5x Your Coding Quality With These Cursor Pro Tips
AI Summary
Summary of Video Transcript
- The video is a tutorial on enhancing cursor usage with a tool called Composer.
- The presenter has a software engineering background and has been using cursor for a month.
- The project demonstrated is a podcast transcript editor for editing audio transcripts without waveform editing.
- The goal is to add fine-grain permission control for users to see only their transcripts and to invite others for collaborative editing.
- It’s emphasized that tasks should be broken down into smaller, testable steps for AI to handle effectively.
- The presenter uses Composer to generate code and suggests using the “codebase context” feature for better AI understanding of the project.
- The video walks through several steps of implementing the new feature, including updating the database schema, modifying access control, and updating the UI.
- The presenter advises committing changes to git frequently and providing project context to AI for better code generation.
- Testing is highlighted as crucial, even with AI-generated code, and the presenter prefers light end-to-end tests.
- Playwright, a browser testing framework, is used for testing, and the presenter shows how to generate tests with Composer.
- The video concludes with the presenter suggesting that breaking down tasks leads to more reliable and maintainable code.
Detailed Instructions and Tips
- Break down large tasks into smaller, testable steps for AI to handle.
- Use the “codebase context” feature in Composer to provide AI with full context before implementation.
- Commit changes to git frequently to maintain a clean working state.
- Provide project context in cursor rules for consistent AI implementation.
- Use Playwright for end-to-end testing and generate tests with Composer.
- Run Playwright tests using the command
npx playwright test --ui.URLs and CLI Commands
No specific URLs, CLI commands, or detailed instructions such as website URLs were provided in the transcript.