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1,990 this month · 171 companies

Training our own AI models

Update5 months agoUnverifiedAdded Sep 24, 2026

PostHog has announced plans to train models on internal data to improve proactive features like session replay analysis and synthetic user testing.

Topics: LLMs, Observability

PostHog's release notes

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Betaunverified

PostHog Code and the self-driving product

PostHog Desktop, formerly PostHog Code, is now in beta. It is a desktop application that runs coding agents on top of product data to automate bug fixes, UX issues, and conversion tweaks.

GAunverified

What if your product built itself?

PostHog has released a pipeline that ingests product signals, uses research agents to identify actionable problems, and automatically opens GitHub pull requests.

Also shipped on May 27, 2026

PostHog in May 2026
Deprecationunverified

Deprecation Notice

The Gemini 2.5 Flash family of models is deprecating in October. Start testing newer models now to ensure a smooth migration. For more details on Gemini model deprecations, see Google's Gemini deprecations page . For the full list of supported models and pricing tiers, see the Voice Agent LLM Models documentation .

GAunverified

Frustration Analytics , Debugger on User Profile Timeline

What: The User Profile Timeline now surfaces frustration signals directly alongside behavioral events – error events with distinct styling, key properties inline, error-focused filtering, and quick links to Session Replay. This gives you a chronological view of exactly what a specific user experienced.

Updateunverified

GitHub CLI 2.93.0

Security A security vulnerability has been identified, and fixed, that would incorrectly include authorization header in API requests to TUF repository mirrors via gh attestation , gh release verify , and gh release verify-asset commands. Users are advised to update gh to version v2.93.0 as soon as possible.