AI Coding Tools Guide: Cursor, GitHub Copilot, Claude Code and Windsurf
A practical guide to the AI coding assistants that engineering teams increasingly name in job descriptions. The page compares four tools — Cursor, GitHub Copilot, Claude Code and Windsurf — on strengths, trade-offs and the kind of work each suits, then covers first-time setup, prompt engineering technique, portfolio projects built with AI assistance, and the AI-tool questions that show up in technical interviews. Written for international students and early-career engineers running a US job search.
Comparing Cursor, Copilot, Claude Code and Windsurf
The four tools are set side by side with pros, cons, the type of work each suits and the kinds of teams that adopt them: Cursor as a VS Code fork aimed at small teams and full-stack work, GitHub Copilot as the most mature option with the deepest IDE integrations, Claude Code for complex coding and documentation, and Windsurf as a newer, less proven alternative. A short quiz on focus area, team size and priority suggests a starting point.
Setting up your first AI coding assistant
A four-step first-run walkthrough: choose a primary tool, connect your GitHub account and activate the subscription, configure inline suggestions, keybindings and model choice, then test it by writing a comment that describes the code you want. A companion list of video tutorials covers setup and advanced use for each tool.
Writing prompts that produce usable code
Four annotated example prompts — feature implementation, bug fixing, system architecture and performance tuning — each labelled from beginner to advanced. They sit alongside six habits that make prompts work: be specific about language and framework, supply project context, ask for explanations, iterate on the output, name edge cases, and state performance, security or style constraints.
Portfolio projects and interview expectations
Portfolio project ideas are filtered by a complexity slider, ranging from a weekend landing-page generator to a code review bot, a social platform clone and a custom editor extension, followed by a six-week practice path. A closing section lists the AI-tool phrases that appear in job descriptions and the questions interviewers ask about using assistants without sacrificing code quality.