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AI Explorer
AI Explorer
Feb 28, 2026 · Artificial Intelligence

Explore the Awesome LLM Apps Repository: Hands‑On RAG and AI Agent Examples

The article presents the “Awesome LLM Apps” GitHub repository—over 98 000 stars and hundreds of open‑source LLM projects that showcase Retrieval‑Augmented Generation, AI agents, and multi‑agent collaborations across diverse use‑cases, and offers step‑by‑step guidance on browsing, cloning, configuring, and running these examples for developers, product managers, students, and AI enthusiasts.

AI AgentsGitHubLLM
0 likes · 6 min read
Explore the Awesome LLM Apps Repository: Hands‑On RAG and AI Agent Examples
DeepHub IMBA
DeepHub IMBA
Mar 20, 2026 · Artificial Intelligence

Claude Code Command System Explained: 3 Types, 7 Categories, 50+ Commands

This article provides a comprehensive guide to Claude Code’s command system, covering all slash commands, CLI flags, keyboard shortcuts, hidden features, and practical workflows, showing how to initialize projects, manage context, switch models, control costs, and automate development tasks efficiently.

AI coding assistantCLIClaude Code
0 likes · 29 min read
Claude Code Command System Explained: 3 Types, 7 Categories, 50+ Commands
PaperAgent
PaperAgent
Dec 14, 2025 · Artificial Intelligence

GPT‑5.2 vs Gemini 3 Pro: Coding Tests, NeurIPS 2025 Paper Insights, and RAG Refactor

The article evaluates GPT‑5.2 and Gemini 3 Pro on real‑world coding tasks, analyzes trends from the 6000 papers presented at NeurIPS 2025, and demonstrates how to extract and refactor the tree‑building component of the open‑source RAPTOR RAG system into an independent module.

AI model evaluationCode RefactoringGPT-5.2
0 likes · 5 min read
GPT‑5.2 vs Gemini 3 Pro: Coding Tests, NeurIPS 2025 Paper Insights, and RAG Refactor
SuanNi
SuanNi
Apr 2, 2026 · Artificial Intelligence

How Alibaba’s New Qwen3.5‑Omni, Wan2.7‑Image, and Qwen3.6‑Plus Redefine Multimodal AI

Alibaba unveiled three cutting‑edge models—Qwen3.5‑Omni with native multimodal interaction, Wan2.7‑Image for high‑precision image generation and editing, and Qwen3.6‑Plus boosting coding agent performance—each achieving dozens of SOTA benchmarks, massive context windows, and novel capabilities such as Audio‑Visual Vibe Coding and transparent layer separation.

AICoding AgentLarge Language Model
0 likes · 7 min read
How Alibaba’s New Qwen3.5‑Omni, Wan2.7‑Image, and Qwen3.6‑Plus Redefine Multimodal AI
Lao Guo's Learning Space
Lao Guo's Learning Space
May 2, 2026 · Industry Insights

AI News Flash: DeepSeek Multimodal Breakthrough, Codex Major Update, Grok 4.3 Launch (May 1‑2)

The AI roundup covers OpenAI's Codex upgrade with Workspace Agents and 40% token efficiency, xAI's Grok 4.3 API offering 128K context and 60% lower pricing, Ant Group's open‑source Ling 2.6‑1T model, DeepSeek's multimodal Visual Primitives framework and its sudden removal, plus the ongoing GPT‑Plus account bans and their mitigation.

AI model benchmarksCodexDeepSeek
0 likes · 11 min read
AI News Flash: DeepSeek Multimodal Breakthrough, Codex Major Update, Grok 4.3 Launch (May 1‑2)
Java Architecture Diary
Java Architecture Diary
Jan 22, 2026 · Artificial Intelligence

Unlock Java Power with Claude Agent SDK: From One‑Shot to Reactive APIs

This article explains how Claude Code, a super‑intelligent AI agent, differs from traditional code‑completion tools, introduces its official SDK limitations, and provides a comprehensive guide to the community‑driven Claude Agent SDK for Java—including one‑shot, blocking, and reactive APIs and a practical RAG‑based Q&A example.

AI agentClaude CodeJava SDK
0 likes · 10 min read
Unlock Java Power with Claude Agent SDK: From One‑Shot to Reactive APIs
Design Hub
Design Hub
Dec 9, 2025 · Artificial Intelligence

AI Frontiers: GLM‑4.6V, AutoGLM 2.0 & RealGen for Designers & Developers

The article reviews three recent AI breakthroughs—GLM‑4.6V’s multimodal large‑model with 128K context and native function calling, AutoGLM 2.0’s open‑source mobile‑operating AI agent, and RealGen’s detector‑rewarded image generator that achieves a 50.15% realism win rate—highlighting how they expand toolkits for designers and developers.

AI AgentsAutoGLMGLM-4.6V
0 likes · 11 min read
AI Frontiers: GLM‑4.6V, AutoGLM 2.0 & RealGen for Designers & Developers
AI Engineering
AI Engineering
Mar 31, 2026 · Artificial Intelligence

Qwen3.5-Omni Introduces Audio‑Visual Vibe Coding: Code by Speaking and Gesturing

Alibaba's newly released Qwen3.5-Omni multimodal model adds an Audio‑Visual Vibe Coding feature that lets users describe a website or game with speech and gestures to generate code, while offering advanced audio comprehension, long‑duration media support, multilingual capabilities, fine‑grained voice control, and voice cloning, though its weights remain closed‑source.

