Code with Claude — San Francisco 2026

"Keynotes, demos, and conversations with the teams behind Claude. Recorded at Code w/ Claude 2026 San Francisco and ready to replay."

"A twenty‑minute summary of what's new in Claude Code: what shipped, why we built it, and how to get started."

"How memory and dreaming turn Claude Managed Agents into self‑learning systems. This session walks through design considerations for memory architectures and how dreaming verifies and enriches memory between sessions."

"GitHub's Copilot team ships Claude to millions of developers across chat, CLI, coding agent, and code review, and has become one of the most demanding users of the Claude Platform. GitHub CPO Mario Rodriguez and Anthropic's Brad Abrams break down how the team pushes quality up and costs down at scale, from caching and evaluation to the new Advisor strategy."

"Over the last year, capabilities that used to require heavy scaffolding have moved into the model: reliable tool use, context management, writing and running code, computer use, and more. This session walks through these capabilities, shows what changed between model generations, and demonstrates how they compose into agents that finish work instead of just starting it."

"Building agents used to mean spending development cycles on secure infrastructure, state management, permissioning, and reworking your agent loops for every model upgrade. Managed Agents, on the Claude Platform, now handles that layer for you. This session covers how to build and deploy a production‑grade agent at scale."

"A conversation with Dario Amodei & Daniela Amodei moderated by Ami Vora." Anthropic's two co‑founders on stage — not on the London agenda.

"Ever wonder how the Claude Code team uses Claude Code themselves? Watch Boris Cherney, Head of Claude Code, and Jarred Sumner, creator of Bun, livestream their everyday workflows together."

"Most of the AI value in your organization is locked in isolated experiments. That is not the Agentic Enterprise we've been promised. AI can help us ideate, orchestrate, and complete the work. Not just support."

"Three teams building AI‑native products — Cognition, Gamma, and Harvey — discuss the architectural decisions behind their stacks. The conversation covers multi‑agent orchestration, MCP in production, autonomous agent design, and the tradeoffs each team has worked through along the way."

"When agentic coding goes from individual tool to org‑wide default, the tool isn't the hard part…your processes are. Fiona Fung, Director of Engineering for Claude Code, walks through what broke at Anthropic (review, ownership, hiring) and the norms we had to rewrite to keep shipping."

"When Opus 4.5 landed, v0 was ready on day one — not by luck, but by design. Guillermo Rauch sits down with Angela Jiang at Anthropic to unpack how Vercel architects for model step‑changes: the bets that paid off, the ones that didn't, and what becoming an 'agent‑pilled company' actually looks like inside a frontier platform team."

"Adaptive thinking and effort controls give developers a new decision: how much should Claude reason for a given task? This session covers thinking budgets, effort levels, and the cost, latency, and quality tradeoffs involved."

"A live build from zero to deployed in thirty minutes. We'll build a feedback app spanning five roles and the full software lifecycle, using Claude and Google Cloud alongside subagents, MCP servers, and custom skills."

"At Datadog, 90% of engineers adopted AI coding tools for production work in the last four months, with Claude Code driving two‑thirds of that usage. As sessions grew more ambitious, the reusable tools they produced — for verification, debugging, orchestration — sprawled into unmaintainable one‑offs. Sesh Nalla, VP of Engineering, shares how Datadog built Temper: a constrained framework that produces secure, reusable tools that compound across sessions and teams instead."

"Most teams shipping AI products can't build evals that predict how a model will actually perform in production. Michele Catasta, President & Head of AI at Replit, shares how his team closed that gap with ViBench — a public vibe‑coding benchmark that scores whether the generated app works — and the offline/online evaluation loop behind Replit Agent that turns weeks of engineering into compounding overnight gains. Anthropic's Hannah Moran joins to share what separates evals that look rigorous from ones that actually help teams adopt new models with confidence."

"Cut cost, manage context, boost intelligence. In this session, we'll show you how to put our latest platform capabilities to work. Through live demos you'll see what great prompt caching looks like, learn to keep context lean for long‑running agents with tool search, programmatic tool calling, and compaction, and use the advisor strategy for a cost‑effective intelligence boost."

"Frontier models are getting more capable, fast. Where the curve is going, and what it means for developers building on Claude."

"Local agents hit a ceiling — they compete for your machine's resources, can't verify their own work, and bottleneck at one or two tasks at a time. Alexi Robbins, Head of Engineering for Cursor's async agents, share how they gave each agent its own isolated VM so agents can write code, spin up browsers, test their own changes, and deliver merge‑ready PRs in parallel — now behind 30%+ of Cursor's internal merged PRs."