I laughed at this. I'm all for people crafting their own tools, but it really feels like everyone's reinventing the same handful of wheels for agentic development.
Any conversation
például Telegram, Facebook, stb., de ilyen ügynökökkel bárki találkozhat naponta, egyből felismerhetők, meg is kell őket szépen jelölni, és egyre bénábbak a szövegük is, ahogy megfigyeltem, gondolom, attól függ, ahogy promtolják, vagy instruálják őket, ha a gazdájuk kifogy az ötletekből, a projekt hamar elfárad, a bot csak unalmas h#lyeségekre képes egy idő után
for example, Telegram, Facebook, etc., but anyone can encounter such agents every day, they are immediately recognizable, they need to be nicely labeled, and their text is getting lamer and lamer, as I have observed, I think it depends on how they are promoted or instructed, if their owner runs out of ideas, the project quickly gets tired, the bot is only capable of boring nonsense after a while
we also launched Norma! :)
It checks AI-generated code for security, quality and maintainability while the agent is still working, rather than after a pull request opens. The output is deterministic. Here the demo link: portal.qualityclouds.ai/demo
I needed to process 20,000 json files & 20,000 JXL files. I'm pulling together a website from them all. Anyway, started with emacs elisp to handle it all, just because I've not done that before. Went kinda ok, and I'm gonna use org-mode to export it all to a website (done that bit loads of times before).
In the end, I ended up breaking out my C programming skills (late 80s->nowish). It was a delight. Nothing more refreshing than writing raw code, that doesn't rely on 3rd party code/libs.


