#token optimization LLM
1237 related articles
·2 min
Observe Every Step of Claude Code Execution with Eflow Base: Full Tracing Configuration Guide
Learn how to use Eflow Base as middleware to fully trace Claude Code's tool calls, token consumption, and system prompt assembly for complete AI Agent observability.
Read more →
·4 min
Coze Workflow in Practice: Complete Tutorial for AI One-Click Product Promo Video Generation
Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.
Read more →
·3 min
Multi-Model Unified Orchestration Framework: Runtime Dynamic Switching Across Eight AI Services in Practice
Deep dive into a runtime AI chatbot integrator architecture covering unified orchestration of OpenAI, Claude, DeepSeek text models and 11Labs, Azure TTS services with latency testing and streaming synthesis.
Read more →
·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
Read more →
·2 min
Duel Agents: Multi-AI Agent Competition Mechanism That Automatically Selects the Most Cost-Effective Coding Solution
Duel Agents uses multi-model parallel competition and recursive task decomposition as a routing layer before tools like Claude Code, automatically selecting the most cost-effective AI coding result with claimed 70% savings.
Read more →
·4 min
Vibe Coding Beginner's Guide: Tool Selection Across Three Categories with Practical Examples
A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.
Read more →
·3 min
Vibe Coding in Practice: A Junior Student Uses Cursor to Build a Multi-Agent System with 51 AI Officials Based on the Three Departments and Six Ministries Framework
A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.
Read more →
·2 min
v0 Integrates with Shopify: AI Conversations Generate Production-Grade E-Commerce Websites
Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.
Read more →
·4 min
Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
Read more →
·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
Read more →
·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
Read more →
·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
Read more →
·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
Read more →
·3 min
CreateNow Controlled Development in Practice: Getting AI to Write Code Requirement by Requirement
Hands-on with CreateNow's controlled AI development: from requirements breakdown to modular coding. Covers model selection, breakpoint-resume, and acceptance checks.
Read more →
·2 min
ChatGPT Merges with Codex: What a 24-Hour Autonomous AI Assistant Means
OpenAI fully integrates Codex into ChatGPT, creating an AI digital worker capable of autonomous planning and up to 24 hours of continuous execution. A deep dive into core upgrades, use cases, and industry impact.
Read more →
·2 min
Four Practical Claude Code Commands to Double Your AI Programming Efficiency
Master four efficient Claude Code commands: Compact for context compression, WIT for local file import, precise targeting for fixes, and custom Commands to boost AI programming productivity.
Read more →
·4 min
What Is Cursor? A Complete Guide to the AI-Native Programming IDE's Core Features and Use Cases
Deep dive into Cursor's four core features: AI-native design, natural language code generation, context awareness, and multi-model switching. Compare it with traditional IDEs to see if Cursor can boost your dev efficiency.
Read more →
·3 min
Claude Code Ultra Code in Practice: One Person Orchestrating 100+ Agents in Parallel Development
Learn how to use Claude Code's Ultra Code and Dynamic Workflow to orchestrate 100+ Agents in parallel, with Deep Research demos, token-saving tips, and workflow reuse methods.
Read more →
The Complete Guide to Claude Code: Cho…
·3 min
The Complete Guide to Claude Code: Choosing and Getting Started with a Terminal AI Programming Tool
A deep dive into Claude Code's core advantages as a terminal AI programming tool, how it differs from Device Agents, and practical setup steps to get started with enterprise-grade AI coding.
Read more →
·3 min
Reasonix: A Coding Agent Optimized for DeepSeek with 99% Cache Hit Rate
Deep dive into Reasonix coding agent: how it achieves 99% DeepSeek cache hit rate, cutting API costs to 1%. Covers setup, four conversation modes, MCP support, and more.
Read more →