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140390 articles · Page 31 of 7020
Su San Talks Tech
Su San Talks Tech
Jun 26, 2026 · Artificial Intelligence

Claude Code Best‑Practice Repo Hits 54K Stars in 60 Days – Supercharging Front‑End and Back‑End Development

The open‑source "claude-code-best-practice" repository compiles community‑validated Claude Code techniques into four layers—concepts, features, workflows, and 83 actionable tips—offering concrete examples, token‑usage guidelines, workflow patterns, and hook strategies that dramatically improve both front‑end and back‑end development efficiency.

AI coding assistantClaude CodeGitHub
0 likes · 8 min read
Claude Code Best‑Practice Repo Hits 54K Stars in 60 Days – Supercharging Front‑End and Back‑End Development
Black & White Path
Black & White Path
Jun 26, 2026 · Information Security

Step‑by‑Step Guide to Exploiting JWT Vulnerabilities

This article dissects common JWT weaknesses—including the None algorithm, missing signature verification, algorithm/key confusion, CVE‑2018‑0114 parsing bugs, kid‑parameter injection, and weak‑key brute‑forcing—showing how attackers manipulate tokens and offering concrete code‑level demonstrations.

CVE-2018-0114JWTNone algorithm
0 likes · 10 min read
Step‑by‑Step Guide to Exploiting JWT Vulnerabilities
Shuge Unlimited
Shuge Unlimited
Jun 26, 2026 · Artificial Intelligence

Taming Chaotic AI Agent Skills with skill-mcp: versioning, rollback, and orchestration

The article examines how AI agents accumulate scattered skills, outlines the problems of discoverability, version control, and secure sharing, and shows how the open‑source skill‑mcp project treats each skill as a versioned, permission‑controlled package with three deployment modes, lightweight pipeline orchestration, and built‑in security checks.

AI AgentMCPdeployment
0 likes · 16 min read
Taming Chaotic AI Agent Skills with skill-mcp: versioning, rollback, and orchestration
Geek Labs
Geek Labs
Jun 26, 2026 · Artificial Intelligence

Agor: Real-Time Collaboration Hub for Multi-Agent AI Development Teams

Agor is an open‑source command center that lets multiple AI coding agents and human developers work together on a shared canvas, each on its own Git branch, with all sessions, environments, prompts, and pull requests unified in one place.

AI AgentsAgorTypeScript
0 likes · 5 min read
Agor: Real-Time Collaboration Hub for Multi-Agent AI Development Teams
Linyb Geek Road
Linyb Geek Road
Jun 26, 2026 · Artificial Intelligence

Why One Agent Isn't Enough: Multi‑Agent Orchestration for Efficient AI Teams

Because a single LLM agent quickly hits context limits, role confusion, and tool selection failures, the article analyzes four multi‑agent orchestration patterns, the A2A protocol, framework selection, and engineering challenges such as state management, error recovery, observability, and token cost, even for edge deployment.

A2A protocolEdge deploymentLLM
0 likes · 9 min read
Why One Agent Isn't Enough: Multi‑Agent Orchestration for Efficient AI Teams
Linyb Geek Road
Linyb Geek Road
Jun 26, 2026 · Artificial Intelligence

What Is AI Orchestration? Concepts, Tools, and Common Pitfalls Explained

The article breaks down AI orchestration as a management layer that routes tasks, maintains state, executes tools, handles retries, and coordinates multiple agents, comparing frameworks like LangGraph and CrewAI while highlighting practical pitfalls and best‑practice advice for building reliable multi‑step AI workflows.

AI orchestrationCrewAILangGraph
0 likes · 20 min read
What Is AI Orchestration? Concepts, Tools, and Common Pitfalls Explained
Deepin Linux
Deepin Linux
Jun 26, 2026 · Fundamentals

Mastering C++ vtable internals: Demystifying polymorphism

This article explains how C++ implements polymorphism through virtual tables and virtual pointers, walks through their generation, memory layout, single‑ and multiple‑inheritance scenarios, distinguishes compile‑time and runtime polymorphism, and shows practical guidelines for when to use or avoid polymorphic designs.

C#compile-time polymorphisminheritance
0 likes · 28 min read
Mastering C++ vtable internals: Demystifying polymorphism
ZhiKe AI
ZhiKe AI
Jun 26, 2026 · Backend Development

Mastering the 5 Java IO Models: From OS Fundamentals to epoll vs select

An interviewer's question about the difference between epoll and select reveals a tangled web of OS‑level IO mechanisms; this article unpacks user‑space vs kernel‑space, DMA, zero‑copy, buffering, and maps the five Java IO models (BIO, NIO, AIO, etc.) to their underlying system calls.

