Application modernisation with generative AI

on YouTube ↗28m

" summary

A customer prototypes a combined pipeline using Amazon Q Developer for bulk code transformation and Amazon Bedrock for prompt-driven fixes and test generation, converting Java 8 → 17 and spotting 100% of direct DB queries. The prototype upgrades 1,000 Java apps in two days with a five‑person team (about 10 minutes per app), reports 70–90% developer time savings for Java, 30–60% for Python, 50–90% gains in test coverage generation and 30–50% faster vulnerability remediation.

AI-written summary · about

" chapters (6)

1. 0:00Welcome and introduction
2. 1:30Why tech debt matters
3. 9:57Customer success with generative AI
4. 17:48Incremental modernization options
5. 24:12Custom environments and future plans
6. 27:18Q&A and closing remarks

" related talks

• 41mSupercharge your development with AWS GenAI developer toolsMarina Burkhardt, Hector Ibarra · AWS Summit Berlin 2024
• 21mGen AI disrupts SDLC. What does it mean for developers? The AWS approach | AWS Developer Day 2025Alex C. Williams, Srini Iragavarapu · AWS Developer Day 2025
• 59mAmazon Q Developer Code Transformations for Java.Anton Kovalenko · Java ON 2024
• 19mAccelerate application modernization using generative AI | AWS Developer Day 2025Matt Lewis · AWS Developer Day 2025
• 38mGenerative DevOpsCecelia Martinez · Devnexus 2025
• 59mTools & Tips to Modernize Your Java code with AIVinicius Senger, Jonathan Vogel · Devnexus 2026
• 19mSupercharge your productivity across the SDLC with generative AI | AWS Developer Day 2025Christian Bonzelet · AWS Developer Day 2025
• 46mAccelerate DevOps with generative AI and Amazon CodeCatalystAamna Najmi, Daniela Dorneanu · AWS Summit Berlin 2024