Prompt engineering

Jan 19, 2026

Coding with AI // Chip Huyen

Chip Huyen provides a deep dive into the evolving landscape of AI-powered coding. The talk covers the different interfaces for AI coding tools, introduces new metrics like "interruption rate" to measure productivity, and outlines a framework for the levels of coding automation. Huyen argues that the engineer's role is shifting from writing code to architecting systems and reviewing AI-generated output, emphasizing the rise of spec-driven development and the critical importance of system thinking.

Jan 12, 2026

AI on campus

A panel of university students from LSE, Princeton, Berkeley, and ASU discuss the real-world impact of AI on campus life. They cover how AI is used as both a powerful learning tool and a crutch, the innovative projects students are building, how universities are adapting, and the challenges of navigating cheating, job applications, and 'AI slop' in a rapidly changing educational landscape.

Jan 12, 2026

Getting started with Codex

This is a step-by-step walkthrough for onboarding to OpenAI Codex. It covers installing the CLI and VS Code extension, configuring your workflow with agents.md and config.toml, and applying effective prompting patterns. The session also dives into advanced use cases, including integrating external tools via MCPs, running Codex programmatically in headless mode, and building multi-agent systems with the Agents SDK.

Jan 12, 2026

Getting started with Codex

A step-by-step walkthrough on getting started with OpenAI's Codex. This guide covers installation of the CLI and VS Code extension, configuration using `agents.md` and `config.toml`, effective prompting patterns, and advanced workflows like using the Model-Connectable Protocol (MCP) and the OpenAI Agents SDK for programmatic automation.

Jan 09, 2026

KDD '25 AI Reasoning Day keynote: Improving AI Reasoning through Intent, Interaction, and Inspection

A deep dive into practical strategies for improving AI reasoning in code and structured tasks. The talk covers capturing richer user intent through examples, enabling collaborative interaction, and using automated inspection for iterative refinement, illustrated with real-world applications from Microsoft.

Jan 08, 2026

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

An in-depth guide to DSPy, a framework for programming with language models, not just prompting them. Learn its core concepts—Signatures, Modules, Adapters, and Optimizers—and see real-world examples of building robust, testable, and transferable AI applications for the enterprise.