29-30 SEPTEMBER 2026
MARINA BAY SANDS

CO-LOCATED SHOWS

 

Build Better LLM Apps with ClickHouse (BDWA)

The AI Engineering Loop with Langfuse, end to end

This is a hands-on workshop for engineers building production LLM applications.

Most teams shipping AI features today are iterating on instinct, tweaking prompts, swapping models, adjusting parameters, with no reliable way to know if the change actually made things better. That slow, blind cycle is the bottleneck between a prototype and a production-grade AI product. This workshop gives you the tooling and workflow to close that loop. Walk away with working traces, managed prompts, and a repeatable eval workflow. 

Register to Attend the Workshop  OR  Register Your Interest

What you will build

Turn a blind app with no visibility into a functioning AI engineering loop. You'll work through a real TypeScript LLM agent — the Dad IT Support Agent — and instrument it from scratch using Langfuse.

By the end of the session you'll have:

  • Full trace visibility across every agent step

  • Prompts versioned and managed outside your codebase

  • A monitoring setup that catches out-of-scope requests automatically

  • A dataset + eval run you can reuse on any future change

Who is it for?

  • Engineers shipping LLM features and flying blind on what's actually happening in production

  • Tech leads evaluating observability tooling for their AI stack

  • Anyone who's asked: "How do I know if my prompt change made things better or worse?"

 

You should be comfortable reading TypeScript. No prior Langfuse experience needed.

What to prepare

If you are interested in hands-on experience, the come prepared before the session:

  • Your laptop

  • Node.js 18+ installed

  • A Langfuse Cloud account (free) — sign up at cloud.langfuse.com

  • An OpenAI API key with available credits

 

The instructor will run through the labs with you - LIVE!

Reserve your spot now.

Workshop

Build Better LLM Apps: The AI Engineering Loop with Langfuse

Tuesday 29th September | 14:00-17:00 | Marina Bay Sands

Most teams building AI features today are stuck iterating on instinct, adjusting prompts, switching models, tweaking parameters, without a reliable way to tell whether any of it is actually working. This hands-on workshop, hosted by ClickHouse, is built to close that gap.

Led by Muhammad Ali, Senior Solution Architect, this session walks engineers through instrumenting a real TypeScript LLM agent from the ground up using Langfuse. Participants will move from having zero visibility into their AI application to a fully functioning engineering loop, complete with end-to-end trace visibility, version-managed prompts, automated monitoring for out-of-scope requests, and a reusable evaluation workflow for testing future changes.

This session is built for engineers shipping LLM features who want real answers about what's happening in production, as well as tech leads evaluating observability tooling for their AI stack. Attendees should be comfortable reading TypeScript; no prior experience with Langfuse is required.

Who You Will Meet

ClickHouse Workshop

Muhammad Ali is a Senior Solution Architect with expertise in production-grade AI engineering and observability tooling. He will be leading this live, hands-on lab, guiding participants through the full process of building a functioning AI engineering loop from scratch.

Register Your Interest to ClickHouse's Workshop

Please note this form is only for indication of interest to attend the workshop. To ensure a seamless process, please also ensure you are registered for an official ticket to Big Data & AI World Asia 2026. 

As an anti-spam measure, please type the characters you see in the image (case sensitive).

 

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