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.
Alibaba expanded its Qwen 3.5 series with four small models—0.8B, 2B, 4B and 9B parameters—adding native multimodal support, improved architecture and scaled reinforcement learning for edge and lightweight agents. Claude AI unlocked its Memory feature on the free plan, adding improved import and export. And Logan Kilpatrick announced Gemini 3 Pro will retire on March 9; users should upgrade to Gemini 3.1 Pro Preview.
On the developer tools front, Carl Vellotti outlined direct APIs, pre-built servers, CLI tools and browser extensions to integrate Claude Code, and Peter Yang broke down five takeaways for linking it to Google Workspace, Linear, Slack and Reddit to power a unified daily-standup skill. Santiago Pino shared six best practices: plan, clarify requirements, test edge cases, break down tasks, create bug test cases and learn from corrections. Llama Index’s LlamaParse now preserves layout data when extracting figures and charts, returning cropped images alongside text.
Turning to management strategies, Philipp Schmid offered five tips for evaluating AI agents—set success metrics, start small, use deterministic grading, add LLM judges and grade outputs—while DeepLearning AI advises beginners to build real projects early instead of endless tutorials. Marc Baselga recommends granting PMs read access to code repos and approved coding agents as core infrastructure, collapsing weeks of handoff into minutes and enabling pull request creation. And at Coinbase, Claire Vo and Chintan Turakhia detailed using Cursor demos, a Linear-to-Claude feedback loop and leadership shifts rewarding code over meetings to scale AI adoption across 1,000 engineers.
Databricks CEO Ali Ghodsi noted ten years of growth, from $600,000 in Q4 2016 to $1.29 billion in Q4 2025 and a $5.4 billion run rate. NVIDIA AI released a podcast with Kuo Zhang on how agents like Accio cut global trade sourcing from weeks to hours. Greg Isenberg warned SaaS must become agent-native, rethinking payments, communication and memory.
Engineers are demonstrating AI-driven development. Cloudflare used AI to rebuild the Next.js API on Workers, achieving 94 percent coverage, 4.4× faster builds and 57 percent smaller bundles. Cody Schneider orchestrated Claude Code agents to automate LinkedIn outreach and generate and bulk-upload 100 Facebook ad creatives. A T-Max controller agent launched six parallel Claude Code instances—covering galaxy, objects, render, spacecraft, UI and indexing modules—to generate a 3JS space galaxy, then spun up four nested instances on a Hostinger VPS to run microGPT.py for 220 steps, track cross-entropy loss and output names like Alan, Mol, Anna, Maron, Pandla, Anan and Jana. At Coinbase, Cursor speedruns drove engineers to draft thousands of PRs, slashing review cycles from 150 to 15 hours, while a Cloudbot agent converts feedback into tickets and pull requests.
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!
GenAI PM