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Agentic coding at Amazon - Lessons from Amazon and our customers
Learn practical lessons from Amazon and AWS on effectively scaling agentic coding tools across an organization, based on real-world rollout experiences.
AI coding assistants are transforming software development, but adopting them effectively requires more than just giving developers access to new tools. Drawing on real-world experience from rollout to Amazon’s internal developers and AWS’ external customers, this session shares practical lessons on what actually works when scaling agentic coding across an organization
- Kiro SoftwareAn agentic software development service built on Amazon Bedrock that uses spec-driven workflows to turn natural language prompts into production-ready code, tests, and pull requests.Kiro is an AI-powered development platform that brings engineering rigor to agentic workflows (available via IDE, CLI, and Kiro Web). Built on Amazon Bedrock, it moves beyond basic autocomplete by using a spec-driven methodology: the system first generates structured requirements, design documents, and step-by-step task plans before writing any code. Developers can steer the agent using custom steering files, automate routine tasks with event-triggered agent hooks, and integrate external tools via Model Context Protocol (MCP) servers. By coordinating changes across multiple repositories simultaneously, Kiro automates complex, multi-step engineering tasks and delivers fully verified pull requests directly to your repository.