api.video-nodejs-client VS configs

7. api.video: Best Complete Toolkit for Integration

I'm currently working on a mobile project that involves watching video content. I switched from using static .mp4 files to HLS video-on-demand streaming with adaptive bitrates - that way the videos should watchable even though users have bad connection speed. I have managed that setup through hosting vidoes on api.video, which gives you a link to the HLS stream.

Here is our website : https://api.video

We are looking for talented GO/PHP developer to join our Api team.

You said Vimeo is not working out for you (hard to believe Vimeo is the cause of your issues and not you). So alternatively then, your best bet is to use Mux.com, Cloudflare Stream, or api.video. They are all kind of similar but specialize in handling streaming video. You will still pay out the nose. Streaming video is expensive in general.

Api. video is one of the fastest-growing startups in the industry.

The tutorial can be broken into three parts. In the first part, you will use api.video’s Node.js Client to create your own livestream service. In the second part, you will create a simple React App to host your livestream service. The UI can be built using any framework you prefer. For this tutorial, we’ll stick with React. Finally, you will connect Zoom to your livestream service for users to be able to view it.

I was a long time pre-commit fan, just converted to https://trunk.io/ though

Trunk | https://trunk.io | Sr Full Stack / Sr C++ | Full-Time | Remote / Hybrid, SF

Trunk is an a16z funded dev tools startup, redefining software development at scale. We've built three products so far and have plans for more:

* Trunk Check: a universal linter/formatter, available as a CLI, VSCode extension, and CI check;

Trunk is also a command line tool, so you can run all these checks on CI, with the same versions of tools you use locally

Tests are a good way to assert an invariant that you expect of your codebase, but as with all things, resolving the error can get a bit tricky/frustrating.

The canonical example in my mind is any kind of autofix-able linter, where there's some kind of patch (or more nuanced autofix) that the linter can generate on-the-spot for you. With a sh_test construct (or any other unit test), you generally find yourself printing out some command that the user can run to fix things, which in a sufficiently large codebase can get really frustrating.

(My company - https://trunk.io - is actually building a universal linter as part of our product offering, and we already have a system to write custom linters with varying levels of sophistication that can plug into both your IDE and CI system.)