Open-Source Tool Tracks AI Coding Agents' Work and Links to GitHub
A new open-source tool called synty helps teams monitor AI coding agents' work and link it to GitHub projects. It streams data from development environments into central storage (e.g., S3) for analysis. This tool is designed to help teams align their work with planning milestones.
A developer has open-sourced a tool called synty that tracks the work of AI coding agents and links it to GitHub pull requests and issues. The tool streams data from all your development machines, virtual machines, and sandboxes into an S3 storage bucket. You can then run your own analysis from there or use the bundled text-based user interface (TUI).
This tool is particularly useful for teams using AI coding agents (the team that built it has about 10 engineers), as it helps them see where these agents are struggling, what tools consume tokens, and how their work aligns with project milestones. For example, it can identify areas of work that are getting a lot of attention but are not accounted for in planning, helping teams justify re-factoring or documentation efforts.
If you're part of a team using AI coding agents and want to try synty, you can find the source code and instructions on GitHub under the Apache 2.0 license. Go to the synty GitHub repository and follow the setup guide to start tracking your team's AI-assisted coding work.