I've had LLMs assist me in putting together the comparison. I did edit it, and found the comparison good and wanted to keep it. The rest of the post is all hand written and thoroughly manually tested.
what's the difference between this and just exposing opencode running in colima or whatever through tailscale? I got the impression that Clawdbot adds the headless browser (does it?) and that's the value. Otherwise even "nano"claw seems like uneccessary bloat for me.
When I select my country a different text than the default "Reserve NexPhone (Direct Shipping)" appear. And the line "This is a fully refundable reservation deposit" is no longer there.
If I had some heartfelt advice for the Mastra devrel team it would be to shut up about about Gatsby.
I'm a happy Mastra user and I'm biased to their success. But I think linking it to an unrelated project is only going to matter to non-technical CXOs who choose technology based on names not merits. And that's not the audience Mastra needs to appeal to to be successful. Good dev tools and techs trickle from the bottom up in engineering organizations.
Thanks for the feedback. We hear from a lot of devs with fond memories of Gatsby but if it cuts the opposite way for you that's also fair!
Most of us spent a lot of the last decade building Gatsby so it's sort of a personal identity/pride thing for us more than a marketing thing. But maybe we need to keep our identity small! Either way, thanks for saying something, worth thinking about.
I don’t mean to be provocative, but given that it’s in the title of the post, of course I checked whether the marketing page for this framework was built with Gatsby - seems like it’s Next.js though. Any reason Gatsby was not chosen if it’s a point of pride?
> I have a hard time trusting what I don't understand
Who doesn't? But we have to trust them anyway, otherwise everyone should get a PhD on everything.
Also for people who "has a hard time trusting", they might just give up when encountering things they don't understand. With AI at least there is a path for them to keep digging deeper and actually verify things to whatever level of satisfaction they want.
My issue is, LLM fooled me more than a couple of times with stupid but difficult to notice bugs.
At that point, I have hard time to trust them (but keep trying with some stuff).
If I asked someone for something and found out several time that the individual is failing, then I'll just stop working with them.
Edit: and to avoid with just anthropomorphizing LLM too much, the moment I notice a tool I use bug to point to losing data for example, I reconsider real hard before I use it again or not.
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