Berlin DataTalksClub Group

Live Game Development Workshop - Aleksey Komissarov
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​What if you could build a working game - with art, sound, and mechanics - without writing a single line of code by hand?

​In this live workshop, we'll do exactly that. Starting from a rough idea, we'll build a small 2D game from scratch - art, sound, music, mechanics - using Claude Code and a handful of AI tools, all in real time. No prior programming experience required. No frameworks. No setup hell. Just an idea, a conversation, and 90 minutes.

​But this isn't just a tech demo. We'll also talk honestly about what's actually happening when you "vibe code" - what you gain, what you lose, and why the shift from writing code to directing a creative process is harder and stranger than it looks.

​We'll cover:

• ​Setting up a vibe coding session: context, tools, and the right mindset
• ​Live game development with Claude Code — from concept to playable prototype
• ​Why specification matters more than syntax in the AI era
• ​Why you need to experience AI failures, not just hear about them
• ​How to stay in control when the machine moves faster than you think

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By the end, you'll have seen a real game built live, understand the actual workflow behind vibe coding, and have a clearer sense of where human judgment still matters most.

​This workshop features Claude as a live voice co-instructor — not a tool in the background, but an active participant in the conversation.
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​About the speaker:
Aleksey Komissarov is a genomic bioinformatician, AI educator, and vibe coding practitioner with 20+ years of programming experience and a PhD in Genomics. He co-teaches "Programming in Natural Language" from 2024 — with Claude as a voice co-instructor — and recently published research on AI literacy and cognitive resistance to AI disempowerment. He builds things at the intersection of science, software, and human-AI collaboration, and lives in Berlin.

Join our Slack: https://datatalks.club/slack.html

​Building Resilient, Real-Time Data Pipelines with Python and Apache Flink - Alexey Grigorev
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​In this hands-on session, you’ll learn how to bridge the gap between batch processing and real-time engineering. While many data engineers are comfortable with SQL and Python, streaming introduces complex challenges like "lateness," out-of-order events, and state management.
We’ll show you how PyFlink handles these effortlessly.
​This session walks you through a complete end-to-end flow: producing mock event data into Red Panda, performing real-time windowed aggregations in Flink, and sinking the results into a PostgreSQL database for immediate analysis.

​What You'll Learn

• ​The Streaming Mindset: When to use continuous processing vs. micro-batches.
• ​Architecture 2026: Setting up a modernized stack with Red Panda, Flink, and Postgres.
• ​Watermarks & Windows: How to handle data from users "in a tunnel" using 2026 best practices.
• ​Resiliency & Recovery: Configuring Flink Checkpointing to ensure you never lose your place during a failure.
• ​The Table API: Using Python to write "SQL-like" transformations on live data streams.

​It will be a live demo with a fully working 2026 environment, practical troubleshooting tips for common Flink "stumbling blocks," and a chance to ask your questions. This workshop gives you a real feel for how stream processing is implemented in high-scale, real-world environments.
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​​About the Speaker

​​Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series.

​​Alexey is a seasoned software and ML engineer with over 10 years of engineering experience and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books, including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.
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Join our Slack: https://datatalks.club/slack.html