Promptster

Promptster is an AI-enablement analytics platform for engineering organizations, built to show managers which AI coding workflows actually move the needle on delivery rather than just tracking how much a team uses Claude Code, Cursor, Codex, or GitHub Copilot. It captures prompts, plans, tool calls, terminal commands, and test runs from those environments, then correlates that activity with DORA metrics like deployment frequency and change failure rate pulled from GitHub, Jira, and Datadog. The product classifies how engineers work into patterns such as plan-then-execute, spec-driven, looped, or ad hoc, measures token efficiency per merged pull request, and automatically mines repeated prompts into reusable team skills. It also flags credential exposure when secrets are pasted into prompts. Individual metrics stay private to each engineer, with managers seeing only team-level aggregates rather than a leaderboard. Promptster is built for engineering managers, platform leads, and VPs of Engineering who oversee AI-assisted teams. Pricing isn't published on the site; prospective customers are directed to book a walkthrough. One honest limitation: it explicitly does not capture source code or screen activity, so its picture of what worked is inferred from prompts and metadata rather than the code itself.