I like that Wolfia offers a new approach to querying codebases, using natural language rather than complex queries.
The accuracy of the responses is hit or miss. I often find that the tool doesn't fully understand the context of my questions.
It helps in quickly locating sections of code, but I still find myself needing to verify the information through the code itself.
The ability to ask questions in plain language is a fantastic feature for non-technical team members.
The results can be misleading, and it sometimes suggests code snippets that are outdated or irrelevant.
While it aims to streamline the process of finding information, it often creates additional confusion instead.
The ability to use natural language is a great concept and can be really handy in theory, especially for quick lookups.
The customization options are somewhat limited. I expected more flexibility to tailor it specifically to our unique codebase.
It helps in understanding large codebases better, but I often find myself cross-referencing the tool's answers with the actual code, which diminishes its intended efficiency.
I like the concept and the potential it has to simplify coding queries.
The user interface is clunky and not user-friendly. It takes too long to load responses, which is frustrating when working under tight deadlines.
While it aims to assist with finding information quickly, I often end up spending more time waiting for it to respond than I would have if I had searched manually.
I love the potential it has for speeding up my workflow when searching through extensive codebases.
The interface could use some improvements; it feels a bit outdated and not as intuitive as it could be.
It helps me find specific functions and classes quickly, saving me time during development.
I appreciate the idea of using plain language queries to retrieve codebase information. It simplifies the process for developers who may not be familiar with all the intricacies of the code.
Unfortunately, the responses can sometimes be inaccurate or incomplete, which can lead to confusion and wasted time. The machine learning aspect seems to need more training.
While it aims to help locate specific code quickly, I find that it often requires additional context that is not always clear, making it less effective for complex queries.