ai-plugin
Integrates PostHog product analytics directly into AI coding assistants, letting engineers understand user behavior and product metrics without context switc…
Official PostHog plugin for Claude Code, Cursor, Gemini, Codex and other AI coding tools
- Correlate code changes with user engagement drops detected in PostHog
- Query feature adoption metrics while implementing A/B test logic
- Diagnose performance issues using session replay data during debugging
Integrates PostHog product analytics directly into AI coding assistants, letting engineers understand user behavior and product metrics without context switching. Reduces blind spots when AI assists with feature development or debugging.
Engineering teams using Claude, Cursor, or Gemini who need real-time product analytics context while writing or reviewing code.
https://github.com/PostHog/ai-plugin
By PostHog
How to Get It
claude plugins install PostHog/ai-plugin
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me correlate code changes with user engagement drops detected in PostHog
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- I wrote a plugin that lets you use Stable Diffusion (AI) as a live renderer — Reddit · 4942 pts
- Free Ai plugin for Background Removal in Resolve — Reddit · 2374 pts
- Wikipedia volunteers spent years cataloging AI tells. Now there’s a plugin to av — Reddit · 1020 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 64 GitHub stars; 10 contributors; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 64 GitHub stars; 10 contributors; last commit 0d ago; license no license.