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Agent Engineering Defining Agents, Why now, and why Agents are the biggest opportunity for AIEs
Vercel From one-command deployment to v0 and durable agents, Vercel builds tools for creating and operating web software.
…Agency Raises $2.6 Million: Agency, a company building AI agents, announced a $2.6 million fundraise to develop "generationally important technology" and bring their AI agents to life. The company's vision involves building a future where…
…into an AI editor, opening its Copilot Chat code and using agents in its own development workflow.
…of revision queueing and ART integration for RL training of agents.
…leader whose writing explains context engineering, coordinated agents, and the infrastructure needed for autonomous software development.
…drive-by community PRs with software factories, where teams of agents apply fixes and features.
…terminal to an environment for coding with multiple AI agents, followed by cloud orchestration and software-factory infrastructure.
…announced MCP support is coming to OpenAI products like the Agents SDK and ChatGPT desktop app, signaling a major step for MCP adoption. Cloudflare also now supports building and deploying remote MCP servers, lowering the barrier to entry. …
What Makes a Thousand-Layer RL Network Trainable? Goal-reaching agents benefit from depth when the learning objective, architecture, and supply of experience scale together.
…learning for coding include self-play methods where agents inject and fix bugs autonomously, enabling self-improvement without human labeling, and large-scale RL infrastructure involving massive parallel code generation and execution…
…Intellect researcher working on reinforcement learning for agents that use tools across multiple turns.
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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