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Source Trace
Source Trace is an analytics tool that tracks AI coding tool output, retention, and return on investment.
Source Trace is an analytics platform for engineering leaders to measure AI coding return on investment. It tracks what AI tools produce, what developers keep, and what gets rewritten or discarded before commit. The software works with major AI coding tools like Copilot, Cursor, and Claude, tracking usage across teams, languages, and repositories. Attribution happens locally on each developer's machine using Git, and code is never uploaded. Features include a team dashboard, model-by-model statistics, scorecards, and an AI Git Blame capability.
Source Trace at a glance
- Best for: Software engineer, Director
- Runs on: Web, VS Code
- Pricing: Personal: free; Team: $5/engineer/month or $50/year
- Released: March 2026
- Category: AI coding tool
- Website: srctrace.com
Key features
- Track AI-generated code and retention rates
- Compare return on investment across agents and models
- Monitor code rework rates by team and repository
- View AI Git Blame attribution for individual lines
- Access company-wide metrics in a shared dashboard
- Measure adoption patterns and bottlenecks
Use it for
- Compare return on investment across different AI coding models
- Measure code rework rates and retention by team
- Track AI adoption patterns and tool usage across repositories
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- DeepSource — Automated code reviews that combine static analysis with AI agents.
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- Opaline — Track team-wide token costs and coding session analytics.
- ccusage — Tracks token usage and costs locally across multiple coding agent CLIs.
- Metabob — Provides proactive debugging and enforces safe implementation patterns for AI tools.
- Cody — Provides complete codebase context for developers and AI agents at scale.
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