Vibe Coding

Vibe Coding

24 JUNE
25 JUNE
26 JUNE
I Patagarri - Live Concert I Patagarri - Live Concert
Valerio Lundini & I Vazzanikki - Live Concert Valerio Lundini & I Vazzanikki - Live Concert
Dardust - Live Concert Dardust - Live Concert
Ditonellapiaga - Live Concert Ditonellapiaga - Live Concert
N.A.I.P. - Live Concert N.A.I.P. - Live Concert
Opening Ceremony Opening Ceremony
26 june 11:50 - 12:20
30 min
I tried letting AI build a complete app overnight while I slept, providing the project specifications and tracking task progress as if it were a traditional team. The result was better than I expected. In this talk, I will show you the method I use every day to create complex projects with AI—from prototyping and design to actual development and validation—while avoiding security loopholes. We will explore this through real-world examples from professional app developers to understand why "Vibe Coding" today is much more than just asking an AI to "build me an app."
26 june 12:30 - 13:10
40 min
Vibe coding has changed everything, but most teams are using it the wrong way. What does it really mean to move from “asking AI for code” to managing agents that work for you? This talk explores workflows that genuinely boost productivity, the most common mistakes that turn speed into technical debt, and what sets apart those who use AI as a multiplier from those who simply generate code and hope it works
26 june 14:30 - 15:00
30 min
Vibe coding is here. AI-generated code is everywhere. And many organizations are responding by cutting Junior developer roles — a short-sighted strategy that will backfire. This session challenges that assumption and presents an alternative framework: rather than eliminating Junior roles, evolve them into a critical new function — the expert AI code reviewer. The talk explores why AI-generated code (from Copilot, Claude, Gemini, and others) is still frequently low-quality, incorrect, or incomplete on the first try; why blindly trusting it is a strategic mistake; and how Junior developers, trained properly, can become the human layer that ensures code quality and reduces the senior-level firefighting caused by unreviewed AI output. A real consulting case study underpins the framework. Learning Outcomes: Attendees will understand a concrete workforce strategy for the AI coding era: how to evolve (not cut) Junior talent, what the "AI code reviewer" skill set looks like and how to train it, why this model is more cost-effective than full Senior reliance, and how it future-proofs the organization regardless of how AI coding tools evolve. This is immediately actionable for engineering leads, CTOs, and people managers navigating the AI transition.
26 june 15:20 - 15:50
30 min
Generating code via chat is fine for prototypes, but in real projects it leads to hallucinations and technical debt. Debugging AI now often takes more time than writing code itself. The industry is moving toward Spec-Driven Development (SDD). In this talk, we will explore how to replace vague prompts with structured specifications written in Markdown. You will learn how to define clear contracts to govern AI agents, reduce context rot, and produce verifiable code on the first attempt—stopping the need to rewrite everything from scratch.