I think this post is riddled with bots. One is marketing another competing offer, others complaining about the UI component not being open source too...
They're definitely amazing for the price. I like that you can do quick back and forth with them. but they're not very smart. When I need something to actually analyze or write good code and not just refactor and move things around, they're not good for that.
Agreed. For harder tasks, I like to go to GPT 5 thinking mode, but I'm considering other options.
Some times I've had faster success with some of the larger Qwen3 models (480B and 235B variants). I like them in combination with the Repomix CLI to copy an entire project into context and get a response very quickly with some of the accelerated providers like Cerebras.
> High read/write and low-ish size. Also it's faster
You posted a vague and meaningless assertion. If you do not have latency numbers and cost differences, you have absolutely nothing to show for, and you failed to provide any rationale that justified even whether any cache is required at all.
> DynamoDB On-Demand: Typical latency is single-digit milliseconds (usually between 1–10 milliseconds for standard requests)
I know very little use cases where that difference is meaningful. Unless you have to do this many times sequentially in which case optimizing that would be much more interesting than a single read being .5 ms versus the typical 3 to 4 for dynamo (that last number is based on experience)
> At 10k RPS you'll see a significant cost savings with Redis over DynamoDB.
You need to be more specific than that. Depending on your read/write patterns and how much memory you need to allocate to Redis, back of the napkin calculations still point to the fact that Redis can still cost >$1k/month more than DynamoDB.
Did you actually do the math on what it costs to run Redis?
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