Google AI Studio Launches Full-Stack Vibe Coding Experience

If you want to master building enterprise-level AI products from scratch and future-proof your career with the most important AI skills, this #1 AI PM Certification is for you.

Run by real AI operators: Rohan Varma (ex-cofounder, first ever PM at Cursor, now at Codex) & Henry Shi (former co-founder of Super.com, a $200M+ ARR company, now technical staff at Anthropic Labs, working directly with the founders).

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#1 𝕏

Google AI rolled out a full-stack “vibe coding” experience in AI Studio—complete with smarter agents, multiplayer collaboration, secure login/storage and real-world service integrations—and unveiled Stitch, an AI-native design canvas that turns natural-language prompts into p...

#2 𝕏

Philipp Schmid unveiled that Veo 3.1 video and Gemini (Nano Banana) image models are now drop-in via the OpenAI compatibility layer—generate videos with `/v1/videos` and images with `images.

#3 𝕏

Guillermo Rauch unveiled Next.js 16.2 as an agent-native framework—complete with AGENTS.md, bundled docs and @vercel/next-browser—to let AI agents debug, optimize and apply advanced React/Next.js features in your exact version.

#4 𝕏

NVIDIA AI launched a GPU benchmark converting performance into a “speed-of-light” score to reveal hardware headroom. A public leaderboard will rank which tools come closest to the limit.

#5 📝 Doug Turnbull

How to actually choose a retrieval engine - Explains how teams should choose a retrieval engine by comparing vector databases and search engines, and considering trade-offs between options like Elasticsearch, OpenSearch, Solr, Vespa, Pinecone, Turbopuffer, and Weaviate. Emphasizes practical selection criteria beyond hype.

#6 𝕏

LlamaIndex 🦙 launched open-source LiteParse, a set of ready-to-use agent skills for coding agents. Install with `npx skills add run-llama/llamaparse-agent-skills --skill liteparse` to enable local document processing in agents like Claude Code.

#7 𝕏

Peter Yang says OpenAI’s clear play is to leverage ChatGPT’s massive install base by making it the best coding/knowledge-work tool and then evolving it into a personal assistant (à la OpenClaw)—but they must speed up steps 2 and 3 before users jump to Claude or Gemini.

#8 𝕏

clem 🤗 says Nvidia is the new American open-source AI king, and Hugging Face now has 15 M builders (30% of Fortune 500), targeting majority adoption by year-end. He predicts open-source agents (e.g.

#9 𝕏

LlamaIndex 🦙 launched LlamaParse’s official Agent Skill for 40+ agents, adding built-in instructions to parse complex documents (tables, charts, images) for deeper understanding beyond raw text.

#10 𝕏

Peter Yang outlines an AI-era PM playbook: plan in short sprints, demo and test prototypes ASAP, revisit features as models evolve, and always start with the simplest solution first.

#11 𝕏

DeepLearning.AI urges AI builders to start by identifying real users and their problems before picking a model, offering courses that teach how to build solutions that truly matter.

#12 𝕏

DeepLearning.AI reports Meta, OpenAI and others are building on-site gas-powered plants to directly fuel AI data centers, bypassing grid delays but risking higher costs and greenhouse gas emissions.

#13 𝕏

clem 🤗 Cursor’s new model is built on the open-source Kimi framework, highlighting how open-source—especially Chinese contributions—is powering the global AI stack and shifting the competitive frontier to who can adapt, fine-tune, and productize fastest.

#14 in

Guillermo Rauch introduced Next.js 16.2 as the first agent-native framework, bundling wisdom.ai docs and a @frontend/debug-tool for AI-driven debugging and optimization.