Blazing a Trail: How Peloton Rebuilt the SDLC for the Agentic Era with Amazon Bedrock

This article describes how Peloton rebuilt its software development lifecycle for the agentic era using Amazon Bedrock and AWS services, enabling autonomous AI agents to handle repetitive tasks while engineers focus on high-judgment work.

• Quarry: credential portal providing engineers short-lived STS tokens for secure Amazon Bedrock access via SSO, eliminating static API keys
• Bureau: autonomous agent platform executing end-to-end software missions from natural-language directives with access to GitHub, AWS, Slack, and Jira
• 517% user growth and 184 unique users in first 18 days; 400+ PRs merged averaging 33+ per day
• Non-engineers (PMs, security engineers) ship production features; 48.7% of missions involve code and engineering automation
• $370K+ annual savings identified including $120K cloud savings and $50K vendor spend eliminated
• Zero static API keys and zero CVEs after autonomous security audits

Peloton's AI-native approach demonstrates how organizations can rebuild workflows around AI rather than bolting AI onto existing processes, using AWS security primitives for governance and observability.