Prithvi Rajasekaran builds AI agents on Anthropic’s Labs team, working on Claude Code, context engineering, frontend design and long-running application development.

Unclaimed profile

Prithvi Rajasekaran builds AI agents on Anthropic’s Labs team, working on Claude Code, context engineering, frontend design and long-running application development.

Career

Applied AI / Member of Technical Staff at Anthropic until PresentWorks on agentic coding, context engineering, and harness design for long-running autonomous software engineering. Authored Anthropic engineering research on harness design and contributed to Anthropic's work on context engineering for AI agents.
anthropic.com

Effective context engineering for AI agents

Co-authored with Ethan Dixon, Carly Ryan, and Jeremy Hadfield, an engineering guide to managing context, tools, retrieval, and memory for AI agents.

Open ↗
anthropic.com

Harness design for long-running application development

Prithvi Rajasekaran explains his generator–evaluator experiments, application-building agents, and the tradeoffs in simplifying their orchestration.

Open ↗

Prithvi's Collections

Prithvi's Lists

In these lists

Cosigns Given