Gemini CLI Full Course: Agentic Coding in the Terminal
Gemini CLI tutorial — moving AI out of the browser tab and into the terminal, where it can actually touch your codebase. Most developers use AI by copying code into a chat window and pasting the answer back, which works until the task spans more than one file. This course covers the alternative: agentic workflows where the model plans, executes, and iterates across multiple steps under your control. Installation and auth, interactive and non-interactive modes, context management and scoping to avoid token bloat, IDE integration, MCP and tooling, then the practical builds — debugging broken code, generating and running tests, refactoring a codebase, writing documentation, and wiring the CLI into CI/CD and team workflows. It closes on the part most tutorials skip: verifying correctness and catching hallucinations before they reach your repo.
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⏱️ Chapters:
0:00:00 Introduction
0:03:18 Installing the Gemini CLI, Authenticating, and First Workflow
0:06:46 Gemini CLI Commands (Interactive Mode)
0:13:19 Gemini CLI Commands (Non-Interactive Mode)
0:18:05 Context Management Fundamentals
0:22:19 Gemini CLI IDE Integration
0:29:56 Moving from Simple Prompts to Task-Oriented Instructions
0:34:52 Gemini CLI in Scripting Contexts
0:40:10 Debugging and Fixing Broken Code with the Gemini CLI
0:48:04 Scoping Context to Avoid Noise and Token Bloat
0:50:51 Skills, Custom Agents and Advanced Context Management
1:00:32 Model Context Protocol (MCP) and Tooling Integration
1:07:24 Practical: Refactoring a Small Codebase
1:09:29 Using the CLI to Generate and Run Tests
1:18:50 Generating Documentation and Code Explanations
1:27:56 Integrating Gemini CLI into CI/CD and Team Workflows
1:38:35 Verifying Correctness and Avoiding Hallucinations
1:41:58 Practical: Test-Driven Agentic Workflow
Basic programming knowledge required — you should be comfortable in a terminal and with version control. A Google account is needed for authentication; check current free-tier limits before running large jobs against a real codebase.
⚠️ The Gemini CLI moves fast. Commands, flags, and IDE integrations change between releases, so if something in the video doesn't match what you see, check Google's current CLI documentation — the workflow patterns hold even when the syntax shifts.
⚠️ Before you point an agentic workflow at real code: work on a branch, commit before you start, and review every diff. An agent that can refactor across files can also break across files.
ℹ️ This course is independent and is not affiliated with, endorsed by, or sponsored by Google. Gemini is a trademark of Google LLC. For educational purposes only.
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