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Talks and discussions on system architecture in Warsaw and online.

We are a community of tech specialists, united by an interest to distributed systems design. We create gathering spots for everyone who wants to listen & talk about software architecture and related stuff.

Speakers from all over the world, local tech luminaries and likeminded network of developers, team leaders, DevOps, and architects.

📹 TechSpot talks archive on our Youtube channel

We also host the @137-Podcast — honest, no-BS conversations with CTOs, engineers, and tech leaders about the realities of the tech industry.

❤️ All genders and nations are very welcome

🤝 Organizer and Driver — On The Spot

1 asiento restantes
Engineering systems in the AI shift

Engineering systems in the AI shift

Brain Embassy Czackiego, Tadeusza Czackiego 15/17, Warsaw, PL

🎟️ Important: Saying “Yes” on Meetup shows interest, but you need to purchase a ticket

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

🗓️ 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.

🎟 Full agenda and tickets
Paid participation. Senior community. Limited seats.

  • Foto del usuario
  • Foto del usuario
  • Foto del usuario
19 asistentes

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  • 1 asiento restantes
    Engineering systems in the AI shift

    Engineering systems in the AI shift

    Brain Embassy Czackiego, Tadeusza Czackiego 15/17, Warsaw, PL

    🎟️ Important: Saying “Yes” on Meetup shows interest, but you need to purchase a ticket

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

    🗓️ 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.

    🎟 Full agenda and tickets
    Paid participation. Senior community. Limited seats.

    • Foto del usuario
    • Foto del usuario
    • Foto del usuario
    19 asistentes

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Foto del usuario On The Spot
On The Spot y 2 otros

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