GUIDES / 02
Guides
Problem-focused AI solutions covering common scenarios, recommended tools, and complete implementation steps.
Series
Learning paths
Follow a related set of guides in sequence.
- PATH 0112 guides
AI Agent Development and Interview Guide
Start with「AI Agent Development and Interview Guide: 00-Recruitment Requirements and Competency Model Report」
- PATH 0212 guides
AI AGENT Beginner's Guide
Start with「AI Agent Beginner Tutorial: 01 - Concepts, Examples, and Technical Background」
- PATH 035 guides
Ai Side Hustle
Start with「Systematizing Faceless YouTube: High Retention AI Workflows」
- PATH 0428 guides
WorkBuddy In Action
Start with「WorkBuddy Practical: 01 - Introduction to WorkBuddy」
Curriculum
All guides
- 01AdvancedCost: Free
From 0-Token Fast-Path to Evaluation Graphs: Deconstructing Enterprise Dual-Track Intent Routing for AI Agents
A comprehensive analysis of routing latency bottlenecks and intent drift risks in enterprise AI agents, detailing the dual-track architecture combining a 0-token deterministic Fast-Path with a multi-dimensional Evaluation Graph Slow-Path, specificity conflict arbitration, timeout circuit breakers, and production-grade Python implementations.
- 02IntermediateCost: Free
Tool Calling vs. Executing Code: Understanding Code-as-Action in AI Agents
Code-as-Action unifies agent tool invocation and decision-making into executable Python code. This guide systematically analyzes the CodeAct mechanism, execution loop, context shielding, self-debugging, and sandbox defense architecture with leading frontier model selection from SWE-bench Verified and LiveCodeBench, helping engineers build expressive, token-efficient, and secure agent runtimes.
- 03AdvancedCost: Free
Exploring Standalone Small Classifiers: Qwen LoRA and BGE
The opening separates the performance problem from the actual base models: locally trainable Qwen3-0.6B and BGE-small-zh-v1.5. For every round from V1 through V4, the article explains the change, measured effect, analysis, and reason for the next iteration, then summarizes final quality and performance; final selection still requires an independent blind test.
- 04IntermediateCost: FreeChromaPineconeMilvus
Building a Vector Storage
Creating vector storage is the fundamental first step in building high-dimensional semantic search infrastructure. This guide systematically explores document loading, semantic text splitting, embedding generation, and vector database comparative analysis (covering Chroma, Pinecone, Milvus, FAISS, Annoy, and sqlite-vector) to build reliable similarity search infrastructure.
- 05IntermediateCost: Free
Differences Between Agent and Harness
An in-depth analysis of AI Agent cognitive reasoning and Harness runtime chassis architectures, exploring dynamic spectrums, intertwined state and memory, shared control flows, code generation tools, multi-layered security, and boundary trade-offs.
- 06IntermediateCost: FreeCodeGraph
CodeGraph Usage Guide
Learn how to install CodeGraph, index a project, connect it over MCP, query code relationships, assess change impact, select affected tests, keep the graph fresh, and troubleshoot common failures.
- 07IntermediateCost: FreeSpec KitOpenSpec
Spec Kit vs. OpenSpec: Architectural Comparison and Selection Guide
A detailed comparison of GitHub's Spec Kit and Fission AI's OpenSpec, evaluating Spec-Driven Development (SDD) principles, architectural designs, spec delta mechanisms, and selection strategies across project lifecycles.
- 08IntermediateCost: FreeVoicebox Local AI Voice Studio
Open-Source ElevenLabs Alternative: Hands-On Guide to Voicebox
Voicebox is a free open-source local AI voice studio supporting 5-second voice cloning, text-to-speech, multi-track podcast editing, and system dictation. This guide covers setup, voice cloning, multi-track editing, and dictation usage.
