#Function Calling replacement
171 related articles
Deep Dives·4 min
Can AI Agents Replace a Development Team? A Practical Guide for Non-Technical People
Can non-technical people use AI Agents to build virtual dev teams? From CEO Agent to Developer Agent, we analyze the theory vs. reality and offer a practical implementation guide.
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Deep Dives·4 min
Deep Dive into Cursor Skills: From Function Call to Practice
Deep dive into Cursor Skills' underlying principles, from Function Call and MCP protocol to Workflow Agent, with Spring AI Alibaba practical demo for any LLM.
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Product Reviews·2 min
Vibe Coding in Action: Building a Mac Screen Recorder with AI — Without Writing a Single Line of Code
A Bilibili creator used Vibe Coding to build a full-featured Mac screen recorder entirely through AI conversation, without writing any code. A deep dive into its features and Vibe Coding's potential.
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Tech Frontiers·2 min
OpenAI Voice Hackathon: 4 Real-Time Voice AI Projects Built in Just 6 Hours
OpenAI hosted Voice Hack Night where teams built 4 real-time voice agent projects in 6 hours. Deep analysis of technical challenges, use cases, and developer ecosystem trends in real-time voice AI.
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Tutorials·3 min
Build a Claude Code Agentic OS in 3 Steps — Stop Using AI Like a Slot Machine
Learn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
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Tutorials·3 min
The Complete Guide to Cursor 2.0: Plan, Agent, and Ask — Three AI Modes Explained
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
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Tutorials·3 min
Harness Engineering: A Practical Guide to AI Development — From Prompts to Mastering AI Agents
A deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
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Deep Dives·3 min
Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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Tutorials·2 min
Building a Browser Extension with Cursor from Scratch: A Beginner's Guide to Indie Development as a Side Hustle
Learn how to build browser extensions from scratch using Claude and Cursor. A complete guide to starting indie development as a side hustle with AI tools.
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Tech Frontiers·1 min
Google Anti-Gravity 2.0 Explained: The Multi-Agent Development Platform Replacing Gemini CLI
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.
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Tutorials·2 min
Codex Getting Started Guide: Dual-Channel Setup with DeepSeek (China) and ChatGPT (Global)
A detailed guide to OpenAI Codex's six core capabilities with dual setup options: DeepSeek for China-based users and ChatGPT for global access.
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Expert Opinions·2 min
AI-Generated Slop Issues Are Poisoning Open Source Communities, and Maintainers Are Fed Up
Flask creator Armin Ronacher slams AI-generated slop issues eroding open source communities. AI-rewritten reports are full of hallucinations, tanking signal-to-noise ratios for maintainers.
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Tutorials·2 min
Claude Code Installation Guide: One-Click Integration with DeepSeek V4, Direct Connection in China Without Overseas Accounts
Step-by-step guide to install Claude Code in China via CC Switch with DeepSeek V4 Pro—no overseas account or credit card needed. Covers Node.js setup, API keys, and cost control.
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Tutorials·2 min
LangChain Unified Interface in Practice: Complete Guide from Model Invocation to Agent Development
A detailed guide to LangChain's unified interface, comparing model invocation methods, explaining LLM vs Agent differences, with complete Python walkthrough from setup to agent development.
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Tutorials·2 min
Claude Code Installation Guide: Configuring Zhipu GLM as a Domestic Model Alternative
Step-by-step guide to installing Claude Code locally and configuring Zhipu GLM as a domestic model alternative. No VPN needed, setup in minutes—the most affordable AI coding assistant for Chinese developers.
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Tutorials·1 min
DIY AI Storyboard Tool: Precisely Control Video Generation with Grid-Based Panels
Open-source AI storyboard assistant built with MiniMax M2.5 in 3 days. Supports 9-panel and 25-panel grid generation with per-cell editing for precise Seedance 2.0 video control.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Tutorials·2 min
NestJS + LangChain + Tauri 2: A Practical AI Full-Stack Development Solution
An enterprise AI full-stack solution using NestJS, LangChain, LangGraph, and Tauri 2, covering AI service platforms, multi-agent orchestration, RAG, and cross-platform delivery for frontend developers.
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Tutorials·2 min
AI-Assisted APP Reverse Engineering in Practice: Automatically Extracting Product Data with MCP + IDA
Learn how to use MCP protocol to connect IDA Pro with AI LLMs for automated APP reverse engineering — from packing detection and unpacking to extracting product data.
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Product Reviews·1 min
Antigravity 2.0 Update: A Complete Breakdown of the Three-Product Suite
Antigravity 2.0 expands into three tools: a conversational programming tool, classic IDE, and CLI. This article breaks down their positioning, features, and product strategy for developers.
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