⚡ CLI Comparison Track

AI CLI Tools —
Compared

Claude Code vs Gemini CLI vs GitHub Copilot CLI. Same tasks, three tools. Learn when to reach for each, and why.

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3Tools compared
10Modules
$0To start
~20hTotal
The Three Tools — Quick Reference
by Anthropic
ModelClaude Opus/Sonnet 4
Free tierLimited (Claude.ai Pro $20/mo)
Context200K tokens
SWE-bench 80.9%
⚡ Code quality, reasoning, subagents
by Google
ModelGemini 2.5 Flash/Pro
Free tier1,500 req/day (Flash)
Context1M tokens
SWE-bench 63.8%
⛰ Large codebase context, Google Workspace
by Microsoft / GitHub
ModelGPT-4o / Claude Sonnet
Free tier2,000 completions/mo
ContextLimited (shell-focused)
SWE-bench N/A
🔒 Shell commands, GitHub ecosystem
When to Use Which — Decision Matrix
Task Best Tool Why
Complex refactoring Claude Code Highest code quality & reasoning depth
Large monorepo context Gemini CLI 1M token window fits entire codebases
Shell command help Copilot CLI Purpose-built for gh, git, shell translation
Google Workspace automation Gemini CLI 100+ built-in Google skills & integrations
Multi-agent pipelines Claude Code Subagents + hooks + CLAUDE.md orchestration
GitHub PR automation Gemini CLI Copilot CLI Native GitHub Actions integrations for both
Free daily usage Gemini CLI 1,500 requests/day on Flash at no cost
Enterprise code compliance Claude Code Constitutional AI, audit logs, policy controls
Track Modules — Learning Path

TRACK 1 — SIDE-BY-SIDE COMPARISONS

MODULE 01 · LANDSCAPE

The Landscape

Philosophy, architecture, and origin story of each tool. Why Anthropic, Google, and Microsoft took different design bets, and what those bets mean for your daily workflow.

✓ LIVE ~45 min Conceptual Claude Code Gemini CLI
MODULE 02 · SETUP

Setup Comparison

Install all three tools from zero. Auth patterns for each (OAuth, API keys, CLI login). Windows quirks, WSL tips, and making all three coexist cleanly on one machine.

~40 min Beginner Claude Code Gemini CLI Copilot CLI
MODULE 03 · PROMPTING & CONTEXT

Prompting & Context

CLAUDE.md vs GEMINI.md vs .github/copilot-instructions.md. How each tool reads project context, what you can configure, and which instructions actually stick.

~50 min Beginner → Intermediate CLAUDE.md GEMINI.md
MODULE 04 · CODE GENERATION

Code Generation

Same prompt, three tools. Side-by-side quality analysis: correctness, idiomatic style, error handling, and test coverage. Where each model excels and falls short.

~55 min All levels SWE-bench 80.9%
MODULE 05 · FILE & CODEBASE

File & Codebase Operations

Multi-file editing strategies. How each tool handles large repos: context limits, chunking, summary approaches. Practical patterns for a 100K-line codebase.

~60 min Intermediate 1M context

TRACK 2 — ADVANCED FEATURES

MODULE 06 · AGENTIC WORKFLOWS

Agentic Workflows

Claude subagents vs Gemini Plan Mode vs Copilot's limits. Where full autonomy ends and human-in-the-loop begins for each tool. Real multi-step task walkthroughs.

~65 min Intermediate → Advanced Subagents Plan Mode
MODULE 07 · MCP & INTEGRATIONS

MCP & Integrations

All three tools support MCP — but their approaches differ. Claude Code's .claude/settings.json, Gemini's extension model, Copilot's plugin marketplace. Same protocol, different philosophy.

~60 min Intermediate MCP Extensions
MODULE 08 · CI/CD & AUTOMATION

CI/CD & Automation

Headless modes for all three. GitHub Actions workflows for automated code review, PR triage, and test generation. Which tool is easiest to automate end-to-end.

~70 min Advanced GitHub Actions
MODULE 09 · COST & PRICING

Cost & Pricing Deep Dive

Total cost of ownership for teams of 1, 5, and 20 developers. Token-based vs subscription vs completions. Where free tiers break down and when to upgrade.

~45 min All levels 1,500/day free
MODULE 10 · CHOOSING YOUR STACK

Choosing Your Stack

Decision framework for individuals, teams, and enterprises. Hybrid approaches — using two or three tools together. How to evaluate as models and pricing evolve.

~40 min All levels Strategy

BONUS — THE FOURTH CONTENDER

BONUS · OPENAI CODEX

OpenAI Codex: The Fourth Contender

The tool this course didn't cover — until now. Codex's four surfaces (CLI, IDE, cloud, GitHub review), AGENTS.md, the two-layer sandbox/approval security model, credit-based pricing, and an honest verdict on which slot of your M10 hybrid stack it actually contests.

✓ LIVE ~50 min After M10 OpenAI Codex vs Claude Code
Capstone Project
CAPSTONE · After Module 05 + Module 10

Build the Same App in All Three

Pick a simple CRUD REST API (provided as a spec). Build it from scratch using Claude Code, then Gemini CLI, then GitHub Copilot CLI. Track time, output quality, code correctness, and developer experience. Write up your own verdict.

The goal is not to declare a winner — it's to develop intuition about when each tool clicks for you personally. Your setup, your codebase size, your budget, your workflow.

4–6 hours All 3 tools Claude Code Gemini CLI Copilot CLI

What this course is NOT

This is not a ranking. There is no winner. Each tool has a home turf where it genuinely outperforms the others. The goal is to build a mental model of the tradeoffs so you instinctively reach for the right tool for each job — and stop leaving capability on the table.

Claude Code wins at

Complex reasoning, code quality, multi-step agentic tasks, enterprise policy controls, and situations where you can't afford hallucinated code.

Gemini CLI wins at

Massive codebases that exceed other tools' context windows, Google Workspace tasks, and $0 daily usage for individuals and students.

Copilot CLI wins at

Shell command translation, GitHub-native workflows, and teams already standardized on the Microsoft/GitHub ecosystem.

Prerequisites

You don't need all three tools installed to start. One is enough for Module 01. Pick up the others as you reach the modules that compare them.

Terminal basics
cd, ls/dir, running commands
Basic programming
Any language — reading code matters more than writing
At least 1 tool installed
Claude Code, Gemini CLI, or Copilot CLI
No AI/ML background needed
We explain models as tools, not math