AIAlibabaAudio-Visual Vibe Coding
0 likes · 3 min read
Qwen3.5-Omni Introduces Audio‑Visual Vibe Coding: Code by Speaking and Gesturing
MaGe Linux Operations
MaGe Linux Operations
May 8, 2023 · Artificial Intelligence

20 Creative Ways to Harness ChatGPT: From Code Fixes to Storytelling

This article compiles a wide range of practical ChatGPT applications—including grammar correction, translation, code explanation, error fixing, creative generation, and more—illustrated with descriptions, code snippets, and images to help users explore the model's versatile capabilities.

ChatGPTCode debuggingcreative writing
0 likes · 17 min read
20 Creative Ways to Harness ChatGPT: From Code Fixes to Storytelling
AI Tech Publishing
AI Tech Publishing
Feb 19, 2026 · Artificial Intelligence

Add Long-Term Memory to Your Agent with Lightweight RAG (Lesson 5)

This tutorial shows how to equip an AI agent with long‑term memory using Retrieval‑Augmented Generation (RAG), covering the concepts of vector embeddings, FAISS indexing, building and querying a knowledge base, and providing complete Python code examples.

AgentEmbeddingFAISS
0 likes · 13 min read
Add Long-Term Memory to Your Agent with Lightweight RAG (Lesson 5)
James' Growth Diary
James' Growth Diary
May 28, 2026 · Artificial Intelligence

Mastering Prompt Engineering: Few‑Shot, Chain‑of‑Thought, and Self‑Consistency Techniques

This article breaks down three core prompt‑engineering techniques—Few‑Shot prompting for output format stability, Chain‑of‑Thought for multi‑step reasoning, and Self‑Consistency for answer robustness—showing when to use each, how to combine them in LangChain, and providing concrete code examples, performance data, and common pitfalls.

Dynamic RoutingFew-shotLLM
0 likes · 30 min read
Mastering Prompt Engineering: Few‑Shot, Chain‑of‑Thought, and Self‑Consistency Techniques
AI Waka
AI Waka
Apr 16, 2026 · Artificial Intelligence

Six Ingenious Open-Source Extensions That Supercharge Claude Code

This article showcases six unique open‑source repositories that extend Claude Code with capabilities such as persistent subconscious memory, phone call integration, prompt improvement, interactive canvas panels, real‑time peer messaging, and a comprehensive job‑search assistant, detailing their key features, usage scenarios, and setup requirements.

AI extensionsClaude Codeopen-source tools
0 likes · 12 min read
Six Ingenious Open-Source Extensions That Supercharge Claude Code
MeowKitty Programming
MeowKitty Programming
Apr 29, 2026 · Artificial Intelligence

10 Must‑Try Open‑Source AI Projects for Java Developers: RAG, Agents, Knowledge Bases, and Text‑to‑SQL

This article curates ten open‑source AI projects on Gitee that Java developers can use to learn RAG pipelines, AI agents, knowledge‑base construction, Text‑to‑SQL, workflow orchestration, and multi‑model integration, offering concrete use cases, learning goals, and guidance on selecting a learning path.

AIJavaLangChain4j
0 likes · 13 min read
10 Must‑Try Open‑Source AI Projects for Java Developers: RAG, Agents, Knowledge Bases, and Text‑to‑SQL
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 14, 2026 · Artificial Intelligence

Designing High‑Quality Tools for Deep Research Agents: From Search to Python Execution

This article explains how to turn simple API calls into robust, noise‑filtering tools—Search, Visit, Scholar, and Python—by adding domain blacklists, relevance scoring, query‑driven extraction, safety sandboxes, and a unified registry, ultimately boosting the success rate of LLM‑driven research agents.

AI AgentsLLM safetyReAct
0 likes · 32 min read
Designing High‑Quality Tools for Deep Research Agents: From Search to Python Execution
JavaGuide
JavaGuide
May 11, 2026 · Artificial Intelligence

Running Code Review and Voice Agents with Step Plan and Claude Code

The article walks through using Step Plan’s unified API to integrate Claude Code for automated code review and to build a voice‑agent pipeline that transcribes meeting recordings, generates structured summaries, and produces audio briefs, while discussing setup, costs, model selection, practical demos, and observed limitations.

AI agentASRClaude Code
0 likes · 24 min read
Running Code Review and Voice Agents with Step Plan and Claude Code
Frontend AI Walk
Frontend AI Walk
Jan 13, 2026 · Artificial Intelligence

Master the planning-with-files AI Skill: Persistent Thinking Like Manus

This tutorial explains the planning-with-files Claude Code skill, its three‑file architecture, installation steps, activation methods, real‑world use cases such as a 2025 front‑end framework research demo, and advanced tips for recovery, collaboration, and version control, showing how external file persistence transforms AI conversations into durable, multi‑step workflows.

AI workflowClaudepersistent memory
0 likes · 17 min read
Master the planning-with-files AI Skill: Persistent Thinking Like Manus