AsynchronousIOJava
0 likes · 17 min read
Mastering the 5 Java IO Models: From OS Fundamentals to epoll vs select
AI Engineer Programming
AI Engineer Programming
Jun 26, 2026 · Fundamentals

Can Modern Models Replace Traditional Harnesses? A Historical Look (Part 1)

The article traces how low‑level programming harnesses—from ENIAC wiring and punch‑card code to assembly, compilers, operating systems, database optimizers, and memory‑management techniques—have been progressively abstracted away by tools, type systems, and language semantics, highlighting what has been "eaten" and what still requires manual expertise.

Memory Managementabstractioncompiler
0 likes · 12 min read
Can Modern Models Replace Traditional Harnesses? A Historical Look (Part 1)
AI Architecture Path
AI Architecture Path
Jun 26, 2026 · Artificial Intelligence

How Omnigent Unified Scheduling Gained 4,000+ Stars in 5 Days for Multi‑Agent Coding

The article analyzes the fragmented workflow of using multiple AI coding agents, introduces Omnigent's meta‑harness that unifies Claude Code, Codex, Cursor and others, details its architecture, core capabilities, installation steps, security controls, known limitations, and compares it with single‑agent setups.

AI AgentsClaude CodeCodex
0 likes · 15 min read
How Omnigent Unified Scheduling Gained 4,000+ Stars in 5 Days for Multi‑Agent Coding
AI Architecture Hub
AI Architecture Hub
Jun 26, 2026 · Artificial Intelligence

30 Core AI Agent Engineering Concepts Every Developer Must Know

This article breaks down the essential 30 concepts behind AI agents—covering their loop‑based execution, state management, common patterns, configuration files, prompt caching, context corruption, capability protocols, sandbox security, permission controls, observability, and practical entry‑level advice—so developers can understand any new framework without chasing hype.

AI AgentsMCPObservability
0 likes · 21 min read
30 Core AI Agent Engineering Concepts Every Developer Must Know
TonyBai
TonyBai
Jun 26, 2026 · Backend Development

How Go 1.27’s GODEBUG Cleanup Repays a Decade of Technical Debt

The article analyzes Go 1.27’s newly accepted GODEBUG cleanup proposal, detailing the four‑category deprecation policy, the build‑time and startup‑time enforcement mechanisms, and the introduction of runtime.SetGODEBUG/GetGODEBUG to eliminate ten years of accumulated technical debt while preserving compatibility.

GODEBUGGoGo1.27
0 likes · 10 min read
How Go 1.27’s GODEBUG Cleanup Repays a Decade of Technical Debt
Code Mala Tang
Code Mala Tang
Jun 25, 2026 · Artificial Intelligence

Why Rerank Is Essential: From 100 Retrieved Docs to the 5 Correct Answers in RAG

Even with a perfectly populated vector database, a RAG pipeline often returns irrelevant answers because the initial Bi‑encoder retrieval only narrows the pool to about 100 candidates, and without a Cross‑encoder rerank step the truly correct document—often buried around rank 37—never reaches the LLM for answering.

Bi-EncoderCross-EncoderEmbedding
0 likes · 9 min read
Why Rerank Is Essential: From 100 Retrieved Docs to the 5 Correct Answers in RAG
LuTiao Programming
LuTiao Programming
Jun 25, 2026 · Backend Development

GitHub Copilot’s New Deep‑Dive Java PR Review: Beyond a Quick Diff Glance

GitHub Copilot Code Review now uses grep, rg, glob and view to actively explore related files in Java pull requests, shifting AI code review from merely commenting on changed lines to investigating the broader impact on transactions, caches, messaging, database queries and system compatibility.

AI Code ReviewBackend DevelopmentGitHub Copilot
0 likes · 20 min read
GitHub Copilot’s New Deep‑Dive Java PR Review: Beyond a Quick Diff Glance
Model Perspective
Model Perspective
Jun 25, 2026 · Industry Insights

What Business Model Drives Otome Games? Analyzing Emotional Credit and Player Backlash

The $1 billion‑earning 3D otome game ‘Love and Deep Space’ sparked a flood of complaints after adding a new character, prompting the author to model the player‑company relationship as a one‑sided emotional credit bond, linking parasocial interaction, social anxiety, sunk‑cost effects, and identity‑driven churn.

emotional creditgame industryidentity
0 likes · 10 min read
What Business Model Drives Otome Games? Analyzing Emotional Credit and Player Backlash