Overview

Automation tools turn repetitive command-line work into fast, repeatable workflows. This section covers the essential CLI tools for version control, continuous integration, and text and data processing — the building blocks of everyday developer automation.

Tools in This Section

Version Control & Collaboration

• Git - The distributed version-control system: branching, merging, rebasing, history rewriting, and recovery.
• GitHub CLI (gh) - Drive GitHub from the terminal: pull requests, issues, releases, and workflow runs.

Continuous Integration

• GitHub Actions - Cloud-native CI/CD: workflows, jobs, matrix builds, caching, secrets, and reusable actions.

Text & Data Processing

• awk - Pattern-scanning and field-oriented text processing for reports and transformations.
• sed - Stream editor for find-and-replace and line-based text manipulation.
• jq - Command-line JSON processor for filtering, transforming, and querying structured data.

Why These Tools Matter

1. Consistency - Scripted commands run the same way every time, eliminating manual error.
2. Speed - Tasks that take minutes by hand finish in seconds.
3. Composability - These tools pipe together: gh fetches data, jq reshapes it, awk/sed format it.
4. Documentation - Automation scripts are executable, version-controlled documentation of your processes.

Learning Approach

Each tool provides a By Example tutorial with annotated, runnable commands:

• Beginner - Core commands and everyday usage
• Intermediate - Real workflows, scripting, and integration
• Advanced - Complex pipelines, optimization, and edge cases

Getting Started

• New to version control? → start with Git
• Automating GitHub work? → GitHub CLI and GitHub Actions
• Wrangling text or JSON? → awk, sed, and jq

For AI-powered coding assistants (Claude Code, Hermes Agent, OpenClaw, Pi Coding Agent), see Artificial Intelligence → Tools.