I m one of the devs who are writing less code now and doing more Prompting , damn I hate all of these fancy new buzzwords. Anyway, I m bored and don t want to write long prompts all the time. Anyone know a good tool (should work with Cursor)? If nobody knows one, I will need to do one :(
A lot of WordPress code written with AI works on the first try, but WordPress adds its own traps: missing nonce and capability checks, unescaped output, and queries that are slow on big sites.
When AI hands you a plugin or theme snippet, what is your review routine before it touches a client site? Do you use a linter like PHPCS with the WordPress standards, a staging site, a second AI pass, or just read it line by line?
We run 30+ models across six studios in Arteza and every one of them belongs to someone else. If a provider retires a version or quietly reweights it, the thing a paying user made last month stops being reproducible this month, and I have no changelog to hand them.
Pinning a version only delays it. The pin gets deprecated too, usually with a few weeks of notice, and the replacement is better on the benchmark and different on the exact prompts people have built habits around. Better is not the same as the same.
The part I don't have is detection. You'd need a fixed set of prompts running on a schedule with a person looking at the outputs, which is an eval suite for taste, and I've never seen one that works. So in practice we find out when someone writes in to say it used to look right.
If you're building on models you don't own, do you check for drift at all, or does a user tell you first?
Quick question for those of you dealing with AI architecture and scaling.
Right now, we rely pretty heavily on n8n at our startup. It s been amazing for moving fast, tying APIs together, and automating workflows. But looking ahead, I'm trying to figure out the long-term play.
At what exact point does it make sense to move away from n8n (and paying for third-party LLM APIs) to actually build out a specialized, local RAG on physical hardware?
Hi, I m an app developer who s shipped many projects the old-school way (hand-coding) for over a decade. Recently AI tools have exploded - speeding up my production like crazy.
What s happening:
- Idea to MVP: Creators focus on ideas while AI writes most of the code.
I do WordPress and WooCommerce fixes for clients. A bug that used to take an hour to find can now be located in ten minutes with AI help, but the careful part (testing on staging, checking nothing else broke) still takes the same time.
So what do I charge for? The minutes it took, or the risk and the result the client gets?
I m a product designer, and prototyping has always been part of how I explore an idea before it gets built.
But since I started using AI to build more things myself, that process has been changing.
For some ideas, I can now get to a working MVP quickly enough that building it becomes part of the exploration itself. At that point, I m not always sure a separate prototype gives me the same value it used to.
I don t think prototypes are becoming unnecessary. But I do think the point where I choose to prototype versus build is changing.
My background is small business and government contracting. I ve never been a software engineer. I don t have a computer science degree. Honestly, a year ago I probably would ve panicked if someone opened a terminal in front of me.
Now I m sitting here at stupid o clock in the morning, building an actual SaaS application with AI. A real, multi-stage thing with logic, workflows, databases, testing, bugs, more bugs, and an alarming number of conversations with Claude that basically amount to: Okay. That broke something else. What did you do?
