Interesting, Qwen2.5-coder:14b failed on task nor in chat with a simple problem. It may have something to do with the extensions Continue and Cline but when I used Qwen2.5-coder:14b as stand alone inside Ollama and just chatted with it and gave the coding problems, it's able to solve it and far from the slow response I had from last time.

Then I opened VS Code for Insiders and turns out it comes with a GPT 5 mini in the form of raptor.mini and though is free and also capped, the credits are a fraction of from those larger frontier models.

Basically the AI model and agent that I needed integrated with VS Code, a problem I tried so solve for days now is already solved with raptor.mini 🤣. No need to integrate qwen2.5-coder:14b with VS Code as it never worked for me.

End the end, what I have now are the following:

1.) OpenAI's ChatGPT Chat in the web which is already powerful enough but no integration with IntelliJ and VS Code

2.) OpenAI's Codex which is integrated with my IntelliJ but is subscription based, that means I pay for a plan.

3.) If say my internet went down, I can resort to using Alibaba Cloud's Qwen2.5-Coder:14b on my local running on Ollama and with no integration with my IDEs, I can use it's chat features like ChatGPT Chat on the web.

4.) VS Code with integration of raptor.mini (basically a GPT 5 mini tweaked by Microsoft)

So, closing this problem now.

What comes next is running llamaC++ on my old laptop AMD A8 and on an old Oppo phone, also trying the same with AirLLM.

Then a project on scaling local AI models via clusters.