Anthropic's Applied AI team on the Evolution of Agentic Surfaces
AI Engineer World's Fair 2026 · 31:24
AI models, applications, and safety research
Anthropic builds Claude, a family of AI models and applications for coding, agents, and professional work. Its products serve individuals, developers, researchers, and enterprises: Claude Code is its coding agent, while Claude Science combines researchers’ tools and packages with access to computing resources and produces auditable artifacts. Developers can use its API to connect agents to external tools, with tool search and programmatic calling designed to handle thousands of tools in complex workflows.
Founded in 2021 by former OpenAI employees including CEO Dario Amodei and president Daniela Amodei, Anthropic is structured as a public benefit corporation. Its mechanistic interpretability research uses dictionary learning to identify concepts represented inside models; in 2024, researchers extracted millions of features from Claude Sonnet and manipulated them to test effects on behavior. Anthropic also introduced the Model Context Protocol, an open standard connecting AI applications to external systems, and donated it to the Linux Foundation’s Agentic AI Foundation in 2025.
In May 2026, the company reported that its annualized revenue run rate exceeded $47 billion, alongside enterprise adoption across industries. That month, Anthropic raised $65 billion in Series H funding at a $965 billion post-money valuation, including $15 billion in previously committed hyperscaler investments. The financing was intended to expand computing capacity, support safety and interpretability research, and scale its products and partnerships.
AI Engineer World's Fair 2026 · 31:24
Cat Wu · Thariq Shihipar · Simon Willison
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Christopher Lovejoy · Saul Howard
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AI Engineer Europe 2026 · 1:15:40
AI Engineer Code 2025 · 1:52:25
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Barr Yaron · Mihir · John · Tina · Shresta · Paige · Colin · Petra · Steven
AI Engineer Summit 2025 · 22:26
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Affiliations reflect their AIE appearances, not necessarily current employment.
Start with the essay based on Barry Zhang's talk to weigh autonomy against cost, latency, and risk, and understand why execution budgets remain difficult to enforce.
Barry ZhangAI Engineer Summit 2025
The essay based on David Soria Parra's talk explains progressive tool discovery, client responsibility for context usage, and how programmatic orchestration can reduce repeated inference.
David Soria ParraAI Engineer Europe 2026
The essay based on Thariq Shihipar's workshop shows how Bash, files, and familiar data interfaces support context gathering, alongside layered permissions and sandbox restrictions.
Thariq ShihiparAI Engineer Code 2025
Anthropic Applied AI engineers Ash Prabaker and Andrew Wilson explain how to build agent harnesses that sustain autonomous software work for hours.
Ash Prabaker · Andrew WilsonAI Engineer Europe 2026
Barry Zhang recommends using simpler workflows when they suffice and inspecting decisions from the agent's perspective. With Mahesh Murag, he presents skills as portable procedural knowledge layered onto a common runtime.
David Soria Parra describes MCP alongside skills and CLI or computer-use capabilities. Karan Sampath and John Welsh examine shared gateways for authentication, credentials, permissions, and organizational visibility.
Ash Prabaker and Andrew Wilson examine persistent artifacts, context compaction, and generator-evaluator workflows. Eugene Yan applies verification to security work through reproducible exploit testing, triage, and patch feedback.
Affiliations reflect each recorded session, not necessarily current employment.