Designing the Developer Experience in the Agentic Era
AI coding agents are advancing quickly, but turning them into reliable, production-ready systems remains one of the hardest challenges in modern engineering. In this session, we’ll share the ongoing journey of building Globant CODA, our AI coding agent, and the architectural decisions and engineering principles that have shaped its evolution.
You’ll see how iterative learning led us through two major refactorings, why we prioritize code quality over short-term speed, and how dogfooding Globant CODA became a core development practice that exposes issues early and accelerates improvement. We’ll also explore how an AI-first team culture emerged naturally, with AI assisting across the entire development lifecycle, from triage and design to debugging and code review.
You’ll leave with a clear, practical view of what it truly takes to build advanced AI developer tools in a rapidly evolving landscape, and insights you can apply to your own agentic engineering efforts.
23 min
Testing Transformed: Why the Future of QA is Agentic
Quality assurance has always been about trust, but in an AI-native world, it’s about evolution. Traditional testing models can’t keep up with today’s development velocity, creating friction between innovation and reliability.
This talk reveals how Globant CODA is leading the shift from manual and automated testing toward Agentic QA, where intelligent Agents plan, execute, and analyze tests alongside humans. Learn how this new approach strengthens quality, boosts efficiency, and closes the gap between code and confidence.
Attendees will gain practical insights into how Agentic QA redefines software testing, empowering teams to deliver faster, smarter, and more resilient digital products.
15 min
From Spark to Strategy: Defining Products in the Agentic Era
Great products begin with a spark, but transforming that spark into structure is where innovation often slows down. As organizations strive for speed and clarity, product teams face endless meetings, fragmented notes, and delayed definitions that hold back delivery.
In this session, we’ll explore how Globant CODA is reimagining Product Definition through Agentic AI. You’ll discover how the Product Definition AI Agent transforms unstructured discussions into actionable artifacts, reducing cycle times and aligning teams around a shared vision.
You’ll leave with a clear view of how AI can turn collaboration chaos into momentum, enabling product teams to move from idea to backlog with precision and speed
8 min