From a single problem statement, DevTrack plans your entire sprint — breaking it into Epics, Stories, and Tasks, assigning them based on team workload, and pushing everything to Azure DevOps, GitLab, or GitHub. Then it keeps every ticket in sync as you commit. All of it controllable from your phone.
DevTrack handles the gap between writing code and keeping your team in the loop — automatically.
The entire pipeline runs locally with no cloud in the loop.
fsnotify watches your repo. The moment you commit, the Go daemon fires a trigger with branch, PR, and diff context.
spaCy extracts entities, ticket numbers, and time estimates. The LLM enhances the message in your communication style.
Matched work items get a comment, state transition, and time log. Missing items are created. All synced to Azure, GitLab, or GitHub.
Telegram bot pushes a summary to your phone. Your standup writes itself.
Native integrations with the tools you already use. No middleware, no SaaS, no subscriptions.
I built DevTrack because I was spending too much time on the overhead that surrounds coding — updating tickets, writing standup notes, keeping PM tools in sync. The actual coding was the easy part.
DevTrack is my attempt at a developer-first automation layer: one that runs locally, respects your privacy, and handles the bureaucracy so you can stay in flow.
It also helps by offloading trivial work to low cost / no cost llm while allowing the frontier models to use up the precious tokens.
In fact, this project was planned and developed using Devtrack.
DevTrack should be like a senior engineer who never forgets to update the ticket — who knows what you're working on from your commits, writes the update in your voice, and keeps every stakeholder in the loop without you lifting a finger.
DevTrack is open source and community-driven. Reach out through any of these channels.
No tracking, no spam. Messages go straight to the maintainer.
Set up in 5 minutes. Runs locally. No accounts, no subscriptions, no privacy tradeoffs.