Ai agents

The $9B startup that wants to create a billion new developers

The $9B startup that wants to create a billion new developers

Replit co-founder and CEO Amjad Masad discusses the company's 10-year journey from a browser IDE to an AI-native "vibe coding" platform, empowering non-technical domain experts to build and deploy real software, and what the future holds with parallel agents and a post-prompting world.

[FULL WORKSHOP] AI Coding For Real Engineers - Matt Pocock, AI Hero (@mattpocockuk )

[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.

It Ain't Broke: Why Software Fundamentals Matter More Than Ever — Matt Pocock, AI Hero @mattpocockuk

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.

Inside Garry Tan's Claude Code Setup

Inside Garry Tan's Claude Code Setup

Garry Tan, President & CEO of Y Combinator, introduces GStack, an open-source toolkit that structures Claude into a complete AI engineering team. He demonstrates how GStack's skills—like 'Office Hours' for idea validation, 'Design Shotgun' for UI mockups, and browser-based QA—streamline the development process from concept to code.

CI/CD Breaks at AI Speed: Tangle, Graphite Stacks, Pro-Model PR Review — Mikhail Parakhin, Shopify

CI/CD Breaks at AI Speed: Tangle, Graphite Stacks, Pro-Model PR Review — Mikhail Parakhin, Shopify

Shopify CTO Mikhail Parakhin details their aggressive internal AI adoption, revealing the internal stack—Tangle, Tangent, and SimGym—that powers reproducible ML, auto-research, and customer simulation. He also discusses how AI shifts the software bottleneck to PR review and CI/CD and explains their use of Liquid AI for low-latency, non-transformer workloads.

Agents need more than a chat - Jacob Lauritzen, CTO Legora

Agents need more than a chat - Jacob Lauritzen, CTO Legora

Jacob Lauritzen, CTO of Legora, argues that as AI agents tackle more complex work, the bottleneck shifts from task execution to planning and review. He proposes a framework for human-agent collaboration based on increasing 'trust' and 'control', and advocates for moving beyond simple chat interfaces to high-bandwidth, domain-specific artifacts like documents and structured reviews for more effective collaboration.