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#39 Spotkanie Gdańsk Embedded Meetup

Find out how AI is changing firmware development and what can be built in 24 hours, and meet practitioners and embedded enthusiasts from the industry.

When Tuesday, 3 November 2026
Time 18:00
City Gdańsk

Zapraszamy na kolejne spotkanie Gdańsk Embedded Meetup!
We will see you on Tuesday, November 3 at 18.00 in the D003 auditorium at the Faculty of Mathematics, Physics and Computer Science of the University of Gdańsk (ul. Wita Stwosza 53, Gdańsk).
Schedule: 18.00 Piotr Kaminski, Jakub Revieński - “Embedded is dead? Long live embedded. How AI agents transformed firmware development at Amazon Ring and how we ship code to 130 million devices streaming video every day. « 19.00 Pizza break 19.30 Mariia Krykun, Natan Tułodziecki - "Six hackathons, six projects - what can be built in a day and what breaks down at the same time" 20.30
Partnerzy spotkania: Ambient System: https://ambientsystem.eu/pl/ Amazon Development Center: https://innovationjam.pl/ EmbeddedSystems.do: https://embeddedsystems.do/ ST Microelectronics: https://www.st.com/content/st_com/en.html Wydział Matematyki, Fizyki i Informatyki Uniwersytetu Gdańskiego: https://mfi.ug.edu.pl/ Fundacja CODE:ME: https://codeme.pl/ Hackerspace Trójmiasto: https://hs3.pl/ msalamon.pl: https://sklep.msalamon.pl/ ucgosu.pl: https://ucgosu.pl/
Prezentacja 1 Autor: Piotr Kaminski, Jakub Rewieński Tytuł: “Embedded is dead? Long live embedded. How AI agents transformed firmware development at Amazon Ring and how we ship code to 130 million devices streaming video every day.”
Opis: Ring makes video doorbells and security cameras. More than 100 million of them stream and record video every day, and each one runs firmware: the low-level software that makes the hardware work. We'll show how we use AI to write and deliver that firmware faster.
We regularly bring up new device platforms on new chips, often before the chip's documentation is complete. Each time, a lot of parts must work together from scratch: the image sensor, the image processing, video compression, Wi-Fi, and the connection to our cloud. That work used to take months from a large group of engineers. On our latest platform, a team of AI agents did it, working with three engineers. We…

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Zapraszamy na kolejne spotkanie Gdańsk Embedded Meetup! Widzimy się we wtorek 3 listopada o godzinie 18.00 w auli D003 na Wydziale Matematyki, Fizyki i Informatyki Uniwersytetu Gdańskiego (ul. Wita Stwosza 53, Gdańsk). Harmonogram: 18.00 Piotr Kaminski, Jakub Rewieński - “Embedded is dead? Long live embedded. How AI agents transformed firmware development at Amazon Ring and how we ship code to 130 million devices streaming video every day.” 19.00 Przerwa na pizzę 19.30 Mariia Krykun, Natan Tułodziecki - “Sześć hackathonów, sześć projektów - co da się zbudować w dobę i co się przy tym psuje” 20.30 Zakończenie Partnerzy spotkania: Ambient System: https://ambientsystem.eu/pl/ Amazon Development Center: https://innovationjam.pl/ EmbeddedSystems.do: https://embeddedsystems.do/ ST Microelectronics: https://www.st.com/content/st_com/en.html Wydział Matematyki, Fizyki i Informatyki Uniwersytetu Gdańskiego: https://mfi.ug.edu.pl/ Fundacja CODE:ME: https://codeme.pl/ Hackerspace Trójmiasto: https://hs3.pl/ msalamon.pl: https://sklep.msalamon.pl/ ucgosu.pl: https://ucgosu.pl/ Prezentacja 1 Autor: Piotr Kaminski, Jakub Rewieński Tytuł: “Embedded is dead? Long live embedded. How AI agents transformed firmware development at Amazon Ring and how we ship code to 130 million devices streaming video every day.” Opis: Ring makes video doorbells and security cameras. More than 100 million of them stream and record video every day, and each one runs firmware: the low-level software that makes the hardware work. We'll show how we use AI to write and deliver that firmware faster. We regularly bring up new device platforms on new chips, often before the chip's documentation is complete. Each time, a lot of parts must work together from scratch: the image sensor, the image processing, video compression, Wi-Fi, and the connection to our cloud. That work used to take months from a large group of engineers. On our latest platform, a team of AI agents did it, working with three engineers. We…