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157 related articles
·3 min
Getting Started with LangChain: The Core Framework for LLM Application Development and Its Three Key Components
LangChain is the leading open-source framework for LLM application development, supporting GPT-4, GLM, and other mainstream models. This article dives into its three core concepts: Components, Chains, and Agents.
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·6 min
Grok 4.5 Hands-On: A Faster, Cheaper Coding Dark Horse — Can It Replace Opus and GPT?
In-depth Grok 4.5 hands-on review: priced at a fraction of Opus 4.8, twice the token efficiency of peers, and coding ability in the top tier. A real-project breakdown of its strengths, highlights, and shortcomings.
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·3 min
Microsoft SQL Major Upgrade: AI Capabilities, Security Enhancements, and Fabric Integration — A Deep Dive
Microsoft SQL team's major updates: Azure SQL adds AI embeddings and dynamic data masking, Fabric SQL gets a Migration Assistant and Fabric Apps, SQL Server CU5 brings memory improvements, SSMS adds a SQL Formatter and Agent mode, and DP-800 certification is now open.
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·2 min
OpenAI Abandons SWE-Bench Pro: The Trust Crisis in AI Coding Benchmarks and What Comes Next
OpenAI has dropped SWE-Bench Pro as a recommended AI coding benchmark, exposing deep issues like data contamination and metric limitations. We explore the trust crisis and where evaluation is headed.
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·2 min
LangChain Fundamentals: A Deep Dive into Components, Chains, and Agents
LangChain is an open-source framework connecting LLMs with external data. This guide explains its three core components: Components, Chains, and Agents for enterprise AI development.
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·5 min
Python Learning Roadmap for Beginners: A Three-Stage System to Avoid 90% of Detours
Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.
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·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
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·2 min
FastAPI Fundamentals: Frontend-Backend Separation and RESTful API Design Explained
A comprehensive introduction to FastAPI's core concepts: frontend-backend separation, RESTful API design, JSON data exchange, HTTP methods, and idempotency explained clearly.
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·7 min
DryFox v0.3.3: AI Agent Team Collaboration + Composable UI Panels Explained
In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.
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·7 min
A Complete Guide to LangGraph's Core Concepts: The Framework of Choice for Enterprise Agent Development
An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.
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·4 min
Claude Code Getting Started Guide: Core Advantages and Selection Recommendations for AI Coding Assistants
Claude Code is Anthropic's local AI coding assistant featuring full project context, auto error correction, and high-accuracy code generation. Compare it with Cursor, Trae, and Codex.
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·6 min
LangChain 1.0 Comprehensive Guide: Three Core Frameworks and Hands-On AI Application Development
Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.
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·6 min
10 Billion Tokens in Practice: An In-Depth Review of Codex's Long-Horizon Engineering Capabilities
Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.
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The Open Source AI Landscape: How the …
·2 min
The Open Source AI Landscape: How the Gap Map Charts the Ecosystem
Current AI's Open Source AI Gap Map catalogs 421 products across models, tools, datasets, and hardware, tracking ~24,800 entries. All data is MIT-licensed and open on GitHub.
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sqlite-utils 4.0rc2 Released: Major Ve…
·2 min
sqlite-utils 4.0rc2 Released: Major Version Built with $150 in AI Costs
Simon Willison releases sqlite-utils 4.0rc2, with most code written by Claude at just $149.25 in API costs. A deep dive into AI-assisted development costs and human-AI collaboration.
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Claude Leads sqlite-utils 4.0 Developm…
·2 min
Claude Leads sqlite-utils 4.0 Development for $149: A Real-World Look at AI Programming
Simon Willison reveals sqlite-utils 4.0 was mostly written by Claude for $149.25. A deep dive into this AI-led development experiment and what it means for developers.
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·6 min
Getting Started with LangChain: A Deep Dive into Model and Agent Core Concepts
Deep dive into LangChain's core Model and Agent concepts, covering unified model interfaces, agent tool calling, middleware mechanisms, and key principles for building LLM applications.
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·2 min
Getting Started with FastAPI: Understanding Frontend-Backend Separation and RESTful API Design
Learn FastAPI from the ground up: understand frontend-backend separation, Starlette's ASGI architecture, and RESTful API design before writing a single line of code.
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·3 min
Cursor Beginner's Guide: Build a Complete Project with AI from Scratch
Build a complete project with AI from scratch! This guide covers Cursor's three chat modes (Agent/Ask/Manual), Claude model selection, and a Python student management system walkthrough.
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·3 min
Cursor in Action: A Complete Guide to Building Python Projects with AI from Scratch
Learn how to build a Python student management system from scratch using Cursor AI — covering Agent/Ask/Manual modes, Claude model selection, auto error fixing, and environment setup.
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