I really want to know if I am doing something wrong so let me know
I don't use MCPs, agents.md, skills.md, plugins, nothing. I just open a DeepSeek Harness workspace and start a brainstorming session with a request for an architecture.md prompt.md and plan.md files, then I go prepare coffee while it does all it needs asking questions along the way and writing them in decisions.md so it understands why we took that route
Minutes later a fully functioning product that I run, check it complies with the initial plan and then ask for minor cosmetic changes
I've been doing it for six months now while I see posts and posts about people making their harnesses do things I don't see the need for. Why so complicated?
No special prompts, no rehearsed inputs, just a simple "Hello my friend, today we are going to create an app for transportation, ask all the questions you may have and at the end write an architecture.md ..."
It works, it is simple, it is enjoyable, like a friend of mine and as such we treat each other
"Minutes later a fully functioning product that I run"
There are very few people who operate in this kind of environment aka 'small new product from scratch, move on'.
Like if that's what dev was, this would be easy.
Also FYI is no such thing as a 100x developer, other than some very senior architects who's wisdom and guidance affects the outcome of gigantic projects.
* IT Manager: scratches his balls, thinks about an app the org needs like ERP, CMS, WMS, assigns a project manager (one minute) then checks OnlyFans for the rest of the day
* PM: does all the brainstorming described above, oversees AI building the app to the last phase while playing Sudoku (one hour)
* Programmers: open Bugzilla-AI and start testing the app, asking for UI/UX cosmetic changes, AI fixes them all, does tests and code review too, programmers play Doom in the meantime
Repeat for a year, ask AI for employee reviews based on bugs reported, raise none, lay off almost all
bluegatty · · focus · HN ↗
AI is rapidly saturating it's ability to be useful and these products need to start to mature.
It's not 'fun' to manage 50 different broken MCPs and their variety of ways in which they are broken.
It was 'fun' at the start, now it's just 'broken technology'.
Astra and Opus 5.5 are the 'starting point' for the next era of AI where we expect robust tooling.
Kuyawa · · focus · HN ↗
I don't use MCPs, agents.md, skills.md, plugins, nothing. I just open a DeepSeek Harness workspace and start a brainstorming session with a request for an architecture.md prompt.md and plan.md files, then I go prepare coffee while it does all it needs asking questions along the way and writing them in decisions.md so it understands why we took that route
Minutes later a fully functioning product that I run, check it complies with the initial plan and then ask for minor cosmetic changes
I've been doing it for six months now while I see posts and posts about people making their harnesses do things I don't see the need for. Why so complicated?
No special prompts, no rehearsed inputs, just a simple "Hello my friend, today we are going to create an app for transportation, ask all the questions you may have and at the end write an architecture.md ..."
It works, it is simple, it is enjoyable, like a friend of mine and as such we treat each other
bluegatty · · focus · HN ↗
There are very few people who operate in this kind of environment aka 'small new product from scratch, move on'.
Like if that's what dev was, this would be easy.
Also FYI is no such thing as a 100x developer, other than some very senior architects who's wisdom and guidance affects the outcome of gigantic projects.
Kuyawa · · focus · HN ↗
* IT Manager: scratches his balls, thinks about an app the org needs like ERP, CMS, WMS, assigns a project manager (one minute) then checks OnlyFans for the rest of the day
* PM: does all the brainstorming described above, oversees AI building the app to the last phase while playing Sudoku (one hour)
* Programmers: open Bugzilla-AI and start testing the app, asking for UI/UX cosmetic changes, AI fixes them all, does tests and code review too, programmers play Doom in the meantime
Repeat for a year, ask AI for employee reviews based on bugs reported, raise none, lay off almost all