#prompt design

90 related articles

2026年6月20日·3 min

Cursor in Action: Building a Library Management System in 15 Minutes — Full Walkthrough

Full walkthrough of building a FastAPI + Vue3 library management system in 15 minutes with Cursor AI, covering structured prompts, Plan & Build strategy, and bug fixes.

2026年6月20日·3 min

Core Insights from Andrew Ng's Prompt Engineering Course: From Fundamentals to Practice

Deep dive into Andrew Ng's ChatGPT Prompt Engineering course: Base vs. Instruction Tuned LLMs, two core prompting principles, and practical developer methodologies.

2026年6月18日·3 min

DeepSeek + MATLAB: Zero-Barrier AI Auto-Programming and Debugging

Learn how to call the DeepSeek API in MATLAB for AI auto-programming and debugging. From API key setup to building an auto-debug inner loop, a complete guide with a linear fitting demo.

2026年6月16日·2 min

DeepSWE Benchmark Deep Dive: Exposing SWE-Bench Flaws and the True Coding Ability Rankings

Deep dive into how DeepSWE exposes SWE-Bench Pro's data contamination and cheating issues. GPT-5.5 leads at 70%, open-source models lag far behind. Covers results, cost comparisons, and practical developer advice.

2026年6月15日·3 min

AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development

A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.

2026年6月14日·3 min

A $10 Million Research Fund Launches: What Happens When Millions of AI Agents Interact with Each Other?

Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.

2026年6月14日·3 min

AI Agent Learning Roadmap: A Four-Step Practical Guide from Zero to Job-Ready

A proven AI Agent learning roadmap covering four core elements, mainstream architecture patterns, multi-agent collaboration, and hands-on projects to go from zero to job-ready in three months.

2026年6月14日·3 min

DeepSWE Benchmark Reveals the Truth: GPT 5.5 Leads Opus 4.7 by a Wide Margin

DeepSWE long-horizon benchmark shows GPT 5.5 leads Opus 4.7 by 15+ points with 70% pass rate at one-third the cost. Deep dive into contamination-free testing and AI coding implications.

2026年6月14日·4 min

Complete Guide to Commercial AI Agent Development: From Requirements Analysis to Production Deployment

Complete guide to commercial AI agent development from scratch, covering requirements analysis, architecture design (ReAct framework, deep search, intent recognition), hands-on Coze platform implementation, workflow creation, and production deployment.

2026年6月14日·3 min

A Three-Month Roadmap to LLM Development: A Deep Dive into the Learning Path from Zero to Freelancing

A deep dive into the three-step LLM development learning path: from prompt engineering and RAG knowledge bases to AI Agent development, with realistic timelines for beginners and experienced developers.

2026年6月14日·3 min

Codex in Action: One Prompt, 47 Minutes, a Complete Algorithm Research Paper

Testing OpenAI Codex: one detailed prompt generates a complete algorithm paper in 47 minutes, including working code, figures, and LaTeX manuscript. Covers prompt design, quality assessment, and real submission experience.

2026年6月14日·3 min

Building a Cold Chain Logistics Optimization Research Project with Codex: A Complete Workflow from Scratch to PDF Paper

Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.

2026年6月14日·4 min

AI Agent Systematic Learning Path: From Zero to Independent Development

A systematic AI Agent learning path covering core principles, Prompt engineering, RAG, multi-Agent collaboration, and hands-on projects for beginners.

2026年6月14日·3 min

AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning

Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.

2026年6月14日·3 min

Four Core Advantages Frontend Developers Have When Transitioning to AI Agent Development

Frontend developers have key advantages for AI Agent development: TypeScript ecosystem fit, low-barrier full-stack bridging, and state management isomorphism. Learn the transition path here.

2026年6月13日·2 min

We Tested 4 AI Models Writing Passive-Aggressive Resignation Letters: Who's the Snarkiest?

We tested 4 AI models writing passive-aggressive resignation letters. See which AI nails irony, rhetoric, and workplace culture — and which ones completely flopped.

2026年6月13日·3 min

AI Agent Core Architecture Breakdown: From Concept to Enterprise-Grade Intelligent Agent Development

Deep dive into AI Agent architecture: perception, brain, and action modules. Covers RAG memory systems, tool calling mechanisms, Chain of Thought reasoning, and enterprise agent development roadmap.

2026年6月13日·2 min

Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python

Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.

2026年6月13日·3 min

AI Hospital Appointment Booking Mini-Program: Full-Stack Development with Spring Boot + Vue 3 + DeepSeek

Full-stack guide to building a hospital appointment booking mini-program with Spring Boot, Vue 3, and DeepSeek AI — featuring smart consultations, AI report interpretation, and three-terminal architecture.

2026年6月13日·3 min

OpenAI Codex Beginner's Guide: From Environment Setup to Enterprise-Level Practice

A systematic guide to OpenAI Codex and AI LLM learning, covering Transformer basics, dev environment setup, prompt engineering, RAG deployment, LoRA fine-tuning, and AI Agent enterprise projects.