​An event where we talk about all things AI Engineering, Tooling and Open Source.

​​Agenda

​​​​​​🕒 1:30 pm – 2:00 pm
Registration

​​​​​​🕒 2:00 pm – 2:05 pm
Welcome and Opening Remarks

​​​​​​​🕒 2:05 pm - 2:30 pm
Keynote "Building Infrastructure for AI Agents"

​🎤 Ivan Burazin, Co-Founder and CEO at Daytona

​​​AI coding agents today are constrained by primitive infrastructure, limited to basic file operations with no access to runtime or output context—resulting in poor outcomes as agents can only assume their suggestions are correct. This talk will dive into the challenges agents face due to these limitations, explore how we can overcome them, and demonstrate how this unlocks the true potential of AI coding agents.

​​​🕒 2:30 pm - 2:50 pm
Using Firebase Studio for Go Backends: AI Assistance with Gemini

​​​​​​🎤 Jesslyn, Senior Backend Engineer at EDTS | Firebase Indonesia Contributor

​Explore how Gemini AI within Firebase Studio can streamline your Go backend development. This talk will cover technical insights on leveraging AI for code generation, error analysis, prompt suggestions, and refactoring, and how these tools can improve backend workflows.

​​​🕒 2:50 pm - 3:10 pm
Using Firebase Data Connect to create Unified Query Layer for golang

​​​​​​🎤 Faiz Authar, Backend Engineer @Depoguna Bangunan Online | Firebase Indonesia Contributor

​Explore how firebase Data Connect can help unified multiple source of database(Firestore and PostgreSQL). This talk will demonstrate how do we combine Firestore and PostgreSQL query into Unified Query that can improve development process.

​​​🕒 3:10 pm - 3:30 pm
Optimize Cloud Cost for Production-Ready Retrieval AI Infrastructure using Firestore and Vector Store

​​​​​​🎤 R Surahutomo Aziz Pradana, Google Developer Expert AI/ML & Firebase

​Deploying a scalable retrieval-augmented generation (RAG) system often comes with high cloud costs if not carefully designed. In this session, we’ll explore how to build cost-efficient AI infrastructure by leveraging Firestore as a metadata store and integrating it with vector databases for semantic search. You’ll learn about architecture patterns, storage-query balance, and embedding lifecycle management to minimize cloud spend without sacrificing performance.

​More speakers may be revealed soon!

​​​​​​​​🕒 3:30 pm - 4:00 pm

​​​Networking

​​With snacks and beverages at Networking Area