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61 related articles

Jul 12, 2026·5 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.

Jul 11, 2026·5 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.

Jul 10, 2026·4 min

The Age of AI Agents: How Version Control Must Adapt to a Paradigm Shift

AI agents are breaking Git's core assumptions. Explore the three key challenges—concurrent conflicts, history readability, and code review—and where version control is headed next.

Jul 10, 2026·4 min

Spring AI Alibaba Graph in Practice: HR Recruitment Workflow Agent Design and Core Technical Analysis

Build an HR recruitment workflow Agent with Spring AI Alibaba Graph, covering resume parsing, job matching, tiered question generation, HITL checkpointing, and time travel state rollback across 20 core technical points.

Jul 10, 2026·7 min

ManagedAgents.sh: A Deep Dive into the Model-Agnostic Open-Source Managed Agent Platform

ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.

Jul 10, 2026·6 min

Using Skills to Let AI Automatically Manage LLM API Gateway Stations

An in-depth look at the Skills paradigm in AI programming: through intent routing and script encapsulation, let AI agents auto-manage multi-channel LLM APIs on a One API gateway for one-click distribution, health checks, and auto-degradation.

Jul 9, 2026·2 min

Spring AI Alibaba: The Core Framework for Integrating LLMs into Java Applications

Spring AI Alibaba is an enterprise-grade Java AI framework that bridges microservices and LLMs — like JDBC for databases — enabling seamless AI integration with minimal migration cost.

Jul 9, 2026·7 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.

Jul 8, 2026·7 min

Learning Python Web Scraping from Scratch: How It Works, the Full Workflow, and Legal Boundaries

A must-read intro to Python web scraping: from HTTP requests and HTML parsing to data storage, systematically explaining how crawlers work and their full workflow, while clarifying legal boundaries like the robots protocol and privacy protection.

Jul 7, 2026·2 min

Building an AI Public Opinion Monitoring Platform with 7 Agents: A Full-Stack LangGraph Deep Dive

A deep-dive into an AI public opinion monitoring platform built with LangGraph and LangChain, featuring 7 collaborative agents, ES vector search, email alerts, and automated report generation.

Jul 7, 2026·6 min

AI Workspace Session and Cache Leaks: A Complete Analysis of Multi-Tenant Isolation Security Risks

AI workspaces face cross-tenant session and cache leak risks that can expose sensitive enterprise data. This article analyzes multi-tenant isolation pitfalls, common architectural flaws, and actionable defenses.

Jun 25, 2026·3 min

Python Webhook Callbacks in Practice: Ditch Polling for Efficient Async Communication

Build a complete Python Flask project comparing polling vs. Webhook async communication. Learn to implement callback endpoints for payment notifications and production-grade event-driven architectures.

Jun 23, 2026·4 min

Deep Dive into Six AI Development Tools: Loop Recipe Library, Vercel Agent Framework, and More

Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.

Jun 21, 2026·4 min

A Beginner's Guide to Vibe Coding: The New Way to Build Software with AI — No Coding Required

What is Vibe Coding? Learn the core philosophy, three key traits, and boundaries of this AI-powered approach. Get a complete beginner's learning path with tools like Cursor and Bolt.new.

Jun 18, 2026·3 min

Deep Module Architecture in Practice: Fixing a Codebase Wrecked by AI

Is AI-assisted coding making your codebase messier? Learn deep modules, seams, and adapters from A Philosophy of Software Design to systematically fix your architecture.

Jun 14, 2026·3 min

Firestore Enterprise Edition Query Engine: A Deep Dive into Full-Text Search, Subqueries, and Pipeline Operations

Deep dive into Firestore Enterprise Edition's new query engine covering full-text search, subquery Joins, and pipeline operations with practical recipe app examples.

Jun 13, 2026·2 min

Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development

A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.

Jun 7, 2026·4 min

Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering

Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.

Jun 7, 2026·4 min

Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?

Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.

Jun 7, 2026·4 min

Full-Stack Development in a Todo App: 35 Core Technologies Every Programmer Should Know

Using a todo app's full development lifecycle as a guide, this article covers 35 core full-stack technologies from frontend to backend, databases, DevOps, cloud deployment, and scaling architecture.