LangCode CLI - A powerful dev tool that unifies AI models
Today's curated insights on AI product management from X/Twitter across 60+ expert sources.
LangCode CLI - A powerful dev tool that unifies AI models
From X
AI Product Launches & Updates
Advanced Stock Research Agent: LangChainAI @LangChainAI announced a launch with a multi-agent system built on DeepAgents for professional stock analysis combining real-time data, technical indicators, and financial examination.
LangCode CLI: LangChainAI @LangChainAI announced a powerful dev tool with automated coding tasks, safe code changes, intelligent model routing, and diff previews.
ScrapeCraft: AI-Powered Scraping: LangChainAI @LangChainAI announced ScrapeCraft with bulk URL scraping, real-time data streaming, and AI-driven pipeline generation via LangGraph.
AI Tools & Applications
DeepAgents Resources: Harrison Chase @hwchase17 shared resources with open-source DeepAgents code on LangGraph and a LangChain Academy course to build advanced AI agents.
Alyx’s Real-World Data Principle: Teresa Torres @ttorres shared a principle with Arize’s Alyx using real-world data to expose and address prototype flaws caused by messy or incomplete inputs.
Product Management Insights & Strategies
AI PM Interview Prep: Aakash Gupta @aakashg0 shared guidance with 8 key question types covering product design, metrics, execution, technical decisions, safety, strategy, conflict resolution, and business impact.
High-Performance PM Artifact Prompts: George Nurijanian @nurijanian compiled a set with 15+ prompts demonstrating senior-level strategic, technical, design, and metrics thinking for PRDs, strategy docs, and experiment plans.
AI Industry Developments & News
Future of Coding: Sam Altman @sama shared a forecast with Codex poised to revolutionize software creation by end of 2026, signaling major productivity gains.
India AI Collaboration: AnthropicAI @AnthropicAI announced a meeting with PM Narendra Modi and Minister Ashwini Vaishnaw with plans to advance India’s AI ambitions and support the February 2026 AI Summit.
US Research Budget Debate: Yann LeCun @ylecun highlighted a proposal with a 50% cut to NSF computer science funding, sparking discussion on the role of academic research in AI innovation.