[FULL WORKSHOP] AI Coding For Real Engineers - Matt Pocock, AI Hero (@mattpocockuk )
A workshop on building a complete AI-assisted development workflow, covering how to translate ambiguous requirements into agent-ready plans and run autonomous coding agents to ship production-ready features.
What Do Models Still Suck At? - Peter Gostev, Arena.ai, BullshitBench
Despite benchmarks showing relentless progress, many users remain dissatisfied with LLM responses in real-world scenarios. This summary explores two key analyses—a custom 'nonsense question' benchmark and trends from Chatbot Arena's 'dislike both' data—to reveal the persistent gaps in model reasoning, reliability, and domain-specific understanding.
How To Build A Company With AI From The Ground Up
Y Combinator Partner Diana Hu explains how to build an AI-native company where AI is the core operating system, not just a tool. She covers how to make a company queryable, the impact on team structures, and why startups have a massive edge in this new paradigm.
Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
Kishore Subramanian, CTO of Propel Software, discusses how AI is revolutionizing physical product development. He explains how Propel's AI platform, built on Salesforce's Agentforce 360, uses agentic AI to "shift left" quality control, reviewing engineering changes to prevent costly downstream errors in hardware, high-tech, and med-tech manufacturing. The conversation also covers best practices for deploying enterprise-grade AI agents and the surprising benefits of yoga and meditation for creative problem-solving in tech.
Apple’s new CEO & how AI understands intent
Experts analyze Apple's AI future under new hardware-focused CEO John Ternus, the strategic implications of Anthropic's deep partnership with AWS for custom AI chips, the evolving landscape of customer intent in an era of AI agents, and the ironic security leak of the powerful Claude Mythos model.
It Ain't Broke: Why Software Fundamentals Matter More Than Ever — Matt Pocock, AI Hero @mattpocockuk
AI coding tools are powerful but can quickly create unmanageable code if used without discipline. Matt Pocock argues that success with AI in software development comes not from delegating everything, but from applying decades-old engineering fundamentals like TDD, Domain-Driven Design, and creating deep, testable modules. The developer's role shifts from a tactical coder to a strategic system designer.