Buildermark
Claim this toolMeasure and track the percentage of AI-generated code in your projects.
Free plan available, paid tiers aboveVisit WebsiteFreemiumVisit Website
Tracked since2026
The Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Quantifies AI-generated code by matching agent diffs with Git commits.
- Runs locally and is open source, ensuring data privacy and security.
- Tracks agent performance and provides attribution for AI-written code.
Pros
- Ensures data privacy by running entirely locally
- Open-source and inspectable code
- Robust diff matching system handles formatting changes
- Supports multiple popular AI coding agents
- Provides valuable insights into AI agent effectiveness
Cons
- Team server for aggregation is not yet available
- Requires manual setup for importing from VMs and containers
What is Buildermark?
Buildermark is a local-first, open-source tool designed to help developers and teams quantify the impact of AI coding agents on their codebase. It works by matching diffs from your coding agent conversations with your Git commit history to determine how much of your code is written by AI agents. This allows you to track the percentage of agent-written code over time and compare the performance of different agents across various projects.
The tool is built for privacy and data security, running entirely on your local machine without requiring cloud accounts or sending your data to external servers. It supports a range of popular coding agents like Claude Code, Codex, and Gemini, and offers features like conversation ratings and native notifications for immediate agent attribution. For teams, a self-hosted Team Server is planned to aggregate AI code metrics across an entire organization.
Available on: macOS, Windows, Linux, Web, Chrome
Key Features
- AI coding agent measurement and tracking
- Conversation ratings for coding agents
- Agent performance comparison
- Automatic import of chat history from coding agents
- Automatic import of Git commit history
- Formatting-agnostic diff matching system
- Local-first operation with no cloud or accounts
- Native desktop applications (macOS, Windows, Linux)
Pricing
Freemium
Buildermark offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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Buildermark FAQ
How does Buildermark ensure the privacy of my code and data?
Buildermark operates as a local-first application, meaning it runs entirely on your machine. This design ensures that your code and data are not sent to external servers or cloud accounts, maintaining privacy and security.
Which AI coding agents can Buildermark track?
Buildermark supports tracking for a range of popular AI coding agents, including Claude Code, Codex, and Gemini. It allows users to compare the performance of these different agents across various projects.
What kind of user or team benefits most from Buildermark?
Buildermark is ideal for developers and teams who want to quantify and track the impact of AI coding agents on their codebase. It provides valuable insights into AI agent effectiveness and helps monitor the percentage of AI-generated code over time.
How does Buildermark compare to BootLoop AI in tracking AI-generated code?
Buildermark distinguishes itself by running entirely locally, ensuring data privacy without requiring cloud accounts. It also offers a robust diff matching system that can handle formatting changes, providing accurate attribution of AI-written code.
What are the current limitations of Buildermark for team-wide adoption?
Currently, the team server for aggregating AI code metrics across an entire organization is not yet available. Additionally, importing data from virtual machines and containers requires manual setup.
Does Buildermark include a free tier?
Yes, Buildermark is available on a free tier. Paid plans are offered for users who require more usage and additional features.
How does Buildermark attribute code to specific AI agents?
Buildermark attributes code by matching diffs from your coding agent conversations with your Git commit history. This process allows it to determine how much of your code was written by AI agents and provides native notifications for immediate attribution.
Source: buildermark.dev