OpenAI Releases GPT-5-Codex for Agentic Coding
Today's curated insights on AI product management from X/Twitter across 60+ expert sources and YouTube channels.
OpenAI Releases GPT-5-Codex for Agentic Coding
From X
AI Product Launches & Updates
GPT-5-Codex release: OpenAI @OpenAI released GPT-5-Codex, a version of GPT-5 further optimized for agentic coding, now available in the Codex CLI, IDE Extension, web, mobile, and GitHub code reviews.
Claude Sonnet 4 in Xcode: Claude @claudeai announced general availability in Xcode 26 for connecting Claude accounts to power coding intelligence features, including documentation generation, code explanation, previews, and playgrounds.
TimesFM 2.5 on Hugging Face: Google Research @GoogleResearch released TimesFM 2.5 on Hugging Face (soon in BigQuery and Model Garden), improving accuracy and context length, and topping the GiFT-Eval leaderboard on zero-shot metrics.
AI Tools & Applications
Natural language incident querying agent: LangChainAI @LangChainAI highlighted how Jouella Fabe and her team at PagerDuty built an AI agent that lets teams query incident data in natural language with memory, context, and safety checks.
Subagents overview: Phil Schmid @_philschmid explained how subagents—specialized AI agents orchestrated for specific tasks—power solutions like Claude Code and Poke, and why they could shape the future of AI workflows.
Perplexity’s rapid growth: Arav Srinivas @AravSrinivas announced that Perplexity is the fastest growing GenAI app on both the Android Play Store and Apple App Store.
Product Management Insights & Strategies
AEO conversions: Lenny Rachitsky @lennysan shared his key takeaways on winning at Answer Engine Optimization (AEO), noting that LLM-driven traffic converts 6Ă— better than Google search traffic.
Must-know PM websites: George from prodmgmt.world @nurijanian curated essential resources for PMs, including ncase.me/loopy for systems thinking, toughtongueai.com for high-stakes prep, and prodmgmt.world for strategic planning.
AI-powered PLG loops: Pawel Huryn @PawelHuryn explained how AI redefines Product-Led Growth, outlining seven compounding distribution loops—from Viral Output to Hybrid Trust—that drive sustainable adoption.
AI Industry Developments & News
Anthropic Economic Index launch: AnthropicAI @AnthropicAI unveiled the first comprehensive analysis of AI usage across every US state and country served, complete with an interactive site to explore detailed data.
Monsoon prediction with AI: Jeff Dean @JeffDean highlighted UChicago’s use of NeuralGcM—an AI-based weather model open-sourced by Google Research—to improve monsoon forecasting for 38 million farmers in India.
AI Dev 25 NYC speakers announced: DeepLearningAI @DeepLearningAI announced the first speakers and partners for AI Dev 25 NYC on November 14, hosted by Andrew Ng, and revealed partners powering the second edition of their AI Developer Conference.
From YouTube
What Vibe Coders Wish They Knew Sooner
Greg Isenberg • September 15, 2025
Greg Isenberg and Cody Schneider share a step-by-step playbook for acquiring customers through YouTube creator affiliate marketing, detailing how to find underpriced creators, pitch a three-video package with a 30% commission, and scale via retainers.
Key Takeaways:
- One founder bootstrapped his company Everbee from zero to $6 million ARR in 18 months solely by executing this YouTube creator affiliate strategy.
- Use the subject line “paid collaboration” to cold email creators, request pricing for a three-video package over six–eight weeks, offer a 30% affiliate commission, and send up to 10 follow-ups.
- Scrape emails for ~100 SMB-focused YouTube creators (via YouTube’s “View email,” Fiverr, or RapidAPI), identify the ~10 who underprice themselves, then put the top performers on monthly retainers and track revenue with affiliate links (e.g., via Rewardful).
How I built an Apple Watch workout app using Cursor and Xcode (with zero mobile-app experience)
How I AI Podcast • September 15, 2025
Terry Lin demonstrates how he used Cursor, Xcode and GPT-4 to build Cooper’s Corner, a speech-driven iPhone and Apple Watch workout app that automatically logs exercises and displays analytics, and walks through his AI-powered process from index-card prototyping to PRD rules, git-backed code execution and refactoring strategies.
Key Takeaways:
- Cooper’s Corner lets users log workouts on either device via voice—e.g. “dumbbell shrugs, 35 lb dumbbells, 10 reps”—with GPT-4 converting speech into structured exercise entries synced through Sign in with Apple and presented with history and consistency analytics.
- Terry’s AI workflow in Cursor centers on prd_create to generate Gherkin-style specs, prd_review to score plans out of 10 and surface gaps, and execute to generate code in phases with pre/post git commits and safety checklists, while dual-wielding Cursor for coding and Xcode for building.
- To optimize for LLM context and maintain clean code, he enforces 200–400 line file size limits, uses automated refactoring rules to split large files, applies a “rubber duck” rule for code explanation, and commits incrementally before and after AI-driven phases.