Create an AI-driven Kubernetes Operator that analyzes failures, generates fixes with LLMs, validates them with OPA, and applies changes safely via GitOps.
Agentic AI is fundamentally changing how organizations extract insights from data and make strategic decisions, moving from reactive reporting to autonomous intelligence.
Use LangGraph workflows that get their intelligence from RAG search, enhanced with MCP tools for live external data, and LaunchDarkly AI Configs—all without code changes.
Top-down defines the "what"; bottom-up builds the "how." OOP and SOLID enable flexible, reusable design. AI helps, but only with a clear structure and context.
The focus is on the ethical, cultural, and strategic choices necessary to guide AI as a partner, ensuring we preserve human uniqueness while collaborating.
In October 2025, Devoxx Belgium showcased its 22nd edition, emphasizing Java and AI advancements. Sessions covered were AI workflows, architecture decisions, and more.
Build secure, human-in-the-loop AIOps workflows using agentic AI for smart alert triage, context summarization, and automated, safe incident resolution.
Learn how to cut observability tool sprawl, adopt OpenTelemetry, and build a vendor-neutral, AI-ready observability stack for reliability at scale in 2025.
AI and ML are transforming cybersecurity with adaptive defenses, predictive analysis, and automation, shaping a smarter, more resilient digital future.