Abstract
Developers today are not just writing code, they’re orchestrating complex systems, managing pipelines, and maintaining reliability at scale. But when observability starts too late in the lifecycle, teams are left reacting instead of building. The future lies in shifting left, where observability, automation, and AI converge to accelerate innovation and elevate Developer Experience.
In this session, we’ll explore how AI-driven development and Agentic AI into the engineering workflow. By embedding intelligent observability and automation early in the SDLC, developers gain proactive insights, self-healing pipelines, and context-aware assistants that act before issues reach production.
You’ll learn how AI can detect anomalies during build and test phases, trigger automated remediation, and provide real-time feedback loops that keep velocity high and incidents low. The result: fewer manual tasks, faster delivery, and more time for developers to focus on creativity and code quality.
Join us to see how shifting observability left with the power of AI Driven Development transforms software delivery from reactive operations to autonomous, developer-driven innovation.
Speaker
Leo Sanches
Solutions Architect @Snowplow
Previously in Software Engineering for 25 years, Leo Sanches works in the pre-sales side, helping customers to map and achieve their business outcomes, think and build solutions, and consolidate scalable and reliable applications.
Leo has led courses in Software Engineering, CI/CD, Applications Architecture and Cloud at internal workshops for different companies.
Session Sponsored By
Turn Customer Behavior Into Competitive Advantage
Video is not available
