Our great sponsors
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
There’s a list of Nitter instances here, if the flagship instance isn’t working (this happens from time to time): https://github.com/zedeus/nitter/wiki/Instances
That AI is transformative for development is not in doubt any more. Just this past week, I've been able to build two medium sized services (a couple of thousand lines of code in python, a language I hadn't used for more than a decade!). What's truly impressive is that for the large part, it's better than the code I'd have written anyway. Want a nice README.md? Just provide the source code that contains routes/cli args/whatever, and it'll generate it for you. Want tests? Sure. Developers have never had it so easy.
Another thing to note is that for code generation, GPT4 runs circles around GPT3.5. GPT35 is alright at copying if you provide very tight examples, but GPT4 kinda "thinks".
Shameless plug: I have this open source app which automates a lot of grunt work in prompt generation - https://github.com/codespin-ai/codespin-cli
Do you think this worked so cleanly because there is a tutorial similar to this and its in the dataset?
https://github.com/liabru/matter-js/wiki/Tutorials