Mar 26, 2026

A Common-Sense Guide to AI Engineering • Jay Wengrow & Kris Jenkins • GOTO 2026

Jay Wengrow, author of “A Common-Sense Guide to AI Engineering,” breaks down how AI agents work, describing the 'clever hack' of intercepting LLM output to trigger functions. The discussion covers multi-agent architectures for complex tasks, implementing guardrails with regex and judge LLMs, and a pragmatic take on when to use frameworks versus building from scratch. Wengrow emphasizes understanding fundamentals over specific tools to create robust, production-ready AI applications.

Mar 25, 2026

AI Agents in Practice • Henrik Kniberg • GOTO 2025

Henrik Kniberg shares practical experiences from over two years of AI agent development, defining agents as autonomous entities with missions, tools, and an LLM brain. He covers effective design patterns, architectural insights, and safety considerations, emphasizing the importance of human-in-the-loop collaboration and iterative development to build agents that are not just powerful, but genuinely useful in real-world scenarios.

Mar 24, 2026

Lessons from 25 Trillion Tokens — Scaling AI-Assisted Development at Kilo

Scott Breitenother, CEO of Kilo, discusses the evolution of software development, where engineers are shifting from writing code to orchestrating AI agents. He shares lessons from processing 25 trillion tokens, emphasizing the critical role of trust, the importance of end-to-end ownership, and how this new paradigm leads to a 10x increase in shipping velocity.

Mar 20, 2026

Dreamer: the Agent OS for Everyone — David Singleton

David Singleton, former Stripe CTO, introduces Dreamer, an "operating system" for consumer-friendly AI agents. He demos building a conference app in minutes using natural language, and details the platform's architecture, developer ecosystem, and monetization model for tool builders.

Mar 20, 2026

Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Andrej Karpathy discusses the paradigm shift to AI agent-driven development, the future of engineering and research with his AutoResearch project, the impact on jobs, and the evolving landscape of open-source models, robotics, and education.

Mar 14, 2026

⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

Sam Khavari, the creator of Pydantic, introduces Monty, a new, secure, and high-performance Python interpreter written in Rust. Monty is designed specifically for AI agents, bridging the gap between simple, limited tool-calling and complex, slow, full-featured sandboxes.