​AI is everywhere. But is it actually making engineering better—or just louder?

​We’re bringing case studies from Ataccama, Rohlik, Tricentis, and Kiwi.com—each one sharing what they’ve tried, what they’ve dropped, and what they’re doubling down on.

​What’s on the table:

​✅ How we evaluate AI tools: Practical metrics, benchmarks, and decision frameworks.
🎯 Hits and misses: Tools that stuck vs. those that didn’t survive real-world dev teams.
⚡ Surprises in adoption: The good, the bad, the weird.
🏎️ Driving dev engagement: How to get engineers to actually use new tools.
🔮 The 2026 vision: What role AI will play in future engineering workflows.

​Our speakers:

​🧠 Pavel Kepka, Staff Engineer, Frontend Platform @ Ataccama
🧠 Rhona Ask, AI Team Lead @ Tricentis
🧠 Peter Malina, Director of Engineering @ Kiwi.com
🧠 Michael Olšavský, Technical Domain Lead @ Rohlik Group

​Each of them will share a 15-minute lightning talk on what actually worked (and didn’t) when adopting AI tools in their teams.

​What makes our meetups different:

• ​Action-oriented: Every talk includes takeaway guides/frameworks you can photograph or access via QR code

• ​Case study focused: Real implementations, real results, real failures

• ​Interactive: Audience Q&A with people who've actually done this

• ​Practical: Skip the vendor pitches—hear from practitioners

​Perfect for engineering leaders tired of AI marketing fluff who want practical insights.

​We’ll wrap with a crowd Q&A and drinks. 🍹

​

​Meetup Partners