From AI-Assisted to AI-Native: Building a Frontier Development Team
Clare Liguori
- When
- Tuesday, June 302:50 PM – 3:10 PM · 20 min
- Where
- Leadership 1San Francisco, CA · imported from ai.engineer's public schedule feed
About this session
When features that took two weeks now ship in an afternoon, the bottleneck shifts from writing code to making decisions. Frontier teams have discovered this firsthand, achieving 3-10x productivity gains by fundamentally rethinking how developers work with AI agents. This talk covers the practices that separate frontier teams from those who merely "sprinkle" AI on their existing workflows: running agents asynchronously for hours, investing in comprehensive agent steering files, enabling local integration testing for agent self-correction, and automating everything from coding to operations to documentation. You'll learn how teams at Amazon slowed down to speed up, the temporary productivity dips they accepted, and the organizational changes required to sustain this velocity.
Speaker
Senior Principal Engineer, Amazon Web Services
Clare Liguori is a Senior Principal Engineer at Amazon Web Services (AWS), where she works on all things agentic AI. She primarily focuses on Kiro and Strands Agents SDK. Clare is also a core maintainer for the Model Context Protocol (MCP) specification.
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For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.