State of Vibe Coding report by v0

Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today we're diving into the most important developments shaping the future of AI product management. First up, Alibaba’s Qwen team has launched Qwen3-Next-80B-A3B, an 80-billion-parameter model that activates only 3 billion parameters per token. Using a hybrid Gated DeltaNet and Gated Attention architecture, it cuts training costs and inference time by 10×. In related news, Google’s Gemini Batch API now supports the Gemini Embeddings model for async processing at half the previous rates, with full OpenAI SDK compatibility. Also, hundreds of state-of-the-art open models—like Kimi K2, Qwen3 Next, GPT-OSS and Aya—are now available in VS Code and Copilot via Hugging Face inference providers. On the tools front, Cursor rolled out a new Tab model that delivers 21% fewer suggestions and a 28% higher accept rate by leveraging reinforcement learning. LangChain detailed how to turn Claude Code into domain-specific coding agents, ideal for tasks such as generating LangGraph code. And Replit’s new Agent 3 automates debugging, tool integration and project management to accelerate autonomous app development. Meanwhile on the product management side, v0 released the State of Vibe Coding report, outlining trends, risks and guardrails for no-code and low-code development. George Nurijanian shared a five-step meta-product framework—from problem validation to success criteria—to clarify priorities and speed decision-making. Teresa Torres also previewed the upcoming Just Now Possible podcast, where teams explore identifying customer problems, prototyping AI features and shipping real products. In broader industry news, Anthropic published best practices for writing developer tools that boost LLM agent capabilities. Harrison Chase found that, when optimizing Claude Code for LangGraph tasks, a high-quality prompt had more impact on code quality than raw documentation. On YouTube, All About AI showcased an automated video workflow using the Codex CLI and shared MCP servers. The pipeline splits audio into five-second chunks with ffmpeg, uses Nano Banana for multi-angle edits, adds music from Eleven Labs and ByteDance’s Omni model to generate avatar clips. It then fetches top posts from r/singularity, auto-generates a 20- to 30-second voice-over script, synthesizes it via Eleven Labs and outputs a social-ready talking-head video. Finally, on Lennys Podcast, Ben Horowitz delivered startup leadership advice: hesitation is crippling, so founders should “run toward fear” by choosing the slightly better of two bad options. He also defined product managers as mini-CEOs, judged on whether their product wins in the market. That's a wrap on today's GenAI PM Daily. Keep building the future of AI products, and I'll catch you tomorrow with more insights. Until then, stay curious!