Well, not everyone can do this well or continue to research, so we need to rely on tools. Among them, the most basic tool we can use is the file tool. Have you tried using the file tool? The limitations of the file tool are that I am the controller. I need to orchestrate tasks like generating and bringing in code, testing, and so on. Therefore, integration needs to be done by me. Also, due to the limitations of the context window, it cannot interpret large tasks or large code bases. Furthermore, since it does not use the GPT-4 model as it is, there are current limitations in what Copilot Chat or File Tool can do compared to what was possible with GPT-4. It is constantly evolving, so I am talking about the current limitations as of February 2024, at the end of January.

I am telling a story. So, in order to improve those things, we have applied technologies like Leg that increase memory context, and then technologies like Plan and Solve have been included. Also, when the internal codes are exposed to places like OpenAI, our intellectual property leaks externally, so there are many cases where we cannot use them. Therefore, we also need to consider utilizing closed-source LLM technologies. In the case of Filer, they are all just used publicly, so various tools that I will talk about later can use closed-source LLM like codes. So, in the last session today, there is also content on how to apply closed-source LLM. Among various IDE tools, there is something similar to Filer called Cursor IDE.

Cursor IDE is extending the VS Code, so what it does is, it indexes the entire code base in a vector store, which is a technology of vector databases. So, in order to facilitate extensible generation, it automatically extracts various related codes when I request various codes. For example, if I want to fix a bug in the code, it automatically extracts various related codes related to that bug from the indexed whole code base. It then presents only the source code parts that need to be reviewed within a limited context window through LML. This tool is designed to lead us to the optimal results we desire. It provides explanations in the overall context. Once I install Cursor IDE here and actually use it, for example, I will show you one thing. If I look here, there is a function called load. I will try asking where this function is being used. Let me do it here like this, and then in the chat or.

I will ask where this function is used. When you just send it, it only understands the text in the file because it costs money. The default option is to send only a small token amount. So, it won't be able to explain well where it's used. It will say it can't confirm. But when you mention it and ask to check in the entire codebase, different results come out. First, I'm querying. This thing is doing semantic queries. So, in our entire codebase here, all the files where this load message is used are first found. Then, from what is found, we extract only the areas related to chunks, meaning areas of sentences, and put them in the context window.

You can submit it in one place and ask questions together. It's like a librarian. If I'm a lawyer, I go to the library and find all the things related to this patent, and bring them back, that's what scraping is. When the lawyer sees what has been scraped, the lawyer decides if this patent is possible or not. So, the message here is being used, and additional messages about where it is used will come out. These things will now be expanded, so you can use things like custom IDs. And if you use custom IDs, you can do a lot more work. For example, if there is a bug in the related code, you can find that bug as accurately as possible, and because you understand the entire context and when you generate the code, what is generated is GPT-4.

Through this, it will go, so GPT 44 just talks about this and that. This needs to be edited here and there. With these words, you need to touch multiple codes, so you need to edit the configuration file and modify parts of a specific source code in several places. Understanding the context, it has its own model, which is a fine-tuned model that identifies how to modify which part of which file. Therefore, it automatically finds and makes the necessary edits to that part. By using this kind of console, you can increase productivity. So, there are running comparisons, and since there is a comparison on Medium, there are tools like file eraser and add, etc., so it would be good to try using all of them once.

3. Copilot의 한계와 Cursor IDE

최고의 전문 컨텐츠로 가장 쉽게 시작하는 AI와 마이크로서비스 아키텍쳐 채널을 만들어가는 유엔진입니다. 

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