What we Built
Burnout is one of those problems every developer silently deals with but rarely measures. We push through long coding sessions, skip breaks, and normalize late-night work until productivity drops or motivation fades. We wanted to build something that makes burnout visible, measurable, and actionable.
That idea became Burnout Detector for Coders a local-first developer productivity system designed to track coding sessions, analyze focus patterns, detect burnout risk, and suggest healthier work habits. Instead of being another time-tracking app, this tool focuses on behavioral signals that indicate mental fatigue: long uninterrupted sessions, insufficient breaks, late-night coding streaks, and excessive daily hours.
The project is built as a three-layer system:
- A CLI tool that developers actually use while coding
- A backend API that aggregates and analyzes session data
- A frontend dashboard that visualizes productivity and burnout risk clearly
The CLI is the heart of the system. It tracks when a coding session starts and stops, records break intervals, and computes meaningful analytics locally. The backend exposes clean REST APIs for aggregated insights, while the frontend presents those insights in a professional, dark-mode SaaS dashboard with subtle animations and clear visual hierarchy.
To us, this project represents a shift from “working harder” to working intentionally using data to protect focus and mental health without disrupting the developer workflow.
Demo
The project includes:
- A fully functional CLI with commands such as start, stop, break, stats, and suggest
- A REST backend that computes daily and weekly analytics
- A responsive frontend dashboard with animated charts and burnout indicators
🔗 Project Repository:
🎥 Demo Video:
The demo walkthrough shows:
- Starting and stopping coding sessions from the CLI
- Automatic tracking of breaks and session duration
- Burnout score calculation based on real behavioral patterns
- A frontend dashboard displaying weekly productivity trends, focus durations, and risk indicators
Our Experience with GitHub Copilot CLI
GitHub Copilot CLI played a critical role in how this project was built not by writing everything for me, but by accelerating the boring parts so we could focus on design and logic.
We primarily used Copilot CLI to:
- Scaffold the CLI command structure cleanly and consistently
- Generate boilerplate for Express routes and validation layers
- Refactor analytics logic into readable, modular functions
- Improve CLI UX with colored output, summaries, and edge-case handling
- Speed up repetitive frontend component patterns while keeping full design control
One of the biggest advantages was how Copilot CLI helped me iterate faster. We could prototype a session-tracking flow, test it, then ask Copilot to refactor or optimize without breaking the mental flow of development. It felt less like autocomplete and more like having a second engineer handling routine tasks.
Importantly, We was intentional about how I used Copilot. All architectural decisions, burnout scoring logic, UX choices, and visual design direction were made manually. Copilot handled execution assistance not product thinking. That balance ensured the final result feels hand-crafted and production-ready, not auto-generated.
Using Copilot CLI didn’t replace our development process it enhanced it, allowing me to ship a more complete, polished system within a limited timeframe.
Closing Thoughts
Burnout Detector for Coders is a practical experiment in building developer tools that respect human limits. It’s fast, local-first, and designed to fit naturally into a developer’s workflow rather than interrupt it.
This project also reflects how GitHub Copilot CLI can be used responsibly not to shortcut learning, but to remove friction and help developers focus on solving real problems.
Thanks to GitHub and the Copilot team for organizing this challenge. Building this project was both technically rewarding and personally meaningful.