product) stage, focusing on core functionality for JavaScript and TypeScript projects.

What Makes DeepLint Different

Traditional linters are excellent at catching syntax errors, enforcing style guides, and identifying simple patterns. However, they have significant limitations:

  • They analyze files in isolation, missing cross-file dependencies

  • They can't understand business logic or semantic correctness

  • They lack awareness of organizational policies and best practices

DeepLint addresses these limitations by:

  • Analyzing Code in Context: Understanding relationships between files and components

  • Semantic Understanding: Comprehending what your code does, not just how it's written

  • Policy Enforcement: Applying organizational best practices and custom rules

  • Actionable Feedback: Providing clear explanations and suggested fixes

Key Features

Git Pre-commit Hook Integration

DeepLint integrates directly into your Git workflow, analyzing code changes before they're committed. This catches issues early in the development process, before they make it into your codebase.

Learn more: Git Integration Guide

Cross-File Context Analysis

DeepLint builds a comprehensive context of your codebase, including:

  • Changed files and their content

  • Related files affected by the changes

  • Dependencies and relationships between components

  • Code structure and organization

Learn more: Context Building

Natural Language Policy Definition

Define custom rules in plain English, allowing you to codify organizational best practices and project-specific requirements without complex rule configurations.

Actionable Feedback

When issues are detected, DeepLint provides:

  • Clear explanations of the problem

  • Context showing why it's an issue

  • Suggested fixes that can be applied automatically

Getting Started

To start using DeepLint, follow these steps:

  1. Install DeepLint - Set up DeepLint in your environment

  2. Configure DeepLint - Customize settings for your project

  3. Run your first analysis - Learn how to analyze your code

  4. Set up Git integration - Integrate with your Git workflow

Example Use Case

Scenario: A developer removes a field used by other parts of the application.

Traditional Linter: ✅ No issues detected (syntax is valid)

DeepLint: ⚠️ HIGH RISK: Removing field 'x' from function return value

  • Field is used in 5 other files

  • Recommendation: Maintain the field or update dependencies

For Developers

If you're interested in contributing to DeepLint or understanding its architecture, check out the developer documentation.

Key Developer Resources

  • Architecture Overview - Understand DeepLint's design

  • Command System - Learn about the CLI architecture

  • Context Builder - Explore the context building system

  • Contributing Guide - Start contributing to DeepLint

Next Steps

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