StefanWestfal

I appreciate the new features that Next.js is rolling out, such as the app router. However, I'm curious if there's a risk of future features working exclusively, or at least best, when hosted on Vercel. This could be a strategic move by Vercel, creating vendor lock-in to get people to host on their platform. On the other hand, it might not pose any issues, and Next.js may perform well on other platforms after overcoming initial obstacles. Do you believe that choosing Next.js could lead to vendor lock-in in the mid-to-long term?

I would like to build a proof-of-concept (POC) app. For this, I need to access a device's geolocation and orientation in space. I have been reading about web APIs on Mozilla Developer Network. The app should run on mobile devices, but I have never published anything on the Play Store or App Store. I assume that maintaining multiple platforms takes a lot of work. How viable would a webpage be that users can visit from their devices, which prompts for access to sensors like the gyroscope and geolocation? Would there be a quality difference between accessing sensors via the web and via a native app?

Note: Time delays is not really an issue

Currently I am working on a Python code base with 10k - 100k loc. The service does not depend on Python SciPy tooling or similar but is web backend on top a large db. I worked with Python for several years and it is still my go to language for a lot of task. However I feel that Python advantages like dynamic typing become increasingly disadvantages when the code base grows. How do you deal with Python in large code bases? We use MyPy, black, Tox, pytest etc. any tips? I feel like (for the next project) moving to a typed language like Kotlin/Go etc. might be the better choice then using Python when not depending on the SciPy/ML/DL stack.

So far I used ChatGPT Plus when I had questions, needed examples etc. but I was wondering what else can be done with it. The problem for me right now is that the web is full of people trying to exploit interest in GPT to generate views. While there is nothing wrong with that if good content is created in exchange for views/money I feel it is hard to filter out noise. That's why I am asking my question here.

I use mainly Python and Typescript and played with Go, Rust, and C. However, when I need to solve a problem I always fallback to Python and/or Typescript as they are the ones I know best and the seemed to be used a lot. So, outside of ares like systems engineering, infrastructure, etc., to which extend does a career typically depend on the known programming languages?