Next Steps- Complex Coding such as Computer-Aided Design with ChatGPT Deep Research

Here we analyze complex coding with the latest version of ChatGPT’s Deep Research.

Let us see how to do complex programming such as in CAD (Computer Aided Design) with chatGPT Deep Research. What are the hurdles and how to overcome the difficulties in coding of CAD like software automation? I have personally worked for years in these domains so I choose this domain, there are various other domains once can dwell into.

— So, we give chatGPT from openAI, some questions to code in VC++. MFC or Microsoft Foundation Class, these are typically used in traditional with UI based applications, one example being CAD (Computer Aided Design).

— CAD can be used in chip designs or even in architectural software applications. It is a very high-paying profile. With chatGPT Deep Research by your side, you can excel in work.

— Some typical problems here are, how to find Null Pointer Allocations and dangling pointers.

— Yes the whole world does not use just Python and new languages, there are still some huge old patches in old LLL, HLL.

— CAD applications require the use of hundreds of API’s from MFC, VC++ and more third party libraries.

— Some work in CAD relies on Standard Template Libaries as well.

— The work often requires the use of pointers and running into null pointer allocations, at times navigating a button from plane one to next plane is not easy.

— Many times third-party toolkits such as Stingray are required to be used.

—These libraries are difficult to DEBUG when met with some issues, such as button realignment and so on.

— In the same way, there are Adobe third-party tools used with C++, for enhancing work with Adobe Framemaker which are used in technical writing toolkits such as FrameMaker.

— If such things are automated human work reduces to validation and adding and enhancing the quick fixes.

— Refactor old propriety codes to newer languages such as Python automatically timely.

— Code refactoring can be an easy thing to do then.

—Can we have an option automatically refactor one code to another language, with all debug and test files set?

— Can we do validation automation with this chatGPT Deep Research?

See the Appendix for an example on chatGPT of UI in VC++ , MFC for UI button managament. Its good for starting up, it still need a lot of work to do.

This code in the Appendix still needs human intervention, there is a need for a collaborative upload of code and integration of new code after reading what users have written before.

Appendix I

Question to code for CAD application: “Write a code in MFC VC++ to iterate over all buttons and find the one which was clicked by user”

Next, here are the response of openAI Deep Research:

Appendix II

Third party tools such as:

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