Engineering systems in the AI shift

We're gathering CTOs, architects and engineering leaders to exchange experiences of system-level AI adoption.

🎟️ Tickets sold out!

🗓️ April 9, 16:00 - 21:00 CEST
📍 Brain Embassy Czackiego, Warsaw

Full agenda and tickets

👉 Two deep-dive talks

1. Building software in an AI-native way — Ivan Padabed
   What teams have to formalize and redesign when AI becomes part of the system.
2. AI agents as an operational level of development — Roman Voronin
   How agent pipelines are starting to act as a new operational layer in engineering workflows.

👉 Roundtables (inputs from 6 tech leads followed by small-group discussions)

1. Organic AI adoption: lessons from vibecoding — Andrei Lapanik
   What sticks and what fails in engineering teams when AI adoption grows without top-down pressure?
2. Knowledge debt in AI-native systems — Egor Miasnikov
   When AI writes most of the code, is losing system understanding a grave risk or can we simply compensate for it with stronger testing?
3. Centralizing AI adoption in skills, workflows, and reasoning — Aleksey Shafransky
   How do you turn AI adoption from an individual habit into a system-level capability?
4. Ownership in AI-assisted engineering — Evgeny Demidovich
   Who owns decisions and outcomes as AI takes over the code generation?
5. AI as a structural stress test — Dmitry Volokh
   Can your decision-making model handle fast, cheap execution with clear ownership and shared context?
6. Aligning leadership and engineering in AI adoption — Vadzim Zhuk
   How can a tech manager resolve the gap between executives' high expectations and engineering skepticism regarding AI adoption?

👉 𝐀𝐟𝐭𝐞𝐫𝐩𝐚𝐫𝐭𝐲 & 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠

Talk to peers and get more clarity on how to design AI-native systems, how to adopt it in organizations, and learn how others are doing it.

🎟 Paid participation. Senior community. Limited seats.