AI assisted engineering: adoption framework, main blockers, and ways forward
Talks grouped by Track
All about Getting Stuff Done right. Methodologies, better practices, testing & tools.
Title
Speakers
Track
AI Code Reality: LLMs Help But Can Hurt Quality and Security
AI Code Reviews in CI/CD: What We Learned from a $0.44 Experiment
Building Digital Signage Apps
From Idea to Website in Minutes - No Code. No Delay. Just AI.
GitOps with Flux: From Bootstrap to Multi-Cluster
Rethinking Legacy Modernization: AI-Augmented Engineering in a Real E-commerce Transformation
Software Design As Code
Test Automation as a Strategic Advantage: Opportunities and Implementation
The Developer Rhapsody
The lazy developer’s guide to observing your own code
The Pragmatic Path: Transforming Developer Experience with Agentic AI
Two sides of the same coin: How to deliver at scale; How to transform at scale
Vibe Coding vs Context Engineering vs Spec-Driven Development: When to Use Each