A Developer's Guide in the AI Assistants Era

Buzzword or not, AI in everyday development cannot be avoided.
There is a vast and complicated tooling ecosystem that often makes it more confusing than it should be.

We are very happy to host Dimitrios Papageorgiou , Senior Solutions Architect at Amazon Web Services (AWS), who will give practical tips for the Java developer in the AI assistants era.

📍Location

• Michalakopoulou 80 street, XM
• Attendees should say they are there for the Java Athens meetup.

📆 Date & Time

• 4th of February 2026, 19:00

🗒️ Agenda

• 19:00 - Intro, Agenda
• 19:05 - A message from our sponsor - XM
• 19:20 - "A Developer's guide in the AI assistants era" by Dimitrios Papageorgiou
• 20:00 - Q&A Session
• 20:15 - Pizza 🍕 time

Main Talk:
A Developer's Guide in the AI Assistants Era
Despite the promise of agentic AI, most development teams struggle with adoption due to concerns about code quality and lack of clear implementation paths. Developers worry about hallucinations, incorrect suggestions, and whether AI-generated code meets production standards—concerns that often lead to resistance and superficial proof-of-concepts that fail to deliver value. Furthermore, teams from individual contributors to leadership roles, facing the same common issues: lack of time, pressure to ship to production, fear of the unknown, and reluctance to move from comfort zones.
Drawing from my experience as software engineer and from hands-on experience implementing agentic AI tools across multiple customer PoCs, I have worked on a path that addresses these concerns.
Whether you're a developer exploring AI tools or a team lead evaluating their potential, you'll leave with a practical roadmap for implementation, strategies to handle team resistance, and realistic expectations for what these tools can accomplish in your daily workflow