AI-Assisted Engineering for Data Streaming. Hands-on With Lenses.io

AI is changing how we build and use data platforms. But let’s be real: most setups today are not made for AI-assisted development. They're built around APIs, UIs, and pipelines that don’t really work when you bring agents and copilots into the mix.

What if we could rethink the data stack and build pipelines that give both humans and AI the real-time context they need?

Join me and Tun Shwe, Staff AI Engineer at Lenses.io, for a hands-on livestream where we’ll explore how the Lenses MCP server helps bring agentic workflows to life.

🗓️ Thursday, October 23
⏰ 10 am EST/4 pm CET
Add event to your calendar: https://www.addevent.com/event/dT2706...

We’ll cover:
➡️ What MCPs are and why they’re key for AI-assisted engineering
➡️ How agentic systems compare to traditional APIs
➡️ Real-time context and why it matters for LLMs
➡️ Hands-on demo with Lenses MCP
➡️ A quick code tour using FastMCP
➡️ A couple of real-world use cases

If you're curious how AI will impact data engineering or want to build more future-proof pipelines, come hang out with us.

⏵ Learn about Lenses MCP for Kafka AI enablement: https://lenses.io/blog/2025/10/lenses...
⏵ Check out the Lenses MCP GitHub: https://github.com/lensesio/lenses-mcp
⏵ Learn about Lenses AI stack here: https://lenses.io/kafka-ai/
⏵ Read more about Context Engineering: https://www.philschmid.de/context-eng...