Kerala is a must visit place, The boat house at allepey, long drive through the mountains between Tamilnadu + Kerala is one of the best experience you could have <3
But in its current state I don't think it actually replaces any of CodeQL's use cases. The most straight forward way to do what CodeQL does today, would to be implement a flow analysis IR (say CFG+CallGraph) on top of tree-sitter.
Thanks for the feedback. That's the exact plan :raised_hands:
current state of codepathfinder is less than 5% of what codeql has implemented. As security engineer, I personally use it and i'll keep adding + closing the gap.
Feel free to contribute ideas/feedback/bugs. Super appreciable honestly!
Yes, great point! We have an 'Assistant' feature where you can perform the flow on the device, and we automatically generate the test case as you navigate the app. As you mentioned, it’s a great starting point to quickly automate the functional flow. Afterwards, you can add more detailed assertions as needed. Technically we do this by using both the UI hierarchy from the app as well as vision models to generate the test prompt.
This comes up all the time. It seems like it would be possible, but imagine the case where you want to verify that a menu shows on hover. Was the hover on the menu intentional?
Another example, imagine an error box shows up. Was that correct or incorrect?
So you need to build a "meta" layer, which includes UI, to start marking up the video and end up in the same state.
Our approach has been to let the AI explore the app and come up with ideas. Less interaction from the user.
My way of thinking while working of B2 enterprise app, sometimes users come up from weird scenarios in feature with X turn on, off with specific edition (country).
Maybe the gpt can surf the user activity logs or crash logs and reproduce the scenarios as test case.
I've been a mobile developer for the past 10 years and my overall belief is that mobile app development has slower growth and companies with the mobile team are investing less on mobile Dev or testing+tooling+education. Do you think the market is still hot once it was to use your product?
I would say that mobile apps are still the primary format for launching new consumer services, incl. new apps like ChatGPT and many others. However we’ve observed that teams are expected to do more with less—delivering high-quality products while ensuring compliance, often with the same or even smaller team sizes. This is why we focus on minimizing the engineering burden, particularly when it comes to repetitive tasks like regression testing, which can be especially painful to maintain in the mobile ecosystem due to use of third-party integrations (authentication, payments, etc.).
> mobile apps are still the primary format for launching new consumer services, incl. new apps like ChatGPT and many others
OpenAI launched ChatGPT to the public on the web first and it took like, several months I think from I used their public web version until they had an official app for it in App Store. In the meantime, some third party apps popped up in App Store for using ChatGPT. I kept using the web version until the official app showed up. And probably having the mobile app in App Store has helped them grow to the number of users they have now. But IMO, ChatGPT as a product was not itself “launched” on App Store and they seemed to do very well in terms of adoption even when initially they only had the web version. The main point, that mobile apps are still desired, I agree with though.
