Junior Track Roadmap

AI tools: professional (Cursor & Gemini)

This course covers a professional workflow with two agentic tools: Cursor, an IDE, and Gemini CLI, an open-source terminal agent. It explains how Cursor decides which rules apply to a file, how nested AGENTS.md files combine, and why a rules file named MEMORY.md does not load automatically. It covers Gemini CLI's built-in tools, GEMINI.md and non-interactive mode. It also covers Plan Mode, checking a context file against the code it describes, and reviewing work from cloud and parallel agents.

What you'll learn

  • ✓How Cursor's alwaysApply, globs and description fields decide when a rule applies
  • ✓Why a rules file's filename decides whether a tool loads it automatically
  • ✓Using Gemini CLI in interactive and non-interactive mode
  • ✓Reviewing and editing a plan in Cursor's Plan Mode before any file changes
  • ✓Checking a context file's claims against the code it describes
  • ✓Reviewing branches from Cursor's Cloud Agents and parallel worktree agents
Free preview · Lesson 1 3 min read

From one loop to a professional, multi-tool workflow

"AI tools: introduction (Cursor & Antigravity)" named the loop underneath every agentic tool: read a file, write a change, run a command, read the result, repeat. Its example had an agent add published? to an Article model: open app/models/article.rb, write the method and run the test suite. "AI…

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Curriculum

7 lessons
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