This beginner path introduces the foundations of agentic software development workflows. You will learn how an AI coding assistant can inspect files, run commands, create code, and support implementation tasks from the terminal. The path covers practical customization techniques for real projects, including persistent project instructions, context management, settings, permissions, and error recovery. You will also explore planning workflows for safer changes, delegation to subagents, and effective use of web access tools. As you progress, you will create reusable skills that extend the assistant’s capabilities and combine them into multi-step workflows. The path concludes with applied practice in an existing codebase, where you configure the environment, implement features, and recover from common issues.
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Syllabus
- Launch and navigate terminal-based AI coding sessions
- Configure project instructions, settings, permissions, and context
- Use planning workflows to prepare and manage code changes
- Create reusable skills for common development tasks
- Combine multiple skills into automated project workflows
- Apply error recovery techniques in realistic coding scenarios