Code generation

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.

How a Meta PM ships products without ever writing code | Zevi Arnovitz

How a Meta PM ships products without ever writing code | Zevi Arnovitz

Zevi Arnovitz, a non-technical Product Manager at Meta, shares his complete workflow for building and shipping sophisticated applications using AI tools like Cursor. He details a structured, multi-step process that leverages different AI models for specific tasks, including a novel "peer review" technique where models critique each other's code.

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

Spec-Driven Development offers a structured, reproducible, and reliable alternative to 'vibe coding' in the AI era. Al Harris from the Kiro team explains how to leverage specs as living documentation, integrate external tools via MCPs, and use property-based testing to create a tight feedback loop from natural language requirements to verified code.

Compilers in the Age of LLMs — Yusuf Olokoba, Muna

Compilers in the Age of LLMs — Yusuf Olokoba, Muna

Yusuf Olokoba, founder of Muna, details a compiler-based approach to transform Python AI functions into self-contained native binaries. This talk explores the technical pipeline, including custom AST-based tracing, type propagation, and the strategic use of LLMs for code generation, enabling a universal, OpenAI-style client for running any model on any platform.

Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria// #342

Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria// #342

Siddharth Bidasaria from Anthropic shares the origin story of Claude Code, from a simple internal terminal app to a powerful coding agent. He discusses the team's core philosophy of 'letting the model cook,' the evolution of agentic capabilities, the critical role of verification and testing, and the future of complex, multi-agent systems.

Marc Andreessen & Amjad Masad on “Good Enough” AI, AGI, and the End of Coding

Marc Andreessen & Amjad Masad on “Good Enough” AI, AGI, and the End of Coding

Amjad Masad, founder of Replit, joins a16z to discuss the rise of AI agents that can now plan, reason, and code for hours. He explains how reinforcement learning and verification loops unlocked long-horizon reasoning, why AI is advancing fastest in verifiable domains like code, and debates whether "good enough" AI might be a local maximum that blocks the path to AGI.