Sketchnotes

Hand-drawn technical sketchnotes on RAG, agentic AI, Spring Boot, and backend engineering — visual summaries for LinkedIn and learning.

• LangChain4j 1.22.0
• Ways to Handle a Transaction
• Jev is not a chat model
• What Jev returns
• A Vibe Is Not Vibe Coding
• Java 8 to 27 — The Journey
• FDE in AI — The Roadmap
• What is a Guardrail
• GitHub Actions
• Spring Boot 3 to 4 Migration
• Classic RAG vs Agentic RAG
• LangGraph4j vs LangChain4j
• Architect Secure AI Agents
• RAG vs Context-Augmented Generation
• Python vs Java AI Tools
• Proof of Humanity
• Cursor Origin vs GitHub
• How to Think Like an AI Architect
• llmfit · right-size the local LLM
• Claude · Codex from your phone
• n8n vs LangChain4j 1.18
• Java Records · Use Them Well
• When to Vibe · When to Spec
• LangChain4j 1.18 — Builders · Domain · Observability
• Agentic Era Languages · 2026
• MCP vs Agent2Agent (A2A)
• Prompt Engineering vs Loop Engineering
• Agent Memory + MCP
• What is a Forward Deployed Engineer
• Apache Camel vs Spring Integration
• MCP Client & Server · Spring AI 2.0
• Static Analysis in Spring Boot
• RAG vs Fine-Tune
• Claude Opus 5
• Avoid Agent Hallucinations · Spring AI 2.0
• AI Hype Versus Reality
• Kimi K3 vs DeepSeek V4 Pro
• RAG with LangChain4j & Spring AI 2.0
• SQS · RabbitMQ · Kafka
• How to Become a Java AI Engineer
• AI Guardrails
• Integrate with MCP
• When to Use an Agent
• Popular AI Models in 2026
• How an AI Spec Should Look
• Java 26 Roadmap
• Microservices vs Miniservices
• AI Native Harness
• GPT-5.6
• When to Vibe · When Not To
• Grok 4.5
• Voice Agent Architecture — Hear, Think, Speak
• How LLMs Generate Text — Inference Pipeline
• LangChain4j 1.15 vs Spring AI 2.0
• RAG Pipeline vs Agentic RAG
• Engineering Profile Sketchnote
• Spring Boot 4.1