AJaiCodes

Sub-millisecond pause times aren't a myth anymore. ⚡️ JDK 21 brought massive improvements to ZGC and Shenandoah. If you're still on default settings, you're leaving performance on the table. My deep dive into G1, ZGC & Shenandoah is live: ajaicodes.com/articles/java-… @java #JVM #JDK

Java is not slow. Your scalar loop is. Project Panama's Vector API = SIMD in pure Java. 8× faster cosine similarity. No JNI. No GPU. No Python. I wrote a deep dive about it → ajaicodes.com/articles/vecto… #Java #VectorAPI #AI #JVM @java @springframework #ProjectPanama #NoPython

Integrating LLMs into Java? Don't call vendor APIs directly. Spring AI gives you ChatClient, RAG, vector stores & guardrails — all inside your existing Spring Boot service. Swap providers without rewriting code. That's the architectural edge.🧵ajaicodes.com/articles/sprin… #SpringAI

I wrote the deep dive Java engineers actually need: ✅ ChatClient API walkthrough ✅ RAG architecture with code ✅ Guardrails & structured outputs ✅ Observability patterns ✅ Production deployment architecture 👇 ajaicodes.com/articles/sprin… #SpringAI #Java #LLM #SpringBoot #RAG

What nobody tells you about LLMs in prod: 💸 Token usage = real money at scale 🔀 Model drift after provider updates ⏱ Latency that breaks your SLA assumptions 🔒Vendor lock-in hiding in your HTTP client Spring AI's abstraction layer protects you from all four.

Every Java team is being asked the same question right now: "When are we adding AI to our services?" Here's how to do it without losing your sanity. 🧵

I wrote the full deep dive: ✅ How DJL works internally ✅ Inference walkthrough ✅ Training a model in pure Java ✅ Production deployment patterns 👇 ajaicodes.com/articles/deep-… #Java #DJL #MachineLearning #JVM #SpringBoot #AI

DJL isn't just for demos. Spring Boot REST API → DJL → PyTorch model Batch jobs. Streaming inference. GPU acceleration. Enterprise-grade ML inside your existing Java microservices.

Java devs have been told for years: "ML? That's Python territory." That's no longer true. 🧵

Java + ML without Python. Finally. Deep Java Library (DJL) lets you run PyTorch & TensorFlow models directly in your Java services. Full guide 👇 ajaicodes.com/articles/deep-… #Java #DJL #AI #JVM

If you work in Java/Spring and are exploring AI integration, this may be useful.

I wrote a deep dive exploring this shift and what it means for Java developers and architects. Read here 👇 ajaicodes.com/articles/java-…

AI isn’t just a Python story anymore. The JVM ecosystem is rapidly evolving for enterprise AI. Here’s what’s happening 👇

If you work in Java/Spring and are exploring AI integration, this may be useful.

Python may train most AI models… but Java is increasingly running them in production. The JVM ecosystem is rapidly evolving with tools like Spring AI, LangChain4j, and ONNX Runtime. I explored how Java is becoming a serious AI platform 👇 ajaicodes.com/articles/java-…