Unleashing the Power of Gen AI to Boost Engineering Engagement and Productivity
summary
Amadeus applies GenAI across the travel journey and runs a staged rollout of developer tooling that begins with a 4‑week 10‑person pilot then 100 volunteers and a 6‑month assessment of ~10,000 engineers, culminating in full deployment to over 6,000 users with reported satisfaction 3.9. Engineering metrics combine qualitative feedback and attempts to measure story points and cycle time. Current stack centers on GitHub Copilot and explores agent and multiagent platforms like RoCode and Cursor with a roadmap to engineer-facing assistants and automated multiagent project generation.
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chapters (13)
- 0:00Introduction and background
- 1:04About Amidius and travel tech
- 3:49GenAI in travel journeys
- 5:14Internal and external GenAI adoption
- 5:35GitHub Copilot journey
- 8:48Industry trends in GenAI
- 10:13GenAI models and systems
- 12:21GenAI in software lifecycle
- 13:03Top AI coding tools
- 16:32Generations of AI coding tools
- 19:21Beyond coding tools
- 20:46Future strategy for GenAI
- 21:51Closing and Q&A
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