#llm
21 articles tagged llm, from AI, AI Engineering, Spring AI. Latest: “Which Claude Certification Should You Take? All 4 Compared”.
Which Claude Certification Should You Take? All 4 Compared
Associate, Developer, Architect Foundations, and Architect Professional — exam specs, domain weights, who each is for, and how to pick the right one.
Agentic AI Explained: From Prompt to Autonomous Systems
What agentic AI actually is, how the agent decision loop works, single vs multi-agent systems, the enterprise stack, real use cases, and the risks nobody skips.
I Passed the Claude Certified Developer – Foundations Exam: Here's What Actually Helped
A personal account of passing the CCA Developer – Foundations exam on my first attempt — how I prepared, what caught me off guard, and my study plan.
I Rebuilt Our AI Agents on Kafka Instead of REST — Here's the Full Java Architecture
REST between AI agents works until agent #4 shows up. The full Java/Spring Kafka topic design, the ReAct loop as a state machine, and a free audit trail.
Designing the AI Request Pipeline: 8 Layers Between User Input and Your LLM
A production architecture blueprint for every layer between a user's message and a safe, reliable LLM response — with Spring Boot code you can actually use.
AI Code Review at Scale: How We Use Claude to Review Every PR Before Humans See It
Six months, 4,200 pull requests, and a GitHub Actions workflow that catches real bugs before your team reviews. The architecture, prompt, cost, and lessons.
Feature Flags for AI: The Deployment Pattern That Saved Us From 3 Production Disasters
Why LLM features need flags more than anything you've shipped — the four flag patterns that let us swap models, A/B test prompts, and kill broken features fast.
Event-Driven AI: How Kafka Streams Changed the Way We Run LLMs in Production
From blocking HTTP calls to async event streams — the architecture shift that halved latency, eliminated 3AM pages, and lets us process 2M AI requests a day.
I Passed the Claude Certified Associate – Foundations Exam: Here's What Actually Helped
A personal account of passing the CCA Associate – Foundations exam — study approach, what caught me off guard, and why it's worth your time.
Agent Memory Patterns: How to Give Your LLM Application a Brain That Persists
Your LLM forgets everything once the request ends. How production systems build short-term, long-term, and semantic memory — with Spring AI and pgvector.
Why Most Enterprise AI Projects Die in Production (And the 5 Patterns That Actually Survive)
Why enterprise AI projects fail in production: it is rarely the model. The failures happen earlier, in scope, data, cost control and ownership.
CCA Professional Complete Study Guide: Everything You Need to Pass
A module-by-module study guide for the CCA Professional exam — all five modules, every decision table, all 12 trap patterns, and the 15-item checklist.
Claude Certified Architect – Professional: Complete Exam Prep Guide
A detailed prep guide for the CCA Professional exam — all 7 domains with weights, the master pattern behind every module, and a 4-phase study approach.
How I Passed the Claude Certified Architect – Foundations Exam: My Preparation Guide
A first-person prep guide for the CCA Foundations exam — the five domains and weights, what's on the exam, and the tips that made the difference.
Prompt Engineering Best Practices for Enterprise Teams
The prompt engineering techniques enterprise teams ship: system prompts, few-shot examples, RAG grounding, structured output, and iterating with evals.
LLM Observability in Production: Logs, Traces, and Metrics That Matter
What to measure, log, and alert on in a production LLM app — latency, token usage, error rates, retrieval quality — and the tools and patterns to get there.
Vector Database Comparison: pgvector vs Pinecone vs Qdrant
A practical comparison of the leading vector stores for RAG — pgvector, Pinecone, and Qdrant — on scale, filtering, hybrid search, ops burden, and cost.
LLM Token Budgeting: Sizing Prompts, Context, and Cost
A practical guide to budgeting tokens in LLM apps — how tokens map to cost and context limits, estimating prompt size, and keeping spend predictable.
Claude vs GPT for Enterprise: An Honest Comparison
A vendor-neutral comparison of Anthropic's Claude and OpenAI's GPT for enterprise use — reasoning, tool use, cost, data privacy, deployment, and how to decide.
Spring AI vs LangChain4j: Which Should You Choose?
A balanced comparison of Spring AI and LangChain4j for building LLM apps in Java — design philosophy, provider support, RAG, tools, and when to pick each.
How to Stream LLM Responses in Spring AI (Server-Sent Events)
Stream tokens as they're generated with Spring AI's ChatClient — SSE with WebFlux and Spring MVC, and handling errors in production.