Agenda

Check out the different topics, each representing a single block of talks and sessions to guide you through the program of DevTalks! We look forward to welcoming you to the event and providing you with an unforgettable learning and networking experience in the world of technology.

Cloud Future of Engineering QA Testing Security Product IoT AI Agents AI Systems APIs Agentic AI Automation Backend Career Growth Clean Architecture Clean Code Community Impact Data Java LLM Legacy Software Microservices Programming Q&A Systems Real case studies Skill Growth Software Development Software engineering Technical Leadership Vibe Coding Vue Open Source Kubernetes Artificial Intelligence Machine Learning Web Generative AI Mobile DevOps
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Great community leaders will share the latest trends about future technologies on our stages. Join us!

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14:00 to 14:45

Think. Act. Repeat. — Agentic AI with Microsoft Foundry

Main Stage | Day 1 — 45 minutes Clean Code Agentic AI

AI agents don't just answer questions — they think, act, and keep going until the job is done. Read More...

Radu Stefan [AI Business Consultant — Avaelgo]

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11:05 to 11:35

AI generated Code Without Java Fundamentals

Java Stage — 30 minutes Java Clean Code AI Agents

When you ask an AI agent to build a Spring service, where does validation live? In the entity? The service layer? The controller? In a codebase with weak fundamentals, the answer is unclear - and the AI reflects that confusion back at scale. Read More...

Alexandru Oancea [Full stack Developer — AD/01]

15:25 to 16:00

Architecture Under Fire: The Decisions Nobody Tells You About

Java Stage — 35 minutes Java Clean Code Clean Architecture

Architecture books teach you patterns. They don't teach you how to choose between them when you're under pressure, facing incomplete information, and living with real consequences. Read More...

Mihaela Gheorghe-Roman [Software Architect — Systematic]

14:50 to 15:20

A Human Story About E-Commerce, Data Chaos, Momentum, and AI

Web Stage — 30 minutes Artificial Intelligence Data

This is a story about what happens when a messy data problem becomes a human one. Inside an e‑commerce platform full of ambiguity, slow movement, and filter chaos, AI didn’t replace the team, it changed how the team moved. Read More...