Software development

Codex launch & OpenClaw/Moltbook chaos: This week in AI agents

Codex launch & OpenClaw/Moltbook chaos: This week in AI agents

The panel discusses OpenAI's new Codex application, framing it as a necessary 'table stakes' move in the competitive AI coding agent market rather than a game-changer. The conversation pivots to the importance of agent orchestration as the next frontier for value creation and monetization. They also explore the Moltbook (OpenClaw) phenomenon—a social network for AI agents—debating whether it's a valuable sociological experiment or a mere novelty, while highlighting the significant security vulnerabilities and practical hurdles it exposes.

Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

Harrison Chase, co-founder of LangChain, explains the evolution of AI agents from early, rigid scaffolding to modern, flexible "harnesses." He argues that "context engineering"—managing what an LLM sees—is the key to building effective long-horizon agents. Chase also explores how agent development differs from traditional software, highlighting the critical role of traces as the new source of truth and memory systems that enable agents to improve themselves over time.

Co-Engineering: The New Era of Human-AI Collaboration

Co-Engineering: The New Era of Human-AI Collaboration

Kiriti Badam from OpenAI introduces 'co-engineering,' a new paradigm where humans and AI agents collaborate as teammates in the software development lifecycle. He outlines key principles for effectively integrating AI agents into enterprise workflows, focusing on context management, security, and iterative improvement.

Coding with AI // Chip Huyen

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.

Learning Python Programming • Fabrizio Romano & Naomi Ceder

Learning Python Programming • Fabrizio Romano & Naomi Ceder

Fabrizio Romano, author of "Learning Python Programming," discusses the evolution of his book with Naomi Ceder. Key topics include the strategic shift from GUIs to CLIs, the evolving perspective on Python's type hinting, and the dual role of AI as a powerful tool and a potential threat to junior developer growth. Fabrizio emphasizes the importance of fundamental skills, mentorship, and the human element in the age of AI.

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, the product decisions that led to its explosive 20x growth, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed.