OneRange

Cursor: Core

This course teaches engineers to build and edit code with AI-native editors like Cursor. Learners use agentic editing, codebase chat, and multi-file edits, set up rules and context, and maintain review discipline. They leave able to work far faster while keeping control of quality.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Introduction to AI-Native Editors & Cursor Setup — Understand the paradigm shift from autocomplete to agentic assistance. Set up Cursor, import settings, and configure the basic LLM preferences.
  • Codebase Chat & Semantic Search — Learn to query your codebase using natural language. Explore how Cursor indexes files to answer architectural questions and find relevant code blocks.
  • Inline Generation and Editing with Cmd+K — Master in-place code generation, refactoring, and inline modifications. Practice writing precise prompts to edit specific lines of code.
  • Multi-File Edits with Composer (Cmd+I) — Harness the power of Composer to orchestrate changes across multiple files simultaneously, maintaining consistency across imports and exports.
  • Agentic Editing & Terminal Integration — Configure Cursor to run terminal commands, execute test suites, and automatically debug errors based on build outputs.
  • Context Management: @-Symbols and Docs — Fine-tune AI context by referencing files, folders, code symbols, and external documentation using the @-menu.
  • Configuring Workspace Rules (.cursorrules) — Create and implement a .cursorrules file to enforce project-specific coding standards, architectural patterns, and library preferences.
  • Review Discipline and Diff Verification — Develop critical review habits. Learn to systematically audit AI-generated diffs, reject bad suggestions, and maintain strict version control hygiene.
  • Hands-On Capstone: Building a Feature Agentically — Apply combined skills to scaffold, write tests for, and implement a complete feature from scratch using agentic workflows.
  • AI-Native Best Practices and Pitfall Mitigation — Learn to manage context window limits, handle AI hallucinations, and strategic guidelines for when to code manually versus when to delegate to the AI.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to AI Tool Usage, Programming, Working with AI Tools, Code Generation, Git & Version Control.

  • AI Tool Usage
  • Programming
  • Working with AI Tools
  • Code Generation
  • Git & Version Control

Who it is for

Software engineers. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: AI Code Editors track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a tool assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

  • Cursor: Advanced — This course takes Cursor users from productive to expert: rules files, context strategy, agent mode, and working in large codebases. Learners finish able to set team conventions for AI-native development.
  • AI-Augmented Software Engineering — Ship better code faster with AI assistance

Related

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-CUR-101.