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It is really funny to me that in 2026 a coherent, grammatically correct response is assumed to be written by an AI. Oh how the tables have turned.
- the ones who don't see any value on AI for coding and dismiss it as a fad at every change they get
- the ones who are in love with the new tools and adopting as many as they can on their workflows
I know the arguments of the second bunch well. But very curious about what the "AI is a fad" bunch thinks will happen. Are we going to suddenly realize all these productivity gains people are claiming are all lies and go back to coding by typing characters on emacs and memorizing CS books? Will StackOverflow suddenly return as the most popular source of copy-paste code slop?
Agent skills are overengineered? Seriously it’s just md with description.
As mentioned in the article, its not clear to me what the advantage over OpenAPI is. Surely a swagger file solves more or less the same issue.
That said, one minor nice thing about the MCP servers is that they operate locally over stdin stdout, which feels a lot faster than HTTP/Rest.
MCP is just a small, boring protocol that lets agents call tools in a standard way, nothing more. You can run a single MCP server next to your app, expose a few scripts or APIs, and you are done. There is no requirement for dozens of random servers or a giant plugin zoo. Most of the “overhead” and “security nightmare” worries assume the worst possible setup with zero curation and bad ops. That would be messy with any…
> Most of the “overhead” and “security nightmare” worries assume the worst possible setup with zero curation and bad ops. You'll be surprised to learn that these are extremely common, even in large corporations. Security practice is often far from ideal due to both incompetence and negligence. Just this week, I accidentally got the credentials for the account used in our CI systems. Don't ask me how this could possib…
> Don't ask me how this could possibly happen.
AI for coding itself is a fad
At this point, when people say this I just assume they’ve not used the latest models or haven’t invested time in learning how to use these tools properly. There’s slop out there, yes, but in the hands of an engineer who cares to use tools well, LLMs allow you to move much more quickly and increase the quality of your output dramatically.
AI cannot produce better quality code than someone who is actually qualified in the problem domain.
What I've seen AI be very good at is creating a lot of legacy code very quickly, which itself needs extensive use of AI just to maintain it.
A decent approach to move quickly for PoC or prototypes, or to enable product managers to build things without a team. But obviously not something you can build a real company on.
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strongly agree! can't see any use of LLMs beyond tabcomplete and navigating an unknown codebase.
Assuming that wasn't trolling, what's the last thing you tried and when? Latest Claude Code can do a lot over lots of domains. I recommend giving their top plan a fair chance for a month. Also most people who I see succeed from the start are technical managers. That is people who can code, who are used to delegate (good at phrasing) and are more likely to accept something that works even though is not character by ch…
There is no responsibility with AI. It doesn't care about getting it right or making sure the code delivers on what the company needs. It has nothing to prove, no incentive to supporting anything.
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It is really funny to me that in 2026 a coherent, grammatically correct response is assumed to be written by an AI. Oh how the tables have turned.
It's not just the grammar; it's the tone of voice. The result? A post that reads like nails on a chalkboard.
The brutal truth: this is reality, stop pretending it isn’t.