#Prompt Cache
519 related articles
·2 min
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
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·4 min
AI Engineer Job Search: The Capability Leap from Demo to Production System
AI job demand is surging but companies can't find qualified candidates. Learn the 3 core skills—advanced RAG, local model deployment, and full-stack monitoring—to leap from demo builder to production engineer.
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·3 min
CC Switch Tutorial: Connect Claude Code to Domestic Chinese LLMs Without a VPN
Step-by-step tutorial on using CC Switch to connect Claude Code to DeepSeek, Kimi, and other Chinese LLMs without a VPN or Claude account for low-cost AI coding.
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·2 min
DeepSeek API Setup Tutorial: Key Configuration & Cost Analysis Practical Guide
Step-by-step guide to applying for a DeepSeek API key, configuring it, and analyzing real costs. 38M tokens for just ¥1.9 with ~98% cache hit rate.
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·3 min
Claude Code Local Deployment: A Practical Guide to Connecting Local LLMs
Complete guide to deploying Claude Code locally with Ollama, LM Studio, or vLLM. Covers architecture, protocol translation, hardware requirements, and model selection for zero-cost, private AI coding.
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·3 min
Open-Source Models Keep Throwing Errors in Your Code? The Problem Might Be the Framework
DeepSeek and Kimi keep failing at coding? The problem may not be the model but the framework. Learn how Commander Code fixes this with cache routing, tool call repair, and continuous learning.
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·3 min
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.
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·2 min
Pre-Installation Guide for Codex: Setting Up Git, Node.js, and VS Code
Step-by-step guide to installing Git, Node.js, and VS Code before setting up OpenAI Codex. Covers download, version selection, and verification for beginners.
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·2 min
GitHub Copilot Switches to Per-Token Billing: The End of AI Coding Tool Subsidies
GitHub Copilot shifts from flat monthly fees to per-token billing, potentially costing developers hundreds per day. Analysis of the change, industry trends, and open-source alternatives like Cline and Codex CLI.
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·2 min
Cursor Practical Project Guide: Best Practices from Simple to Complex
A systematic guide to using Cursor across project types, covering capability boundaries, rules configuration, prompting techniques, and phased development.
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·1 min
Vibe Coding in Practice: Driving AI Programming with Natural Language from Zero Experience
A comprehensive guide to Vibe Coding methodology covering Claude Code tool selection, DeepSeek model adaptation, agentic engineering principles, and the complete path from zero to deploying web apps.
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·4 min
Decoding Cursor's Developer Report: The Truth Behind a 46x Productivity Gap in AI-Powered Coding
Cursor's first developer report reveals a Gini coefficient far above warning levels, with the top 1% producing 46x more than the median. A deep dive into AI coding's brutal divide.
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·4 min
7 Context Management Tips to Save Tokens in AI Conversations
AI conversations getting worse over time? Master these 7 context management tips—including manual compression, cache rules, and streamlined instructions—to save tokens and boost Claude and GPT output quality.
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·2 min
One BaseURL to Access All AI Models: A Deep Dive into API Aggregation
Deep dive into how API aggregation platforms use a single BaseURL to access Claude, OpenAI, Gemini and all major AI models, covering intelligent routing, fault tolerance, team collaboration, and cost management.
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·3 min
Cursor AI Editor Beginner's Guide: From Installation to Building a Personal Homepage
A detailed guide to Cursor AI code editor's core features, pricing plans, Design Mode, and a hands-on demo building a personal homepage with structured prompts.
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·3 min
NestJS + LangChain: A Practical Guide for Frontend Engineers Transitioning to AI Full-Stack Architecture
How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.
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·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.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·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.
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·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.
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