Architect-Grade Java with LLMs

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