#Redis principles
102 related articles
·2 min
Why System Architects Are Becoming the Most In-Demand Tech Talent in the AI Era
A veteran architect with 10+ years of experience reveals: in the AI coding era, the real scarcity isn't people who write code — it's people who design great systems.
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·2 min
Spring AI Alibaba Graph in Action: Build an HR Recruitment Workflow Agent from Scratch
Build a full HR recruitment Workflow Agent with Spring AI Alibaba Graph: résumé scoring, interview generation, Human-in-the-Loop, and state rollback across 20 technical concepts.
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·3 min
LangChain4j Getting Started Guide: A Java Engineer's Fast Track to AI Application Development
LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.
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Frieve Vinyl: How Microscopic Physical…
·3 min
Frieve Vinyl: How Microscopic Physical Simulation Recreates the Mechanics of a Vinyl Stylus
Frieve Vinyl digitally recreates vinyl playback through microscopic stylus/groove physics simulation. Explore stylus geometry, contact mechanics, and tracking distortion.
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·3 min
Programs as Data Flow: Rethinking Architecture Paradigms Through Building a 3D Editor in C++
A developer builds a 3D editor from scratch in C++, modeling programs as dataflow graphs rather than object collections. Exploring dataflow vs. OOP, Greenspun's Tenth Rule, and the debugging dividend of visual programming.
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·6 min
AI Agent Security in Practice: 7 Attack Techniques and a Five-Layer Defense System
An in-depth breakdown of the 7 major attack techniques against AI agents (prompt injection, data poisoning, image attacks, etc.) and a five-layer defense system, with real cases from Doubao and DeepSeek.
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·5 min
The Five Unsolved Challenges of Production MLOps: A Deep Dive into GPU Scheduling, Fault-Tolerant Training, and Model Observability
A deep dive into the five genuinely tough challenges of production MLOps: fault-tolerant training on Spot instances, cross-team GPU scheduling, data reproducibility, model observability, and inference cost optimization.
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·3 min
Multi-Agent Collaboration with Claude Code and Codex: A Guide to Architecture Design and State Management
A deep dive into Claude Code and Codex multi-Agent collaboration: architecture design, state-driven coordination, private/public zone division, and building efficient AI programming teams.
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·3 min
Hermes Agent for Kubernetes Cluster Management: AIOps Tool Selection and Cost Analysis
An in-depth review of managing Kubernetes clusters with Hermes Agent, covering K8S AIOps tool evolution, the truth about Token costs, and a three-level AI operations framework.
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·5 min
Java Backend Interview Sprint: A Systematic Methodology From Rote Q&A to Scenario Questions
How can you prepare efficiently for a Java backend interview? This article breaks down the core methodology of "process-driven interview engineering," covering resume optimization, understanding principles, scenario analysis frameworks, and production troubleshooting.
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·6 min
Home Self-Hosting Server Setup Guide: Building a Private Cloud Ecosystem from Scratch
One 32GB server, 8 hours to build a complete home self-hosting ecosystem. This article details the selection logic behind core services like Jellyfin, Forgejo, Immich, and Ollama, plus infrastructure setup essentials for Nginx Proxy Manager and Podman Compose.
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·4 min
Dify Getting Started: A Complete Guide to Building AI Workflows Without Code
A complete guide to Dify's core features and 1.8.0 deployment. Covers 5 app types, Docker setup, Workflow vs Chatflow differences, and RAG knowledge bases for beginners.
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·5 min
Postgres Is Enough More Often Than You Think: Stop Piling On Your Tech Stack
Many teams add message queues, search engines, and caches before they ever need them. This article maps out what Postgres can cover—task queues, full-text search, JSON storage—and when you actually need Redis, Kafka, or Elasticsearch.
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·7 min
Open Source Community Collaboration Culture: How a Single Tweet Amplifies Technical Impact
Starting from a brief thank-you tweet, this article explores content co-creation in AI and open source communities—how video demos become a new dissemination medium and how creators and developers build trust networks together.
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·6 min
Complete Guide to Deploying Dify Locally: Docker + Ollama + RAG Setup Tutorial
A detailed guide to deploying the Dify agent platform locally: from Docker setup and integrating Ollama + DeepSeek local LLMs to workflow orchestration and RAG knowledge base construction.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·7 min
6 Core Standards of a High-Value Agent Project That Impress Interviewers
Most Agent projects lack competitiveness in interviews due to missing business value and engineering depth. This article breaks down the 6 core standards of high-value Agent projects.
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·7 min
A Java Developer's Guide to AI: Framework Selection and Practical Tutorial for LangChain4J
As LLM costs keep falling, how can Java developers seize the AI opportunity? This article explores LangChain4J's core capabilities, supported models and vector databases, and compares LangChain4J vs. Spring AI to help you build local knowledge bases and intelligent customer service systems.
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·6 min
Understanding the Limits of Vibe Coding: A Practical Guide to AI Engineering-Grade Programming
An in-depth look at the difference between Vibe Coding and AI engineering-grade programming. Can AI replace programmers? From Claude Code and Codex to Cursor, revealing the real limits, enterprise pain points, and engineering solutions of AI coding tools.
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·7 min
Rowboat: An Open-Source, Local-First Alternative to Claude Desktop
Rowboat is an open-source, local-first AI desktop client positioned as a Claude Desktop alternative. Local data storage and fully transparent code help developers control privacy and workflows.
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