I've been experimenting with Claude as a day-to-day tool while working with Node.js, MongoDB, and RabbitMQ. Not to learn the stack — I'm already familiar with it — but to see how much faster I can move with an AI in the loop.
The short answer is: quite a bit faster, in the right situations.
The biggest wins aren't the glamorous ones. It's the stuff that's just slow — writing boilerplate, scaffolding out a Mongoose schema you've written a dozen times before, setting up a RabbitMQ consumer with all the right acknowledgement and error handling wired in. You know how to do it, you just don't want to spend twenty minutes doing it. Claude handles that well.
It's also good for the stuff you know conceptually but haven't touched in a while. Dead letter queue configuration. Mongoose middleware hooks. Connection retry logic for RabbitMQ. The kind of thing where you'd otherwise be tabbing between docs and Stack Overflow to jog your memory.
Where I've found it most useful is building proof of concepts. Describe what you want to validate, and you can have something running in a fraction of the time it would normally take. With RabbitMQ in particular, being able to say "I want a producer and consumer setup with a dead letter queue and retry logic" and get a working skeleton back immediately is a genuine time saver. It's not production code, but that's not the point — the point is proving the idea works before committing to building it properly.
It's not a replacement for understanding what the code does. Claude will produce something that runs, but if you don't read it and understand it, you'll hit problems later. The best workflow I've found is to treat it like a fast first draft — take it, read it properly, adjust what needs adjusting, and move on.
The efficiency gains are real. The key is knowing when to use it and when to just write the thing yourself.