My company plans to implement AWS AI-Driven Development Life Cycle company-wide, but has not given much guidance so far on how it will actually look for QA. For those who’ve implemented AWS AI-DLC, what changed most about your QA practice — particularly manual QA — in terms of test design, validation criteria, risk management, and regression strategy? Do you have any tips or tricks during the implementation/learning process?
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| What are the major things a QA should know regarding CI/CD processes and AWS stuffs | 6 | 677 | 14 February 2023 | |
| AI developing but How I validate this as a QA? | 10 | 155 | 7 April 2026 | |
| 🤖 Day 13: Develop a testing approach and become an AI in testing champion! | 29 | 1468 | 22 March 2024 | |
| Ask Me Anything: Automation - Marie Drake | 10 | 1642 | 24 November 2021 | |
| Do you have a strategy for AI in your testing work? Is it defined already? | 3 | 92 | 22 December 2025 |