Pheebs launches privacy-first AI telemetry

Pheebs targets the missing measurement layer in AI-assisted engineering: understanding whether teams are building better habits, not merely generating more code.

• –Hook-based instrumentation captures session shape, tool usage, context compaction, and verification signals.
• –Self-hosting and local JSONL storage make the privacy model credible for engineering organizations.
• –Metrics such as verification coverage and wholesale-accept rate could turn vague AI productivity claims into coaching priorities.
• –Support currently covers only Claude Code, Cursor, and Codex, limiting cross-team coverage.
• –The product’s value depends on leaders interpreting behavioral metrics constructively rather than turning telemetry into employee surveillance.