AI Tools and AI Development: The Complete 2026 Guide

Every AI tutorial on the site in one place — coding assistants, local models, RAG, MCP, AI app architecture, AI video generation, and AI workflows for Excel and Flutter.

This is the master AI hub. It covers AI coding assistants you run inside your IDE (Claude Code, Copilot, Cursor, Windsurf, Gemini CLI), local open-weight models (Gemma 4, DeepSeek), RAG and agent architecture, MCP servers, AI video generation with Seedance 2.0, and the AI workflows that overlap with Excel and Flutter — those are also linked from the Excel hub and Flutter hub respectively.

Who This Guide Is For

If you are new to AI tools and trying to figure out which one to start with, read the frontier model comparison first, then pick a coding assistant from the AI Coding Tools section. If you are a developer building AI apps, jump to the Building AI Apps section — it covers the production patterns that matter (tool calling, evaluation, caching, structured outputs). If you are a creator or marketer looking at AI video, head to the Seedance section. If you are privacy-sensitive or cost-conscious, the Local and Open Models section covers Gemma 4 setup and when free local models beat paid APIs.

How to Navigate This Guide

The hub is organised into eight sections. AI Coding Tools covers the IDE assistants — Claude Code, Copilot, Cursor, Windsurf, Gemini CLI — across VS Code and Android Studio. Local and Open Models covers Gemma 4 setup and local-first AI workflows. Frontier Model Comparisons ranks ChatGPT, Claude, Gemini, and the open vs API decision. Building AI Apps and Agents covers RAG, tool calling, evaluation, cost control, and production patterns. MCP (Model Context Protocol) covers servers, agents, and remote architecture. AI Video Generation (Seedance 2.0) covers the full Seedance toolchain — setup, prompts, settings, use cases, and comparisons against Sora, Kling, and Veo. AI for Excel cross-lists the AI workflows that target Excel specifically (also on the Excel hub). AI for Flutter cross-lists the AI workflows that target Flutter specifically (also on the Flutter hub).

Key takeaways

  • Pick your AI coding tool by where you work: Claude Code or Copilot in VS Code, Gemini Code Assist or Claude Code in Android Studio.
  • Local Gemma 4 is genuinely usable for everyday coding and analysis — the trade-off is hardware setup, not output quality.
  • RAG quality depends more on chunking strategy and reranking than on which model you use.
  • MCP is the protocol layer that lets one AI assistant talk to many tools and data sources — worth learning if you build AI apps.
  • Seedance 2.0 weights the first 15 words of your prompt heavily — subject, motion, camera direction must come first.
  • For Excel and Flutter AI workflows, see the dedicated cross-links in the last two sections — they are also indexed on those respective hubs.

AI Coding Tools (VS Code and Android Studio)

Local and Open Models (Gemma 4)

Frontier Model Comparisons

Building AI Apps and Agents

MCP (Model Context Protocol)

AI Video Generation (Seedance 2.0)

AI for Excel (also on the Excel hub)

AI for Flutter (also on the Flutter hub)