Thank you for sharing your thoughts.
If you don’t mind, could you share the GitHub repository of your product?
I’m not very good at promotion or presentation — honestly, I’m below average.
So if I could see an example of how you do it, it would be incredibly helpful for me.
If you don't mind me asking — could you share which blogging platforms you recommend?
I live in Asia and only know local platforms, but since the user base is quite limited here, I'm looking for platforms where I can post in English and reach a broader audience.
Thank you very much for your response.
I didn’t get a notification yesterday and thought my question had been buried.
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You’re absolutely right — I need to shift from treating this as a hobby to treating it as real work.
But I’m still a beginner.
If you don’t mind, could you share some of the things you did to gather early user feedback?
I think IntelliJ is a great tool on its own.
Recently, they even added a feature that auto-injects dependencies when you declare them as private final — super convenient.
I can’t help but wonder if the folks at JetBrains are starting to feel a bit of pressure from tools like Cursor or Windsurf
That's right. Unfortunately, the system currently forces the use of GPT-4o.
To be honest, I didn’t realize that model selection would be such an important point for users.
I believed that choosing a high-quality model with strong reasoning capabilities was part of the service’s value proposition.
But lately, more users — including yourself — have been asking for support for other models like Claude Sonnet or LLaMA.
I’m now seriously considering adding an adapter feature.
Thank you for your feedback — I really appreciate it.
1. Im sorry. i it was typo on path, i fixed it so you can see now.
2. from now, i only allow to use gpt-4o, because the requests involve relatively long context windows, which require high-quality reasoning.
Only recent high-performance models like GPT-4o or Claude Sonnet are capable of reducing the manual workload for this kind of task.
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but still, if user want to use other models , i can make adapter features for various models
Your point is valid.
In real-world work, tests should focus on parts that are difficult to verify, and if everything passes on the first try, it's often a sign that something deserves a closer look.
That said, what I wanted to highlight in the example was a contrast — tools like Cursor and other general-purpose models often fail to even generate simple tests correctly, or can't produce tests that pass.
So the goal was to show the difference in reliability.
The requests involve relatively long context windows, which require high-quality reasoning.
Only recent high-performance models like GPT-4o or Claude Sonnet are capable of reducing the manual workload for this kind of task.
I’m not very good at promotion or presentation — honestly, I’m below average. So if I could see an example of how you do it, it would be incredibly helpful for me.