- 09IntermediateCost: FreedbskillrnskillIndexTTS2
55 Open-Source AI Video Skills Architecture and Automated Pipeline Guide
A comprehensive breakdown of 55 open-source AI video skills across 12 architecture layers, detailing automated pipeline invocation, independent business diagnostics, and practical workflow implementation.
- 10IntermediateCost: FreeHyperFramesRemotion
Code Video Framework Selection: HyperFrames vs. Remotion Deep Dive and Decision Guide
A comprehensive evaluation of HyperFrames and Remotion for AI video generation and code-driven editing, assessing rendering architecture, agent compatibility, video composition, and decision criteria.
- 11IntermediateCost: FreeAnthropicClaude Opus 5
New Rules of Context Engineering for Claude 5: Thin Prompts, Progressive Disclosure, and Model Unhobbling
Based on Anthropic technical staff insights from Claude Code, this guide presents the context engineering evolution for Claude 5: trimming 80% of prompt rules, moving from rigid constraints to native model judgment, and employing Thin Prompts with progressive disclosure.
- 12IntermediateCost: Free
Agent Harness vs. Loop vs. Graph Engineering
This guide separates Agent Harness, Loop Engineering, and Graph Engineering, using faithful transcriptions of all seven source images to show how the layers work together. It also maps common failures to the runtime environment, feedback loop, or explicit workflow that should be changed.
- 13IntermediateCost: Free
From Prompt to Graph: Five Engineering Paradigms in Five Years of AI
A systematic overview of the five core AI engineering paradigms from 2022 to 2026, tracing the shift in control mechanics from Prompt and Context Engineering to Harness, Loop, and Graph Engineering, detailing practical architecture implementations.
- 14AdvancedCost: Free
Practical Graph Engineering: 14 Steps to Build Scalable Agent Architectures with Claude
A comprehensive 14-step roadmap for transforming linear agent workflows into scalable graph architectures, covering node contracts, data edges, parallel fan-out, barrier fan-in, diamond topology, verifier nodes, and model tiering.
- 15IntermediateCost: Free
Graph Engineering Explained: Principles, Patterns, and Applications
A comprehensive analysis of Graph Engineering in AI workflows, covering core concepts, the Diamond Pattern, verifier nodes, failure modes, and practical templates for Claude Code.
- 16IntermediateCost: Free
Loop Engineering: The 20-Step Path from Prompter to System Designer
Provides a complete 20-step roadmap for transitioning from manual prompting to automated loop engineering. The guide covers mental shifts, building decoupled Builder-Judge loops, adding manager and persistence layers, stress testing with model tiering, and evolving into a system designer while outlining the four hidden costs of skipping steps.
- 17IntermediateAI Agent Development and Interview GuideCost: Free
AI Agent Development and Interview Guide: 11-High-Frequency Interview Question Bank and Frameworks
Presents a high-frequency interview question bank derived from 21 real Agent job postings, featuring 4-step technical and 6-step system design answer frameworks.
- 18AdvancedAI Agent Development and Interview GuideCost: Free
AI Agent Development and Interview Guide: 10-Capstone Project: Enterprise Knowledge and Action Assistant
Integrates FastAPI, RAG, LangGraph, MCP Servers, HITL, and Evals to build a complete, production-ready enterprise Agent capstone project with verifiable portfolio metrics.
- 19AdvancedAI Agent Development and Interview GuideCost: Free
AI Agent Development and Interview Guide: 09-Fine-Tuning, Post-Training and Inference Serving
Clarifies when to use SFT/LoRA/DPO versus Prompting/RAG, evaluating AWQ/GGUF quantization trade-offs and deploying high-throughput model serving via vLLM and Ollama.
- 20AdvancedAI Agent Development and Interview GuideCost: Free
AI Agent Development and Interview Guide: 08-Production Deployment, Performance, Cost and Security
Covers Prompt Injection and Jailbreak defenses, Docker sandbox isolation for tool execution, semantic caching, and circuit breaker/degradation architectures for high concurrency.