Vercel's Chief of Software Andrew Qu discusses the design of eve, Vercel's agent framework, and the architectural decisions behind it. The conversation covers why agents require new primitives — skills, sandboxes, and agent-readable websites — rather than adapting existing web software patterns. The piece offers a practitioner-level perspective on how a major deployment platform is rethinking its stack for agentic workloads.
A Latent Space podcast episode featuring Cognition's Walden Yan and OpenInspect's Cole Murray discussing the current state of autonomous software engineering agents. Topics include Devin's reported 80% commit rate, spec-to-PR workflows, full VM environments for agents, agent memory, and the emerging pattern of product managers shipping code directly. The conversation covers practical deployment patterns and tooling for async agentic coding workflows.
Andrew Ng argues that voice-enabled UIs are underappreciated and will become pervasive, drawing on his experience adding voice to a personal app in under an hour using Claude Code. He describes a dual-agent architecture—a low-latency foreground conversational agent paired with a high-intelligence background agentic workflow—as the key to resolving the latency-vs-reliability tradeoff in voice AI. The piece highlights Vocal Bridge, an AI Fund portfolio company, as a developer tooling provider enabling this pattern. Hackathon examples include a clinical trial matcher and a conversational portfolio advisor built with the toolkit.
Vercel Labs has published an open-source TypeScript project called 'skills' on GitHub, providing an agent skills tool invocable via npx. The repository has accumulated 23,611 stars with 106 added today, suggesting significant community interest. The project appears to be a framework or harness for defining and running agent capabilities.
Anthropic released a formal framework for responsible agent development, articulating principles around human oversight, transparency, value alignment, and privacy for autonomous AI agents. The document draws on Claude Code as a reference implementation and cites enterprise deployments at Trellix and Block as real-world examples. The framework is positioned as a contribution to emerging industry standards for agentic AI systems, acknowledging open technical challenges in value alignment measurement and oversight calibration.
Vercel's AI SDK is an open-source TypeScript library for building AI-powered applications and agents, created by the team behind Next.js. The repository has accumulated 24,842 GitHub stars with modest daily growth (+11 today). It represents a widely-adopted tooling layer for integrating LLMs into TypeScript/JavaScript applications.
Vercel has published an open-source Workflow SDK for TypeScript that enables building durable, reliable, and observable applications and AI agents. The library targets the agent orchestration and reliability layer, competing in the space of durable execution frameworks for AI workloads. With 2,119 stars and modest daily growth, it has early traction but is not yet widely adopted.
Latent Space interviews Daytona CEO Ivan Burazin about the company's infrastructure for giving AI agents secure compute environments. The discussion covers Daytona's bare metal sandbox architecture, 850K daily runs, 74% month-over-month growth, and their approach to RL-based evaluations for agent workloads. The piece positions Daytona as part of an emerging 'agent cloud' category providing isolated execution environments for autonomous AI systems.
A Latent Space daily AI news digest reflecting on the expanding scope of coding agents beyond software development into knowledge work and creative work domains. The piece uses OpenAI Codex and Anthropic Claude as anchoring examples of agents 'breaking containment' from their original coding/assistant niches. Published as a quieter news day commentary, it surveys the broadening agent ecosystem landscape.