Google Cloud Budapest Meetup:
AI-Native Engineering vs. Core Fundamentals

18:30-19:00

Door opening

19:00-19:45

Becoming a Context Engineering Professional in Your Domain

The most underrated skill in the AI era: context engineering. How to structure prompts, design context windows, and become a force multiplier in your technical domain. Practical patterns from the field that turn good engineers into AI-native practitioners.

Tamás Imets

AI Solution Architect, Aliz

19:45-20:30

The Revenge of the Fundamentals:
old-school ideas winning in the AI era

The core argument: LLMs accelerate code generation are non-deterministic and inconsistent by default, which makes foundational engineering practices and tooling more important then ever. Teams that skipped the fundamentals, or was still hand rolling checks when AI arrived are paying for it at integration boundaries — it'll be way more harder to guide agent to write compliant and consistent code, and even harder to review the huge amount that was generated.
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Three fundamental tools doing more work than they get credit for:
• JSON Schema — enforcing the contract between modules
• TDD — writing the tests before the code
• Linters and formatters — static governance that guides the shape and correctness what the model sometimes misses even with context
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Máté brings a live demo: one real multi-cloud cost explorer example showing what AI tooling produces by default vs the disciplined version side by side.

Máté Czékus

Lead Architect, Adroit Group
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Aamna Tayyab

Head of Delivery, Adroit Group

20:30-21:00

Drinks and Networking