What is Bilanc?
Understanding your engineering team's productivity is complex, especially now with AI coding assistants becoming part of the workflow. How do you accurately measure output, identify bottlenecks, and quantify the real impact of tools like GitHub Copilot or Cursor? Bilanc provides the clarity you need, using AI to analyze your development data and deliver actionable insights for engineering excellence. We help you move beyond simple activity counts to truly understand and improve how your team builds software.
Key Features
📊 Quantify AI's Productivity Impact: Integrate directly with GitHub Copilot and Cursor Business. See adoption rates across teams, measure the productivity boost percentage for individual engineers, and identify which AI models excel at specific tasks. Understand the tangible return on your AI tool investments.
⚙️ Deep Dive into Engineering Processes: Access pre-built, context-rich reports featuring established metrics like DORA alongside new AI-powered insights. Bilanc uses Large Language Models (LLMs) to estimate the effort behind each merged Pull Request, giving you a nuanced view of productivity, benchmarked against industry standards.
📍 Track Engineering Resource Allocation Automatically: Gain a clear, automated breakdown of how developer time is spent across different work types (e.g., features, bugs, tech debt). Our AI categorizes tasks based on your codebase and project management data, eliminating the need for manual tracking or complex setup.
🔗 Centralize Your Developer Tool Data: Connect Bilanc seamlessly with your existing tools. We currently support GitHub, GitLab, JIRA, Linear, and Cursor, with a Datadog integration in development. Need something else? We prioritize building requested integrations quickly.
📄 Receive Scheduled AI Team Summaries: Configure automated reports for individuals or teams, delivered on your schedule. These summaries are perfect for preparing for 1:1s, team syncs, leadership updates, or weekly briefings, ensuring discussions are always grounded in data.
</> Utilize the Bilanc Metrics API: For teams needing custom solutions, our FastAPI-based API allows you to retrieve comprehensive engineering metrics (Development, PR, Issue, AI Companion data) for integration into your own dashboards or applications.
Use Cases
Justify Your AI Tooling Investment: Your team started using GitHub Copilot, but leadership wants to see the ROI. With Bilanc, you connect your Copilot Business account and instantly see adoption rates per team and the average productivity uplift percentage. You can present clear data showing, for example, a 15% average productivity boost for engineers actively using Copilot, justifying the subscription cost.
Optimize Your Development Cycle: During a team retrospective, you notice frustration around review times. Using Bilanc's process metrics, you analyze your team's DORA metrics and PR data. You identify that PRs involving specific legacy components consistently have longer cycle times. This insight allows you to focus refactoring efforts or allocate more review resources strategically, directly addressing the bottleneck.
Improve Resource Planning and Allocation: You suspect your team is spending too much time on unplanned work versus new feature development. Bilanc's AI-powered task categorization automatically analyzes PRs and linked issues, revealing that 40% of recent effort went towards bug fixes and minor tweaks. This data provides a foundation for discussions about balancing workloads, prioritizing tech debt, or adjusting sprint planning.
Make Data-Driven Engineering Decisions
Bilanc moves your engineering management from intuition to informed action. By leveraging AI to analyze your existing development workflows, you gain an objective, detailed understanding of team productivity, process efficiency, and the real impact of new tools. See how your team really works, identify opportunities for improvement, and confidently lead your engineers toward greater effectiveness.

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