Section 04 · Build

💻Build

Build AI-powered products

7 / 7 published50 articles

An engineering track covering LLM fundamentals, AI coding tools, RAG, agents, and production operations.

Foundations
1

LLM Development Basics

Basics of APIs, tokens, context windows, and pricing

7 articles · 3 groups
2

AI Coding Tools

Boost developer productivity with coding AIs like Claude Code, Codex, Cursor, and GitHub Copilot

12 articles · 4 groups
PracticeRead in parallel
3

Prompt Engineering

Structured prompting, few-shot, chain-of-thought, and evaluation

6 articles · 3 groups
基本2 articles
i

LLM 開発者のプロンプト設計:基本原則

Coming Soon
ii

構造化プロンプト:システムプロンプトとロール設計

Coming Soon
技法2 articles
品質管理2 articles
v

プロンプト評価の基本:再現性と精度

Coming Soon
vi

プロンプト管理:Promptfoo / LangSmith / Helicone

Coming Soon
4

App Development

Claude/GPT APIs, AI SDK, and Next.js integration

7 articles · 3 groups
全体像1 articles
i

LLM アプリ開発入門:チャット・アシスタント・自動化

Coming Soon
API・SDK4 articles
クラウド・運用2 articles
Advanced
5

RAG & Retrieval

Embeddings, vector DBs, and search quality improvement

6 articles · 4 groups
全体像1 articles
i

RAG とは:自社データで LLM を賢くする全体像

Coming Soon
基礎2 articles
ベクトル DB1 articles
品質改善2 articles
v

検索品質を上げる:リランカー・ハイブリッド検索

Coming Soon
vi

Fine-tuning in Practice: LoRA, QLoRA, When and What

AI Navigate Original·4/27/2026
6

AI Agents

Tool use, autonomous tasks, multi-agent systems, and MCP

7 articles · 3 groups
7

Eval & Operations

Evaluation, cost optimization, security, and observability

5 articles · 3 groups
評価1 articles
運用基盤3 articles
ii

Inference Cost Optimization: Caching, Model Selection, Quantization

AI Navigate Original·4/27/2026
iii

観測(Logging / Tracing / Metrics)の実装

Coming Soon
iv

レート制限・フェイルオーバー・冗長化

Coming Soon
セキュリティ1 articles