Gen AI disrupts SDLC. What does it mean for developers? The AWS approach | AWS Developer Day 2025
summary
Amazon Q Developer uses agentic workflows and program analysis to move developers from idea to deploy in minutes, not months: it migrates legacy Java 8/11 code to Java 17 at scale, reportedly converting 30,000 production apps and saving $260 million/year. Agents generate and execute tests, iterate until tests pass, and surface CloudWatch Insights for debugging. Benchmarks show issue-resolution rising from ~25% to ~60% on SBench as verification and retrieval scaffolding improve.
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chapters (9)
- 0:00Introduction to AI in SDLC
- 1:50Amazon Q for Development
- 3:25Undifferentiated Heavy Work
- 5:29Evolution of Amazon Q
- 7:46Automated Reasoning and Agents
- 10:11AI Innovation and Scaffolding
- 12:50Managing Verification Overload
- 15:38Transforming Developer Experience
- 17:42AWS Philosophy and Future
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