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Getting started with AI coding agents

To start coding with AI agents, pick one all-in-one tool (Claude Code or Cursor), connect the filesystem and GitHub MCP servers, and keep a cheatsheet handy for the core workflow. Work in plan mode first so the agent proposes before it edits, review, then approve — and give it a way to verify its own work. This page collects the beginner-friendly resources to get there fast.

Start with Claude Code or Cursor, the reference MCP servers, and our Beginner cheatsheet.

Curated by Joaquin FuentesLast updated: June 14, 2026

Recommended resources

Claude Code Beginner Tips & Tricks

The one-page desktop reference every new Claude Code user wants.

Twelve uniform tiles covering sessions, the closed-loop workflow, file handling, plugins, mid-flight steering, permission modes, agents, memory, and context health — each command and tip verified against the official docs.

Claude CodeFreeVibeVersityBeginner
getting-startedworkflowcommandsmemory
When to use & gotchas

When to use Keep it open while you learn the surface area — sessions, permission modes, memory, and the closed-loop workflow — until the muscle memory sticks.

Gotcha The single biggest beginner win is permission modes: start in plan mode (Shift+Tab) so the agent proposes before it edits, then approve.

Claude Code: What's New

The latest features, from models to autonomy to enterprise.

A six-card map of the most recent Claude Code release wave — 1M context, fast mode, voice, agent view, dynamic workflows, computer use, native install — with version pills showing exactly when each feature landed.

Claude CodeFreeVibeVersityIntermediate
changelogfeaturesmodelsautonomy
When to use & gotchas

When to use Skim it after any gap away from Claude Code — version pills show exactly which release each feature landed in, so you know what's safe to rely on.

Model Context Protocol — Reference Servers

Filesystem, Git, Fetch, Memory, and more, maintained by Anthropic.

The canonical reference implementations of MCP. Start here to understand the protocol and to wire up filesystem, git, and fetch access for any MCP-capable client.

Any toolFreeOfficialBeginner
mcpfilesystemgitreference
When to use & gotchas

When to use Start here before any third-party server — the filesystem and fetch references teach you how MCP wiring, scopes, and approvals actually behave.

Gotcha Give a server the narrowest filesystem scope that works. A broad root means the agent can read more of your machine than you intended.

Claude Code

Anthropic's agentic coding tool — terminal, IDE, and web.

The agent this whole hub is built around: a coding agent that reads your repo, runs commands, edits files, and ships. Included with Claude paid plans; also available via API.

Any toolFreemiumOfficialBeginner
agentcliide
When to use & gotchas

When to use Reach for it when you want an agent that owns a whole task end-to-end — read the repo, run the tests, fix, and open the PR — not just autocomplete.

Gotcha It's only as good as the loop you give it: a clear success check (a test or build it can run) is what lets it self-correct instead of guessing.

Cursor

The AI-native code editor (VS Code fork).

A full editor built around AI: multi-file edits, codebase chat, and agent mode. Free tier with usage limits; paid plans unlock higher limits and frontier models.

CursorFreemiumOfficialBeginner
editoragentautocomplete
When to use & gotchas

When to use Pick it if you want AI woven into the editor itself — inline edits, codebase chat, and agent mode — rather than a separate terminal tool.

GitHub Copilot

In-editor completions, chat, and agents across IDEs.

GitHub's assistant for VS Code, JetBrains, and more — completions, chat, and a coding agent. Free tier available; Pro and enterprise plans add capacity and model choice.

Any toolFreemiumOfficialBeginner
autocompletechatagent
When to use & gotchas

When to use A safe default if your team spans VS Code and JetBrains and you mainly want fast, in-line completions with chat on the side.

Frequently asked questions

What do I need to start coding with AI?

An AI coding tool (Claude Code or Cursor), access to your repo, and one or two MCP servers (filesystem, GitHub). Everything else can wait until you need it.

Should I use a terminal agent or an editor?

If you want an agent that owns a whole task end-to-end, start in the terminal with Claude Code. If you prefer AI inside a familiar editor, Cursor or GitHub Copilot are gentler on-ramps.

How do I keep the agent from breaking things?

Use plan and permission modes: start in plan mode so it proposes changes, review them, then approve. Give it a test or build it can run to check its own work.

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