CrAIg Walls
@habuma
Java Champion / Alexa Champion / Author of “Spring AI in Action”, “Spring in Action” & “Build Talking Apps for Alexa”/ Disney Parks Fanatic/ tabletop games player.
Whiteboard sketches are great, but do they match the graph your code actually builds? This recipe shows how to generate diagrams directly from a Spring AI Alibaba CompiledGraph. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #AgenticAI #GraphEngineering
The 2nd day of my brief 2 day WDW trip finds me hanging out with these gents…
Your chat memory isn't limited to JDBC. This Spring AI Recipe shows how to persist conversations with Redis, Cassandra, and MongoDB using Spring Boot auto-configuration. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #Redis #MongoDB #Cassandra
Keep your AI's memory alive across restarts. Learn how to persist Spring AI chat memory with JDBC and PostgreSQL so conversations survive and can be shared across application instances. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #PostgreSQL #JDBC #LLM #GenAI
Last night, @dhinojosa.bsky.social , @dashaun.com , @mgrygles.bsky.social , and I played Fantastic Factories. It was the first time playing it for all of us, so there was some learning along the way. But I think we all agreed that it lived up to the word “Fantastic” in its name. #NerdsPlayingGames
In this recipe, you’ll learn how to invoke an Embabel agent directly from Java code, making it easy to integrate intelligent, goal-oriented behavior into any Spring application. medium.com/@thetalkinga... #SpringAI #Embabel #Java #SpringBoot #AgenticAI #AI
Keyword filtering is fast, but it’s also easy to fool. In this recipe, you’ll build a semantic guardrail for Spring AI that uses an LLM to recognize forbidden topics. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #LLM #Guardrails
SafeGuardAdvisor blocks risky prompts. Now block risky responses. Build a custom Spring AI advisor that filters LLM output before it reaches your application. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #SpringAIRecipes #LLM #Guardrails
A system prompt can ask an AI to stay within certain boundaries, but it can't enforce them. In this recipe, you'll learn how Spring AI's SafeGuardAdvisor stops forbidden prompts before they ever reach the LLM. medium.com/@thetalkinga... #SpringAI #Java #LLM #Guardrails
Three months ago I started the Spring AI Recipes series. Since then I've published 35+ hands-on recipes covering Spring AI, MCP, agents, Embabel, graph workflows, and more. Starting this week, the series moves to a Monday/Thursday schedule. Thanks for following along! 🌱
Why limit your application to a single LLM? In this recipe, we'll configure Spring AI to talk to multiple AI providers and choose the right one at runtime. medium.com/@thetalkinga... #SpringAI #SpringBoot #Java #LLM #OpenAI #Anthropic
As Embabel agents grow, a single class full of action methods can become hard to navigate. This recipe shows how to model an agent's workflow, making each phase easier to understand and extend. medium.com/@thetalkinga... #SpringAI #Java #Embabel #AIAgents #AgenticAI
Sometimes the smartest thing an AI agent can do is admit it doesn’t know. In this recipe, you’ll learn how to pause an Embabel agent, ask a human for clarification, and then continue toward its goal with the new information. medium.com/@thetalkinga... #SpringAI #Embabel #AIAgents #HumanInTheLoop
Learn how to use ElevenLabs with Spring AI, unlocking a vast library of high-quality voices that can give your application its own unique personality. medium.com/@thetalkinga... #SpringAI #Java #ElevenLabs #VoiceAI #GenAI
Talking to an AI application feels surprisingly natural, until it answers with a wall of text. In this recipe, you’ll enable your Spring AI application to speak its responses aloud. medium.com/@thetalkinga... #SpringAI #Java #SpringBoot #OpenAI #VoiceAI #TextToSpeech
Why type your prompts when you can just say them out loud? In this recipe, we'll add voice input to our chat loop by recording audio from the microphone and transcribing it into text with Spring AI. medium.com/@thetalkinga... #SpringAI #Java #SpeechToText #VoiceAI #GenAI
From my Spring AI "Test Kitchen": Traditional RAG retrieves context for every question, whether it’s needed or not. In this recipe, we'll let the LLM decide whether or not to query the vector store. #SpringAI #RAG medium.com/@thetalkinga...
LLMs know a lot, but they don't know everything. With RAG, you can teach an AI about documents it has never seen before without retraining a model. #SpringAI #RAG medium.com/@thetalkinga...
Semantic caching can use any vector store. If you’re already using a vector store such as Qdrant, you can use it to speed up semantically similar requests and reduce token usage without adding another database to your stack. #SpringAI #Java #SemanticCaching #VectorStore medium.com/@thetalkinga...
Over the past two months I've published more than 20 Spring AI recipes. If you've missed any, here's the complete collection: www.habuma.com/springaireci... I'm excited about a few of the recipes coming next week, including one from my "Test Kitchen" showing something I've been experimenting with.
Not every cache hit requires an exact match. With semantic caching, Spring AI can recognize when two differently worded questions mean the same thing and serve a cached response instead of calling the LLM again. #SpringAI #AI medium.com/@thetalkinga...
A well-stocked toolbox is useful. That is, until you have to dig through dozens of tools to find the one you need. The same is true for MCP servers, where exposing fewer tools can often make an AI application faster, cheaper, and more focused. #SpringAI #MCP medium.com/@thetalkinga...
Not every tool can return a result immediately. When an MCP tool needs extra time to complete, progress notifications allow the server to keep the client informed, providing visibility into long-running operations and a better overall user experience. #SpringAI #MCP medium.com/@thetalkinga...
MCP tools don't always have everything they need to do their job. With MCP Elicitation, a tool can pause, gather additional context from the client, and then continue with a more complete understanding of the task at hand. medium.com/@thetalkinga... #SpringAI #MCP
