I appreciate how it supports multiple programming languages. As I work on different projects, the flexibility is a big plus.
The suggestions can sometimes be too generic and not tailored enough to my specific coding style or the context of my project.
Refactory aids in improving the overall quality of my code by highlighting potential performance issues, which ultimately benefits the long-term maintainability of my projects.
The concept of using AI for code analysis is intriguing.
In practice, it has been a huge disappointment. The suggestions are often irrelevant, and it feels like a wasted effort.
Unfortunately, it hasn't solved any significant problems for me. I still find myself reviewing my code manually.
The integration with different IDEs is seamless, which makes it easy to incorporate into my daily workflow.
Sometimes, the tool can be a bit slow when processing larger files, which is frustrating when I'm in a hurry.
It helps me identify code smells early, preventing them from becoming bigger issues later. This saves me time in the long run.
The idea of real-time analysis is great, and it does help in identifying some basic errors.
Unfortunately, the tool often misses more complex issues and can provide misleading suggestions. I've had to ignore a lot of its feedback, which defeats the purpose.
It helps to some extent with code readability, but I find that I still need to rely on my judgment for critical problems, which can be frustrating.
Refactory provides real-time feedback on coding patterns which can be helpful for identifying issues as I code. The machine learning algorithms are somewhat effective in spotting common mistakes.
The interface could be more user-friendly. Sometimes, it's overwhelming to sift through the suggestions provided, especially for larger codebases.
It helps me catch errors early in the coding process, which saves time during debugging. However, I still have to verify many suggestions manually.
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