Introduction

Vibe coding—describing what you want in plain language and iterating with AI—is popular for drafts, demos, and learning. The tools (Cursor, Windsurf, Copilot Workspace, etc.) are improving. We look at what they’re good at and where they fall short.

What “Vibe” Tools Do Well

Scaffolding and exploration Starting a project, trying a new framework, or exploring an API is faster when the AI generates boilerplate and examples. We show typical workflows and how to prompt for maintainable code.

Refactors and explanations “Explain this” and “refactor to use X” are high-value use cases. We discuss how to get consistent, reviewable output and when to still rely on senior review.

Limits and Best Practices

Quality and ownership Generated code can be brittle or over-engineered. We recommend review, tests, and incremental adoption so vibe coding accelerates rather than replaces judgment.

Security and IP We touch on data handling and licensing so you can use these tools without exposing secrets or violating policy.