My Insights on Combining AI-Assisted Programming Tools
In recent years, AI has been widely applied in the field of programming. Through exploration, I’ve developed a set of highly efficient methods for combining AI-assisted programming tools. From complex algorithms to front-end development and even code decompilation, these tools have significantly enhanced development efficiency.
**I. Tool Combinations and Their Positions**
1. OpenAI o1: Architect and Algorithm Expert
o1 is like a “brain trust.” It takes on the role of a complex algorithm designer and overall architecture thinker. With extensive knowledge and strong reasoning ability, it can propose solutions from unexpected angles. Although it has a limited context length and restricted number of calls, it performs exceptionally well on key issues.
2. Cursor and Claude 3.5 Sonnet: Efficient “Coders”
Claude is powerful and fast in generating code and supports an extremely long context. While it may be slightly weaker in algorithm design, when paired with o1, o1 provides the ideas and Claude is responsible for code implementation. In terms of an IDE, Cursor offers an excellent context control experience and is suitable for debugging and collaboration. GitHub Copilot can write unit tests.
3. v0.dev and Claude web version: Front-end Development Power Tools
v0.dev can generate web pages from design screenshots, which is simple and efficient. When starting from scratch to design a web page, the Claude web version is more appropriate as it can design a complete page and continuously optimize it. However, v0 has slightly more restrictions on prompts.
4. Gemini: Decompilation and Long Code Analysis Expert
It supports an extremely long context and is helpful for complex code decompilation and analysis, especially when analyzing obfuscated or tens of thousands or even hundreds of thousands of lines of code.
**II. Efficient Workflow with Tool Combinations**
1. For complex problems, turn to o1 to obtain architecture or algorithm ideas.
2. Use Claude or Cursor to quickly generate code.
3. For front-end development, choose v0 or Claude depending on the needs.
4. Assign code analysis tasks to Gemini.
**III. The Value and Cost of AI Tools**
These AI tools have boosted work efficiency, but expenses are also increasing day by day.
I hope my insights can inspire you. Welcome to share your favorite combinations of AI programming tools and let’s explore more possibilities of AI together.
