Lintdrift

AI Code Quality Platform

Keep Your AI-Generated Code on Track

Lintdrift automatically analyzes pull requests to ensure AI-written code adheres to your existing architectural patterns and best practices. Maintain codebase quality and consistency without slowing down development.

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app.lintdrift.com
The main dashboard of the Lintdrift application, showing a list of code repositories and their drift scores.

Built for

Team Leads & Engineering Managers

Maintain high standards and velocity as your team adopts AI coding tools.

Senior Developers & Architects

Protect the integrity of the codebase and automate the enforcement of architectural decisions.

Fast-Moving Startups

Leverage AI for speed without sacrificing long-term code quality and maintainability.

The hidden cost of AI-assisted development

Speed without guardrails leads to drift. These are the patterns we see across teams shipping with AI every day.

Silent Accumulation of Tech Debt

AI code generators are great for speed, but they often lack the context of your application's architecture, introducing subtle inconsistencies that compound into significant maintenance burdens.

Inconsistent Patterns Erode Quality

When every new feature introduces a slightly different way of doing things, your codebase becomes fragmented and difficult for developers—both new and old—to navigate and contribute to effectively.

Manual Review Can't Keep Up

Relying solely on human code review to catch architectural drift is slow, error-prone, and takes senior engineers away from high-impact work. This bottleneck slows down your entire team.

How it works

From repository connection to actionable PR feedback in three straightforward steps.

01

Connect Your Repository

Securely connect Lintdrift to your GitHub, GitLab, or Bitbucket account in minutes. No complex configuration required.

02

Analyze Pull Requests

Lintdrift automatically scans incoming pull requests, using its context-aware engine to compare new, AI-assisted contributions against the established patterns in your codebase.

03

Get Actionable Feedback

Receive clear, concise feedback directly as comments in your pull requests. Catch drift before it's merged and guide developers to write code that fits.

See Lintdrift in action

Automated review and drift analytics built into the workflows your team already uses.

Automated Pull Request Analysis

Catch drift before it merges

Lintdrift integrates directly into your existing workflow, acting as an automated reviewer that flags potential architectural drift, inconsistent patterns, and deviations from your team's conventions.

An example of Lintdrift providing automated feedback on a pull request to correct code inconsistency.
The Lintdrift analytics dashboard showing charts and graphs on codebase health and drift patterns.

Drift Analytics Dashboard

Measure codebase health over time

Visualize your codebase's health over time. Track your overall drift score, identify the most common anti-patterns being introduced, and see which parts of your application are diverging the most.

Everything you need to prevent drift

A complete toolkit for teams shipping AI-assisted code at scale.

Automated Pull Request Analysis

Integrates directly into your workflow as an automated reviewer that flags architectural drift and inconsistent patterns.

Drift Analytics Dashboard

Track drift scores, common anti-patterns, and diverging areas of your application over time.

Context-Aware Engine

Builds a model of your codebase's unique DNA—learning abstractions, data access patterns, and service structures.

Custom Rule Engine

Define what drift means for your team with custom rules for architecture, naming, and stack usage.

Seamless Git Integration

Native GitHub, GitLab, and Bitbucket support. Get started in under 5 minutes on your next pull request.

Lintdrift vs. manual review

Spreadsheets and ad-hoc checklists can't keep pace with AI-assisted development. Lintdrift can.

Capability
Lintdrift
Manual process
Automated PR analysis on every merge request
Context-aware pattern matching against your codebase
Drift score tracking over time
Feedback delivered inside pull requests
Custom architectural rules per team
Scales with AI-assisted development velocity
Spreadsheet tracking of code conventions
Relies on senior engineer availability for every PR

Simple pricing

Start free, scale with your team

Plans start at $0/month for individuals and open-source projects. Team plans from $24/user/month.

Frequently asked questions

What is 'product drift' in code?

'Product drift' refers to the gradual deviation of new code from the established architectural patterns, conventions, and domain logic of an existing codebase. It often happens when developers, or AI code assistants, write functional code that doesn't align with the project's 'right way' of doing things, leading to increased complexity and technical debt.

How do I get started with Lintdrift?

Simply sign up using your GitHub, GitLab, or Bitbucket account. You'll be prompted to authorize Lintdrift to access your repositories. From there, you can select which repositories you want to monitor, and we'll start analyzing new pull requests automatically.

Is my source code secure?

Yes. Lintdrift uses repository access tokens to analyze code on-the-fly during a pull request check. We do not store your source code on our servers. We only store analysis metadata and results to power your dashboard and track drift over time.

How does your pricing work?

We offer a free tier for public repositories and small private projects. Our paid 'Team' plan is billed per active user per month and offers unlimited private repositories and advanced features. For larger organizations, we offer a custom Enterprise plan with features like self-hosting and dedicated support.

Can I cancel my subscription at any time?

Yes, you can cancel your subscription at any time from your account settings. If you cancel, you will retain access to paid features until the end of your current billing period.

What languages and frameworks do you support?

Lintdrift is designed to be language-agnostic by focusing on structural patterns rather than specific syntax. It works best with modern object-oriented and component-based languages like TypeScript/JavaScript, Python, Go, C#, and Java.

Keep your codebase on track

Connect your repositories and start catching architectural drift on your next pull request. Set up in minutes.

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