Claude Code Experts: Why does AI fail in Java teams?
Event PAST

Claude Code Experts: Why does AI fail in Java teams?

26 February Online

About this event

REGISTER HERE!

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/

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.