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Coder Trainee

Experienced in Java and Python, we share and learn together. For submissions or collaborations, DM us.

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Latest from Coder Trainee

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Coder Trainee

Jun 12, 2026 · Artificial Intelligence

From Solo to Team: Multi‑Agent Collaboration with AutoGen, CrewAI, and LangGraph

This article explains why a single AI agent often falls short for complex tasks, outlines the benefits of multi‑agent collaboration, compares common architecture patterns, and provides hands‑on examples using AutoGen, CrewAI, and LangGraph, followed by a real‑world customer‑service team case and best‑practice guidelines.

AI agentsAutoGenCrewAI

0 likes · 14 min read

From Solo to Team: Multi‑Agent Collaboration with AutoGen, CrewAI, and LangGraph

Coder Trainee

Jun 11, 2026 · Artificial Intelligence

Deep Dive into Function Calling for AI Agents: Enabling External Tool Integration

This article explains the concept of Function Calling in large language models, walks through defining function schemas, shows step‑by‑step API call flows, demonstrates multi‑tool orchestration, parallel execution, tool‑chain composition, and integrates Function Calling with LangChain, while providing best‑practice guidelines and code examples.

AI agentsFunction CallingLangChain

0 likes · 16 min read

Deep Dive into Function Calling for AI Agents: Enabling External Tool Integration

Coder Trainee

Jun 10, 2026 · Artificial Intelligence

Building Production‑Ready RAG with Vector Databases: Deep Dive into Chroma, Pinecone, Milvus and Optimizations

This article explains why Retrieval‑Augmented Generation is needed, compares popular vector databases, provides step‑by‑step Docker and Python examples for Chroma, Pinecone, and Milvus, and shows how to optimize a full RAG agent with hybrid search, reranking, and caching.

CacheChromaHybrid Search

0 likes · 20 min read

Building Production‑Ready RAG with Vector Databases: Deep Dive into Chroma, Pinecone, Milvus and Optimizations

Coder Trainee

Jun 9, 2026 · Backend Development

Building Java AI Agents with Spring AI: A Hands‑On Guide

This article walks Java developers through using Spring AI to build AI agents, comparing it with Python's LangChain, detailing architecture, environment setup, prompt templates, tool integration, RAG implementation, production‑grade features, and a side‑by‑side feature comparison.

AI agentJavaLangChain

0 likes · 17 min read

Building Java AI Agents with Spring AI: A Hands‑On Guide

Coder Trainee

Jun 8, 2026 · Artificial Intelligence

Rapidly Build AI Agents with LangChain: A Hands‑On Tutorial

This article walks through why LangChain is the leading framework for AI agents, compares it with low‑level implementations, and provides step‑by‑step code examples for installation, prompt templates, LCEL pipelines, memory modules, RAG, custom tools, and a complete customer‑service agent, concluding with a concise feature comparison.

AI agentsLLMLangChain

0 likes · 14 min read

Rapidly Build AI Agents with LangChain: A Hands‑On Tutorial

Coder Trainee

Jun 7, 2026 · Artificial Intelligence

AI Agent Deep Dive: Understanding Planning, Memory, Tools, and Action

This article revisits the AI Agent architecture and provides a detailed analysis of its four core components—Planning, Memory, Tools, and Action—covering mainstream planning strategies, memory types, tool specifications, and execution loops, accompanied by concrete LangChain code examples that demonstrate building a fully integrated multi‑component agent.

AI agentLangChainMemory

0 likes · 12 min read

AI Agent Deep Dive: Understanding Planning, Memory, Tools, and Action

Coder Trainee

Jun 6, 2026 · Artificial Intelligence

What Is an AI Agent? From Large Language Models to Autonomous Agents

This article explains why large language models are powerful yet limited, defines AI agents as autonomous systems that combine a model, memory, tools, and actions, details the ReAct reasoning‑and‑acting loop, provides a 30‑line Python LangChain example and a Java Spring AI implementation, and outlines five practical use‑case scenarios and the roadmap for the series.

AI agentJavaLangChain

0 likes · 10 min read

What Is an AI Agent? From Large Language Models to Autonomous Agents

Coder Trainee

Jun 6, 2026 · Backend Development

Spring Cloud Message‑Driven Part 5: High‑Availability RocketMQ Deployment & Message Tracing

This tutorial walks through deploying a highly available RocketMQ cluster with Docker Compose, configuring master‑slave brokers, enabling message tracing, integrating Prometheus‑Grafana monitoring, setting up Spring Boot HA properties, applying performance tweaks, validating failover, and troubleshooting common issues.

Docker ComposeGrafanaHigh Availability

0 likes · 16 min read

Spring Cloud Message‑Driven Part 5: High‑Availability RocketMQ Deployment & Message Tracing

Coder Trainee

Jun 5, 2026 · Backend Development

Implementing Ordered Messages and Dead Letter Queues with Spring Cloud and RocketMQ

This article explains why message ordering is critical for order‑state flows, demonstrates how to use RocketMQ's ordered messaging and dead‑letter queue features in a Spring Cloud project, shows the full project structure, provides runnable code, testing steps, performance numbers, and common pitfalls.

Spring BootSpring Clouddead-letter-queue

0 likes · 21 min read

Implementing Ordered Messages and Dead Letter Queues with Spring Cloud and RocketMQ

Coder Trainee

Jun 3, 2026 · Cloud Native

Unified Messaging with Spring Cloud Stream: One Codebase for Multiple MQs

This article demonstrates how Spring Cloud Stream provides a unified programming model that decouples business logic from the underlying message broker, allowing a single codebase to work with RocketMQ, Kafka, or RabbitMQ by only changing configuration, and walks through project structure, implementation, conditional routing, MQ switching, testing, and common pitfalls.

JavaKafkaMessage-driven

0 likes · 19 min read

Unified Messaging with Spring Cloud Stream: One Codebase for Multiple MQs