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.
AI Code Quality Platform
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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Built for
Maintain high standards and velocity as your team adopts AI coding tools.
Protect the integrity of the codebase and automate the enforcement of architectural decisions.
Leverage AI for speed without sacrificing long-term code quality and maintainability.
Speed without guardrails leads to drift. These are the patterns we see across teams shipping with AI every day.
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.
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.
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.
From repository connection to actionable PR feedback in three straightforward steps.
Securely connect Lintdrift to your GitHub, GitLab, or Bitbucket account in minutes. No complex configuration required.
Lintdrift automatically scans incoming pull requests, using its context-aware engine to compare new, AI-assisted contributions against the established patterns in your codebase.
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.
Automated review and drift analytics built into the workflows your team already uses.
Automated Pull Request Analysis
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.


Drift Analytics Dashboard
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.
A complete toolkit for teams shipping AI-assisted code at scale.
Integrates directly into your workflow as an automated reviewer that flags architectural drift and inconsistent patterns.
Track drift scores, common anti-patterns, and diverging areas of your application over time.
Builds a model of your codebase's unique DNA—learning abstractions, data access patterns, and service structures.
Define what drift means for your team with custom rules for architecture, naming, and stack usage.
Native GitHub, GitLab, and Bitbucket support. Get started in under 5 minutes on your next pull request.
Spreadsheets and ad-hoc checklists can't keep pace with AI-assisted development. Lintdrift can.
Simple pricing
Plans start at $0/month for individuals and open-source projects. Team plans from $24/user/month.
'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.
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.
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.
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.
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.
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.
Connect your repositories and start catching architectural drift on your next pull request. Set up in minutes.
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