#prompt optimization
33 related articles
Tutorials
Building a Match-3 Game with AI and Le…
·3 min
Building a Match-3 Game with AI and Letting the Agent Play It: A Complete Hands-On Walkthrough
A front-end dev uses Godot + MCP to let AI build a Match-3 game from scratch, then designs a decoupled architecture for an Agent to play it autonomously with self-improving strategies.
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Tutorials
Six Pitfalls and a Three-Layer Solutio…
·2 min
Six Pitfalls and a Three-Layer Solution for Implementing AI-Powered API Test Automation
Deep dive into six common pitfalls of AI-generated API automation scripts and a three-layer solution covering diagnosis and optimization for real-world implementation.
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Tutorials
Bolt + Expo in Practice: A Complete Tu…
·3 min
Bolt + Expo in Practice: A Complete Tutorial on Developing Mobile Apps with AI-Generated Code
Complete guide to building mobile apps with Bolt and Expo: AI code generation, local debugging, EAS cloud builds, and App Store deployment steps explained.
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Tutorials
Harness Engineering Deep Dive: Multi-L…
·2 min
Harness Engineering Deep Dive: Multi-Level Memory and Multi-Agent Collaborative Development in Practice
Deep dive into Harness Engineering: deconstructing Claude Code's multi-level memory, defense-in-depth, Hermes Agent autonomous evolution, and multi-Agent collaboration for industrial-grade AI development.
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Tutorials
DeepSeek V3 + bolt.html: A Practical G…
·2 min
DeepSeek V3 + bolt.html: A Practical Guide to Generating Beautiful Web Pages with Zero Code
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
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Research
Optimize Anything: One API to Unify Op…
·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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Deep Dives
Hermes Self-Evolution Framework: An Op…
·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
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Tutorials·3 min
Quit My State-Owned Enterprise Job to Build a Mini Program with Cursor: A Regular Person's AI Monetization Story
A zero-coding SOE employee quit his job and built a mini program with Cursor. This article analyzes how ordinary people can leverage AI tools for low-cost product development with practical advice.
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Product Reviews·2 min
Three AI Coding Tool Alternatives After Cursor Restrictions
Cursor restricted in China? This article reviews three AI coding alternatives: Augment Code for smart prompt optimization, Trae for best value, and Amazon Kilo for process-driven development.
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Deep Dives·3 min
Single-Agent vs Multi-Agent: A Three-Step Decision Framework for Choosing the Right Architecture
Based on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
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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
Frontend to AI Full-Stack: Complete Sk…
·2 min
Frontend to AI Full-Stack: Complete Skill Tree & Learning Roadmap
A complete skill tree for frontend developers transitioning to AI full-stack engineers, covering TypeScript, NestJS, LangChain JS, RAG, vector databases, and Tauri 2 with a clear learning roadmap.
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