Know if your AI coding spend is paying off
Backlight is open. Connect your tools, sign up, and see what your AI coding spend returns — in cost, in output, and in code that holds up.
You see cost per AI engineer with a per-vendor breakdown, license utilization, idle seats, and how spend tracks against output over time. Then you decide what to keep paying for.
- Is the spend working. Cost per AI engineer by vendor, license utilization, idle-seat detection, and an AI spend-versus-output trend.
- AI versus human, honestly. A free heuristic classifier reads commit metadata to separate AI-assisted work from human-only work. Team adds optional LLM classification for higher precision.
- Delivery and code health. DORA-style delivery metrics including lead time, change failure rate, and time to restore. A code health score, regression rate, and output per engineer. Five dashboards: Overview, Productivity, Code Health, Financial Operations, and Organization.
- Your stack, connected. GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Linear, and Slack. Connect your AI coding tools — Copilot, Claude Code, ChatGPT, and Cursor — to see usage and spend. 2FA and GDPR data export for everyone; SSO/SAML and an audit log on Enterprise.
- Free. Analytics for small teams: 90-day history, up to 10 active engineers, every integration, full AI ROI, and the free heuristic classifier.
- Team. Adds LLM AI and bug classification, 365-day history, API access, CSV exports, and configurable alerts.
- Enterprise. SSO/SAML, audit log, advanced retention, and unlimited history. Talk to sales.
Self-serve sign-up is open today. See plans and pricing for the full breakdown.