Claude Code Experts: Why does AI fail in Java teams?
Details
I in your SDLC? There’s no longer any doubt! But what about the reality of large backend systems? 🤔
2026 is no longer the time to question “if” – we all know now that AI makes sense in software development, not just from a financial perspective, but also from a process and team standpoint. 💡
Things get tricky when it comes to complex backend systems, where implementing AI means adapting it to your scale, stack, and delivery constraints.
Want to learn how to make it work in practice? Join us for a 25-minute session where we’ll share our best practices! 💥
What will we cover?
✅ How to ensure predictability and control of AI in large systems
✅ Practical AI use cases in daily engineering work (refactoring, testing, code reviews)
✅ How to safely implement AI in production (without compromising quality and performance)
✅ How to scale AI within an organization (from pilot projects to full adoption)
✅ Dealing with skepticism in development teams – whether you’re an engineer or leading the team
💬 The session will be led by Piotr Majchrzak, co-CEO of Boldare, with special guest Maciej Król, Senior Software Engineer at Boldare, with over 8 years of experience in Java-based systems and an AI practitioner.
👉 Join the Agile Product Builders Community:
https://www.boldare.com/apb-community-newsletter/