Trilha AI & EMERGING TECH

(trilha em inglês / track in English)

O que é uma trilha?

A trilha é um evento híbrido, presencial em São Paulo e remoto na sua casa, que tem a duração de um dia inteiro com sete palestras e um painel de discussão.

Data e Local

Quinta-feira, 18 de Setembro de 2025

09h às 19h

ProMagno
Avenida Professora Ida Kolb - 513 /
Jardim das Laranjeiras São Paulo - SP
ACESSO PRESENCIAL OU REMOTO COM TRANSMISSÃO ONLINE

Inscreva-se e ganhe

Faça sua inscrição em qualquer trilha Premium presencial e ganhe um workshop Bônus e uma mentoria bônus no mesmo dia! Mas não perca tempo pois as vagas são limitadas.

Confira a lista completa de workshops.

Inscreva-se na trilha e ganhe um workshop bônus

Confira a lista completa de mentorias.

Inscreva-se na trilha e ganhe uma mentoria bônus

Você também ganha acesso Premium à TDC Community por um ano, com acesso a workshops e mentorias semanais.

Inscreva-se na trilha e ganhe um ano de acesso Premium à comunidade

Investimento

Inscrição online
1 trilha: de R$ 305 por R$ 186

Inscrição online
1 trilha: de R$ 305 por R$ 275

Inscrição online
1 trilha: R$ 305

Inscrição híbrida (presencial + online)
1 trilha: de R$ 490 por R$ 310
2 trilhas: de R$ 840 por R$ 560
3 trilhas: de R$ 1.180 por R$ 790

* aproveite maior desconto até 21/07, veja tabela completa

Inscrição híbrida (presencial + online)
1 trilha: de R$ 490 por R$ 420
2 trilhas: de R$ 840 por R$ 730
3 trilhas: de R$ 1.180 por R$ 1.070

* preço válido até 26/08, veja tabela completa

Inscrição híbrida (presencial + online)
1 trilha: R$ 490
2 trilhas: R$ 840
3 trilhas: R$ 1.180

* preço válido até 19/09, veja tabela completa

Programação / Palestras Time Zone: GMT-3 Inscreva-se!

Programação Stadium:

08:00 às 08:55

Credenciamento

09:00 às 10:00

Abertura do evento e mini keynotes
Programação desta Trilha:

Abertura da trilha pela coordenação

10:10 às 10:25

Aqui os coordenadores se apresentam e fazem uma introdução para a trilha.

Local Development in the AI Era

Kevin Dubois Dubois (IBM)

10:30 às 11:05

Most of us like to do local development. It means we?re in control of any dependencies, network issues/latency, configurations and cost. And we love to say that ?It works on my machine? don?t we? ?? Now, with the advent of AI-driven development, it has become more challenging than ever before to do pure local development.

In this session we?ll take a look at various solutions to continue to do local, network-optional development, even with AI:

  • Run AI models locally.
  • Evaluate different code assistants that can work with these locally running models
  • Explore how to infuse AI capabilities from local models into our code

Developer productivity for GenAI apps

Eddú Meléndez (Docker)

11:15 às 11:50

The GenAI landscape has grown a ton in the last year with many technologies and approaches that application developers must master to include AI in their end-user and enterprise apps. However, more focus must be put into enabling standard software development workflows: testing, ensuring RAG correctness and efficiency, local development environment and CI setups, and security of LLM artifacts. In this session, we look at how application developers can integration test their GenAI apps with local models, augmented with RAG both locally and in CI. You'll learn how the setups for GenAI apps in the inner development loop can be programmatically managed.

Dapr - Solving the challenges of Distributed Systems

Matheus Cruz (Itaú Unibanco) / Mauricio Salatino (Diagrid)

11:55 às 12:30

Building distributed systems doesn't have to be complex. In this session, you'll learn how Dapr (Distributed Application Runtime) can streamline microservices development by abstracting common concerns like service invocation, state management, pub/sub, and security. We'll explore how Dapr integrates with the Cloud-Native ecosystem and how it helps you focus on business logic instead of boilerplate infrastructure code.

Intervalo para almoço

12:30 às 13:50

The Future of AI is Event-Driven: Building Reactive and Scalable Multi-Agent Systems

Daniel Takabayashi (Confluent Inc)

13:50 às 14:25

With the rise of LLMs, AI Agents have become a reality. The next challenge lies in orchestrating complex multi-agent systems. But is the traditional Request-Response paradigm up to the task?

In this talk, we'll explore this model's limitations and present Event-Driven Architecture (EDA) as the key to building truly reactive, scalable, and resilient AI ecosystems.

Learn how to leverage events to decouple your agents and create future-proof autonomous systems. This is a session focused on software architecture for the age of AI.

Painel de Discussão

14:30 às 15:30

Painel desta Trilha

Networking e Visitação a Stands

15:35 às 15:50

Raising Young Coders

Cassandra Chin (Student)

15:55 às 16:30

Teaching kids programming at a young age is really important to improve diversity in the field of computer science. Studies show that after middle school most students have already made up their mind about a career in computers, so having a positive introduction to computers at a young age is really important. I teach workshops for underprivileged kids around the world at events like CNCF Kids Day and want programming to be fun and engaging just like how I learned to program. I will share some of the techniques I use to get kids excited about technology, which you can use to teach your own kids or others.

Supercharge agentic AI apps: A DevEx approach to cloud-native scaffolding

Daniel Oh (IBM)

16:35 às 17:10

This session will demonstrate live how this framework speeds up the development of agentic artificial intelligence (AI) applications. Key features include automated code generation, pre-configured infrastructure, and integration with popular AI libraries. These tools help developers reduce set-up time and focus on building intelligent functionality.

By the end of this session, you will understand how cloud-native scaffolding streamlines agentic AI development. You?ll gain practical knowledge that will help you use these tools to build intelligent agents faster and more effectively.

Applying the OWASP Top 10 to Agentic System Security

Anna C S Medeiros (Airia)

17:15 às 17:50

Agentic AI can automate complex workflows, but without proper safeguards, these agents risk exposing credentials, leaking sensitive data, or behave unpredictably. In this talk, I will show you how to apply the OWASP Top 10 for LLMs to agentic systems. What you will learn: 1. How to map agentic-specific threats (e.g., prompt injection, system-prompt leakage, unbounded resource consumption). 2. Key technical controls: input/output validation, least-privilege credential management, and human-in-the-loop checkpoints. 3. Best practices for adversarial testing and real-time logging to detect anomalous agent behavior.

Agentic GraphRAG: AIs Logical Edge

Stephen Chin (Neo4j)

17:55 às 18:30

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems.

Programação no final do dia:

18:30 às 18:35

Encerramento da trilha

Os coordenadores fazem um breve encerramento com agradecimentos.

Programação sujeita a alterações

Coordenação Trilha AI & EMERGING TECH

Bruno Souza
CODE 4.LIFE
Andre Noel
The Developer's Conference

Patrocinadores