#CRUD code generation
207 related articles
·6 min
Andrew Ng × Anthropic: A Hands-On Claude Code Tutorial and Core Methodology
Andrew Ng partners with Anthropic to launch a hands-on Claude Code course, revealing its simple architecture, local security edge, and core context methodology across three cases: RAG chatbot, Jupyter analysis, and Figma-to-frontend.
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·6 min
MCP Brings Power Apps Data Seamlessly into M365 Copilot: A Complete Implementation Guide
A Power Platform MVP demonstrates how to use MCP to securely expose Power Apps business data to M365 Copilot. Covers declarative agent creation, custom tool development, and VS Code setup.
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·5 min
Building Your Own Reading Tracker: Craig Mod's Digital Garden and the Case for Data Sovereignty
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·4 min
Complete Guide: Connecting Claude Code to DeepSeek — Local Setup + VS Code Integration
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·7 min
GitHub Copilot in Practice: The Capability Boundaries of AI Programming and the Irreplaceable Value of Humans
A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.
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·5 min
Pylon Sync: An In-Depth Look at the Full-Stack Realtime Framework Built for AI Agents
Pylon Sync is an "Agent-First" full-stack realtime framework that treats AI Agents as first-class design citizens, reducing coding errors via strong conventions.
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·3 min
GitHub Daily · July 10: The Agent Skills Ecosystem Explodes — AI Coding Enters the 'Skills Library' Era
July 10 GitHub Daily: The Agent Skills ecosystem explodes as over half of trending projects revolve around AI coding Agent skill libraries, with MCP as the standard interface.
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·6 min
A Three-Month AI Agent Learning Roadmap: From Zero to Hands-On Agent Development
A systematic breakdown of the complete AI Agent learning roadmap, covering prompt engineering, the ReAct paradigm, memory mechanisms, and multi-agent collaboration, with hands-on project advice.
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21-Day Python Automation Testing Crash Course: A Complete Breakdown of the Three-Stage Learning Path
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·7 min
Context Warp Drive: A Deep Dive into Deterministic Context Folding for AI Agents
An in-depth look at 'Deterministic Context Folding' from Context Warp Drive: solving AI agent context window management with reproducible, cacheable, debuggable context compression for production-grade agents.
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·6 min
Hands-On with Mixar: An AI-Native Blender Fork That Handles Baking and LOD with a Single Prompt
Mixar is an AI-native fork of Blender 5.0 that embeds AI into the kernel layer. This hands-on review tests texture baking, LOD generation, mood boards, image-to-3D, and more, comparing it to MCP. Fully open source and free.
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YC CEO Claims 37,000 Lines of AI Code …
·3 min
YC CEO Claims 37,000 Lines of AI Code Per Day: The Truth Behind the Numbers
YC's CEO claims to ship 37,000 lines of AI-generated code daily. We break down what those lines actually consist of and how to properly measure AI coding productivity.
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·6 min
The Seven Core Components of Building Long-Running AI Agents
An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
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·6 min
Can AI Antivirus Cure the Chronic Pop-Up Problem? An In-Depth Hands-On Review of Wukong Security
Struggling with Windows pop-ups and rogue software? This in-depth review of Wukong Security reveals how AI antivirus breaks past traditional virus-database limits, blocking ads and bundleware in real time, plus a comparison of five repair shops.
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·4 min
AI Agent for Automated WordPress SEO: A Complete Guide from Diagnosis to Execution
Learn how to use an AI Agent to fully automate WordPress SEO — covering image Alt tags, RankMath API integration, prompt configuration, and more.
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Frontend to Full-Stack AI: A Complete NestJS + LangChain Roadmap
Pure frontend roles are shrinking fast. Learn how mastering NestJS and LangChain AI agent development can unlock a 20–30% salary boost on your full-stack AI transition path.
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Mouse: A Precision Code Editing Tool B…
·2 min
Mouse: A Precision Code Editing Tool Built for AI Programming Agents
Mouse provides structured precision editing primitives for AI coding agents, solving the token waste and fragility of full-file rewrites and string replacement.
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·7 min
Hermes Agent Deep Dive: An AI Agent Framework That Uses Fewer Tokens Than Open Cloud
Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.
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·3 min
Cursor & Claude Code Enterprise Training: AI Coding Tool Division of Labor and Practical Methodology
How can R&D teams truly leverage AI coding tools? This article breaks down Cursor vs. Claude Code division of labor, an eight-step framework, and how to build reusable AI collaboration assets.
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·3 min
Can AI Replace Traditional Code Generators? Playing to Each Tool's Strengths Is the Optimal Solution
AI-generated code is costly, unpredictable, and has a 50%+ rework rate. For standardized CRUD, traditional code generators far outperform AI. Learn how to combine both tools for the optimal dev workflow.
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