Claude Code Experts: Why does AI fail in Java teams - and how to make it production-ready? | Maciej Król | Agile Product Builders in 25 minutes

You’re not questioning whether AI belongs in your SDLC process. But we all know: there’s a big gap between AI demos and the reality of large backend systems.

2026 is no longer the time to question whether it makes sense to implement AI into the development process. Now we all know – from individual engineers, through teams, leaders, and boards – that it makes sense from a process, financial, and team composition perspective.

Having worked on enterprise backends for over 20 years and being AI-native engineers, we invite you to join us for a 25-minute session where we will share our best practices: 

• How to ensure predictability and control of AI in large systems 

• Practical use cases of AI in daily engineering work (help with refactoring, testing, and code reviews) 

• How to safely implement AI in production (without risking quality and performance) 

• How to scale AI within an organization (from pilot projects to full adoption, building standards) 

• Dealing with skepticism and resistance to AI 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 software development, primarily in Java-based systems, and an AI practitioner.

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