#AI applications
4761 related articles
·3 min
Getting Started with AI Agent Development: A Complete Learning Path to Building Intelligent Applications from Scratch
AI Agents are reshaping software development with 42.8% market CAGR. Learn the difference between Agents and traditional AI, plus a complete LangChain-based curriculum to launch your career in intelligent agent development.
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·2 min
The Complete Guide to Custom Software Development: AI Large Model Applications & Full-Stack Development, All in One Place
15-year full-stack engineering team offering custom development for mini programs, apps, enterprise systems, RAG knowledge bases, and AI agents — no middlemen, no subcontracting, full one-on-one ownership.
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·7 min
50 AI Research Job Applications to FAANG, 0 Replies? Unpacking the Truth Behind the Job Search Struggle
An AI research engineer with 3 years of experience sent 50 applications to FAANG with zero replies. This article breaks down the hidden barriers of top-tech AI roles, the truth about LinkedIn ghost jobs, and the MLE vs. Research Engineer divide.
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·5 min
Scalping Bots, Tampered Exam Applications, Hacked Robots: The Legal Boundaries of Computer Crime in the AI Era
Scalper ticket bots, tampered exam applications, hacked robot vacuums—do these acts violate criminal law? Drawing on Luo Xiang's legal analysis, this article explores the crime of destroying computer information systems.
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·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.
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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
Getting Started with LangChain: The Core Framework Connecting LLMs and AI Applications
A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.
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·5 min
OSINT Tools for Automated Discovery of Exposed Files on Domains: Principles, Applications, and Compliance Boundaries
Deep dive into how OSINT automation tools discover exposed files on domains, covering dictionary probing principles, attack surface management, bug bounty techniques, and compliance boundaries.
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·3 min
Full-Stack AI Development with Vercel: A Complete Guide to AI SDK, RAG, and Production-Ready Applications
Master full-stack AI development with Vercel: from LLM, RAG, and vector embeddings to AI SDK, AI Gateway, and v0 — build production-ready AI web apps end to end.
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·7 min
AI Agent Practical Guide: From Content Generation to Enterprise Applications
A deep dive into AI Agent's two core directions: 2C content generation (text/images/video) and 2B enterprise applications (RAG/AutoGen/LLM integration). With real startup cases and practical methods.
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·7 min
App Builder: Generate Runnable Applications from a Single Sentence — A New Paradigm in AI Programming Tools
App Builder generates single-file runnable apps from natural language, with real-time sandbox preview and conversational revision. Deep analysis of its workflow, architecture, limitations, and costs.
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·3 min
The Complete Guide to Building Dify Workflows: A Hands-On Guide to No-Code AI Applications
Complete guide to Dify's five app types, Docker deployment for v1.8.0, and workflow building. Compare Dify vs Coze and learn to build enterprise AI apps with no code.
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·2 min
Anthropic Build Day Hackathon: How Top Developers Build AI Applications with Claude
Anthropic hosted a Build Day hackathon in Cerebral Valley, inviting top developers to demo AI apps built on Claude. Analysis of developer ecosystem strategy and industry competition.
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·2 min
OpenAI DevDay 2026 Now Accepting Applications: Largest-Ever Event Coming to San Francisco in September
OpenAI DevDay 2026 is now accepting applications for September 29 in San Francisco. Deadline is July 10. Key info, expected announcements, and developer tips.
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On-Policy Distillation Explained: Prin…
·3 min
On-Policy Distillation Explained: Principles, Advantages, and Applications — A Comprehensive Guide
A deep dive into On-Policy Distillation: core principles, key differences from Off-Policy methods, and applications in model compression, reasoning transfer, RLHF alignment, and self-improvement.
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·1 min
NVIDIA's Guide to Building Financial Transaction Foundation Models: From Pre-training to Downstream Applications
Deep dive into NVIDIA's guide for building financial transaction foundation models, covering representation learning, Transformer pre-training, distributed GPU training, and fine-tuning for fraud detection and credit assessment.
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·3 min
Codex MCP Getting Started Guide: Configuration Methods and Practical Applications Explained
A detailed guide to Codex MCP (Model Context Protocol): core concepts, two server types, configuration methods, and practical applications to help developers get started quickly.
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·3 min
The Complete Guide to Claude Code: Five Stages of AI Programming Tools & Practical Applications
A deep dive into Claude Code's positioning and use cases, covering the five evolutionary stages of AI programming tools from traditional coding to autonomous agents.
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·3 min
Firebase Integrates with AI Studio: Four Core Capabilities for Production-Grade Agent Applications
Deep dive into Google Firebase's integration with AI Studio, covering four core capabilities—database auto-configuration, authentication, security rules drafting, and zero-config deployment—for production-grade AI agent apps.
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Tutorials·3 min
Complete Google AI Studio Tutorial: Interface Configuration, Model Selection & Hands-On Applications
Complete guide to Google AI Studio covering interface layout, API setup, Gemini model selection, parameter tuning, and hands-on use cases for Build, image generation, video creation, and music.
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