Architect-Grade Java with LLMs

Hands-on workshop on architect-grade, LLM-assisted Java — ship maintainable, well-tested code, not vibe code. One day of coding, debating and shipping Java with Adam Bien (linkedin.com/in/adam-bien). Five years online. Now back at MUC, in person. A small cohort, one full day, and a repository you keep. This is an advanced, hands-on workshop on architect-grade, LLM-assisted Java development — using LLMs and agents to ship maintainable, well-tested Java without slipping into vibe coding. Learn how to (checkout full agenda: https://airhacks.university): What you'll learn Agents, subagents, context, LLMs, MCP, tools, skills, agents and agent memory (...) basics / introduction Developer / LLM synergy: who does what Effective communication with domain experts and product owners Bridging domain experts and Java implementation Requirements clarification with stakeholders From specs to working Java code Spec-driven development for Java and Web Platform projects LLM-native architectures, planning and design Scaling LLM-driven development to large systems The LLM impact on architectural principles: • Rethinking DRY and DIE in the LLM era • YAGNI and KISS in LLM-generated code • Separation of Concerns with LLMs • Maximal Cohesion, Minimal Coupling: why cohesion beats coupling in the context window • Information hiding as a context-window strategy • Reusability and modularization in LLM-first projects • Do hexagonal architectures survive LLMs? • Do we still need microservices? Continuous improvement workflows for Java teams Continuous review of generated Java code Continuous compliance with architectural rules Unit-, Integration- and System Testing with LLMs Capturing architectural rules with Skills Creating efficient AGENTS.md Hyperproductivity without sacrificing maintainability Refactoring with continuous test feedback Using specialised sub-agents to improve code quality Capturing best practices as executable hooks MCP integrations for Java workflows Reusing Skills and sub-agents for recurring tasks Understanding token economics and reducing inference costs Unorthodox LLM-first approaches for security, maintainability and productivity ...(TBD) Full agenda: https://airhacks.university