Daniele Antonini
Hi, I’m Daniele 👋
🔧 I’m a Head of Engineering with 15+ years of experience in backend development and DevOps — mostly in Java, but I’ve been having a lot of fun with Node.js over the past couple of years. I’ve led teams through complex challenges, building scalable systems and navigating fast-changing environments.
💡 Over the years, I’ve seen it all: unexpected pivots, hard-won victories, and plenty of tricky problems. My approach is simple — identify areas for growth, anticipate change before it hits, and solve problems at the root so they stay solved.
👥 I’m passionate about team culture. I thrive in collaborative environments where people feel empowered to do their best work. I bring strong analytical skills to the table — but I’m also very aware I don’t know everything (and that’s half the fun). I believe the journey matters just as much as the outcome.
🌍 I’m endlessly curious and love working with people from different backgrounds. I see diversity as a source of creativity — and I’m always up for exploring new ideas, especially when they challenge how we build software.
Head of Engineering
Your company –Translated
Session
AI coding assistants like Copilot, ChatGPT, and Cursor have transformed how we write software — but often in unpredictable ways. Vague prompts, inconsistent results, and scattered workflows are now part of our daily reality. The promise of AI-powered development is huge, but without structure, it's easy to fall into chaos.
In this talk, I’ll introduce User Story Matrix (USM) — an open-source CLI tool that helps developers orchestrate AI-assisted development with clarity and control. USM lets you define structured user stories, generate implementation blueprints, and guide AI tools through testable, repeatable steps.
Whether you're working solo or in a team, USM gives you a lightweight, developer-first workflow to make AI coding deliberate and scalable — not just experimental.
This talk is aimed at developers, tech leads, and AI tool builders looking to reduce noise and get real results from AI coding. You’ll walk away with a fresh mindset, a practical CLI demo, and a repeatable process to bring predictability back to your AI-assisted workflow.