PostHog's Andy Vandervell argues that AI agents are not killing user interfaces but adding a new layer, citing that every product now has both human and agent users. He advises builders to design dual…
PostHog has published 226 skills to its internal skill store and maintains 187 SKILL.md files across 28 products, using them to improve both PostHog and individual workflows. The company emphasizes pr…
PostHog launched Replay Vision, an AI layer for session recordings that detects user struggles and automatically drafts fixes as pull requests, with two internal cases solved in a week. The tool ident…
PostHog has accelerated its shipping cadence from 1,441 PRs in January to 4,725 PRs in June, with only a 10% increase in engineering headcount, driven by widespread use of AI agents and internal tooli…
PostHog introduces the concept of a context warehouse, a unified tool that ingests, models, stores, and queries product and business data for AI agents, eliminating the need for separate ETL pipelines…
By 2030, AI agents will be the primary users of software, according to PostHog, which is building '2030-shaped software' with an agent-first approach. The company argues that human work will shift to …
PostHog engineers share four workflow changes to stop being a code review bottleneck when using AI-generated code, including having multiple agents review each other's code and triaging results to esc…
PostHog's Replay Vision AI layer automatically reads session replays, detects user struggles, and opens pull requests to fix bugs. In one case, the system identified a rage-clicking issue, diagnosed t…
PostHog, Langfuse, and seven other AI observability tools are compared for developers building LLM-powered applications. These tools provide tracing, cost tracking, evaluations, and prompt management …
PostHog built an AI onboarding wizard that uses context engineering to complete two hours of integration work in eight minutes, achieving a 5x increase in conversion and 2x increase in activation. The…
PostHog engineer rewrote the company's SQL parser using AI agents, achieving a 70x speedup with 16K lines of hand-rolled parser code. The new parser replaces an ANTLR-generated parser and is equivalen…
PostHog introduces 'scouts' as small autonomous agents that monitor product data and emit signals for action, forming a core part of its self-driving pipeline now in open beta. Scouts use markdown-bas…
PostHog is launching a new AI-powered pipeline that automatically detects product issues, researches them, and opens pull requests with fixes, aiming to replace manual dashboard monitoring with autono…
Peter Steinberger and Boris Cherny, creators of OpenClaw and Claude Code respectively, advocate for building self-prompting loops instead of prompting agents directly, enabling agents to complete long…
PostHog and Langfuse lead the cheapest AI observability tools for developers, offering free tiers with up to 100,000 LLM events per month. PostHog integrates AI observability with product analytics an…
PostHog introduces 'build mode,' enabling non-engineers to ship code via its Slack app, AI, and MCP tools, with users creating over 500,000 insights and 400,000 AI conversations in 30 days. The platfo…
A marketer who built a custom operating system for a Pimoroni Presto device using AI coding tools discovered he could not fully understand or debug the software he created until he integrated analytic…
AI observability is a new category of monitoring that tracks prompts, responses, costs, latency, errors, and output quality for AI features, filling a gap left by traditional APM tools built for deter…
PostHog has released a guide for small teams and solo founders on setting up minimum viable AI observability after shipping their first AI feature. The guide recommends starting with just three compon…
An AI agent deployed by PostHog during a Lisbon team offsite identified a three-year-old bug in the company's ClickHouse query engine that prevented timestamp filters from using the primary key correc…