See where coding agents struggle, what tools eat tokens and how it all links to GitHub PRs & issues.
I open-sourced a tool that streams data from all your dev machines, VMs & sandboxes into S3. You can run your own analysis from there or use the bundled TUI.
Why I built this: I run a team of ~10 AGI-pilled engineers and struggle to keep track of how the work we do aligns to the milestones/projects we look in planning.
synty helps me identify areas of work that are getting a lot of agent/human attention but they are not accounted for in planning and we use this data to justify re-factoring/documentation efforts to remove friction for agents
I open-sourced a tool that streams data from all your dev machines, VMs & sandboxes into S3. You can run your own analysis from there or use the bundled TUI.
Why I built this: I run a team of ~10 AGI-pilled engineers and struggle to keep track of how the work we do aligns to the milestones/projects we look in planning.
synty helps me identify areas of work that are getting a lot of agent/human attention but they are not accounted for in planning and we use this data to justify re-factoring/documentation efforts to remove friction for agents