Chat‑Style Programming with Cursor: Practices, Insights, and Tips

Author: Lü Haoyu. Over the past six months the author has deeply explored Cursor, an AI‑powered programming tool launched in January 2023 by four MIT undergraduates. Cursor aims to redefine the software development process by emphasizing engineering skill over raw compute power and introduces a "chat‑style" programming paradigm.

Compared with traditional coding, chat‑style programming brings three core breakthroughs: writing code with natural language, iterating at the speed of judgment, and blurring the boundaries between product managers, designers, and developers. The author describes how Cursor acts like a patient mentor that can quickly validate ideas, suggest solutions, and expand the developer’s perspective.

As an illustration, the author built a local Sudoku game in just 16 seconds by prompting Cursor with "Write a Sudoku game using JavaScript". Cursor’s Agent mode generated the complete code, which ran instantly, demonstrating real‑time feedback.

Cursor provides four main capabilities: Tab, Inline chat, Ask (formerly Chat), and Agent. These support a workflow of defining goals, planning solutions, developing, and verifying. The key shift lies in how requirements are expressed to the AI.

The article emphasizes the importance of clear communication with AI: provide sufficient context, use structured expressions such as "persona + task + context + example + solution", and format prompts in Markdown to aid the model’s understanding.

A "reverse Feynman learning" method is proposed, where the AI is prompted to explain concepts back to the user, encouraging deeper thinking and uncovering hidden requirements.

Applying a divide‑and‑conquer strategy, the author suggests breaking complex problems into small, verifiable steps. Use the Ask mode to explore solution alternatives, record insights in Cursor’s Notepad (which can be fed to the Agent), and execute tasks incrementally rather than generating large code blocks at once.

The Model Context Protocol (MCP) is introduced as a universal connector that gives AI access to external data sources, eliminating the need for custom integrations and enabling richer context for AI‑driven workflows.

Ten practical Cursor tips are listed:

1. Terminal chat: invoke commands with natural language via Command + K. 2. Generate comments for existing code. 3. Auto‑generate commit messages. 4. Visualize project architecture using Ask and Mermaid. 5. Record key ideas in Notepad. 6. Use @Git to detect code issues. 7. One‑click rollback with checkpoints. 8. Set custom prompt rules. 9. Drag‑and‑drop files to add context. 10. Use @web for live web searches.

The Cursor team’s perspectives include the future of engineers as human‑AI hybrids, the growing importance of creativity and decision‑making, higher‑level abstraction (e.g., pseudo‑code) that AI can translate into executable code, flexible abstraction layers, and tools that predict behavior beyond natural language.

The concept of "flow" (心流) is linked to Cursor: clear goals, instant feedback, and appropriately challenging tasks help developers achieve a state of optimal experience while coding.

In conclusion, the author proposes a new definition of software value: Innovation × (Requirement Clarity × AI Understanding) × Engineering Efficiency, and wishes readers to enjoy programming and attain flow.