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Pheebs

Pheebs is an open-source telemetry tool by Eversynced, designed to analyze developer interactions with AI coding agents. It provides insights into model usage and costs without storing sensitive data.

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Pheebs, developed by Eversynced, is an open-source telemetry tool that helps developers understand their interactions with AI coding agents like Claude Code, Cursor, and Codex. It captures lightweight interaction signals, focusing on the shape of the session rather than its contents. Pheebs provides valuable insights into how models are used and what they cost, without storing any code, file paths, or prompt texts.

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The tool works by integrating hooks and OpenTelemetry into AI coding agents, capturing 17 types of events from session start to artifact discovery. It offers four deployment routes: self-hosted or managed by Eversynced. Pheebs is designed to be non-intrusive, never intercepting prompts or switching models on behalf of users.

Pheebs provides detailed observations on model spend, AI-written code verification, and team interaction patterns. It highlights areas where AI output is not verified and where rework is needed due to AI-induced errors. The tool also tracks the adoption of skills and practices within teams, offering insights into verification coverage, pushback rates, and model-fit rates.

Developers can choose between self-hosting Pheebs, where they control their data, or using Eversynced's managed service, which includes reporting and dashboards. The managed service offers a 30-day telemetry sprint, culminating in an executive debrief and a plan to address identified gaps.

  • CategoryAI DevOps & Cloud Tools
  • Pricing ModelOpen source
  • DeploymentSelf-hosted, Managed
  • PlatformsWeb

  • Open-source telemetry tool

  • Integrates with Claude Code, Cursor, Codex

  • Captures 17 event types

  • No code or prompt text stored

  • Self-hosted or managed deployment

  • Provides insights on model usage and costs

  • Tracks verification and pushback rates

  • Offers executive debrief and gap analysis

  1. Integrate: Add hooks and OpenTelemetry to coding agents

  2. Capture: Record interaction signals during coding sessions

  3. Analyze: Review insights on model usage and costs

  4. Optimize: Adjust practices based on telemetry data

  • Model Usage Analysis
  • Cost Management
  • Interaction Pattern Tracking
  • Verification Coverage Assessment
  • Team Skill Adoption

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