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angelahack1

1 カルマ登録 2 か月前
I built a Django/Channels AI assistant with hybrid RAG, LangChain, and a visual agent workflow designer, but I'm so unknown. https://xaiht.org I always get blocked, sorry, I'm so so so frustrated and sad.

投稿

I've created a Workspace Comparator, I hope you use it

github.com
1 ポイント·投稿者 angelahack1·一昨日·1 コメント

Tlamatini – Local-first AI dev assistant with 68 agents and hybrid RAG

github.com
1 ポイント·投稿者 angelahack1·2 か月前·1 コメント

コメント

angelahack1
·一昨日·議論
I created a project comparator that's much smarter and more powerful than Beyond Compare because it compares files, not directories. It uses an LLM with an Ollama connection to detect things like a file called app.exe actually being an app.java file and subject it to comparison. It's intelligent! I called it "Workspace Comparator." It's free and open-source software, and I'd love for you to use it if you find it useful. If you'd like me to make modifications, please send a pull request. It's a personal project, and it's licensed under the MIT license. I hope you use it; it will truly be helpful.
angelahack1
·先月·議論
Try Tlamatini she can create games in conjuntcion with UNREAL ENGINE! Check at: https://xaiht.org
angelahack1
·先月·議論
Not my AI-assistant dev myself, check it at: https://xaiht.org
angelahack1
·先月·議論
I think is changing just the abstraction level, one must find the addequate size of every vibed task in order to be controllable, manage-able, and quelify-able, In my organization we use Tlamaitni, an AI asistant with workflow desginer based on deterministic agents that gives us complete control over AI, check it: https://xaiht.org
angelahack1
·先月·議論
I think is changing just the abstraction level, and that leads to a 80% testing and 20% vibe code adaptation, you must find the addequate size of every vibed task in order to be controllable, manage-able, and quelify-able, In my company we use Tlamaitni, an AI asistant with workflow desginer based on deterministic agents that gives us complete control over AI, check it: https://xaiht.org
angelahack1
·先月·議論
I think is changing just the abstraction level, and that leads to a 80% testing and 20% vibe code adaptation, you must find the addequate size of every vibed task in order to be controllable, manage-able, and quelify-able, In my company we use Tlamaitni, an AI asistant with workflow desginer based on deterministic agents that gives us complete control over AI, check it: https://xaiht.org
angelahack1
·先月·議論
I think this gives me a huge idea: what if we could treat tokens as money — or as something like proof-of-work? In the end, a token is essentially a unit of processing value.
angelahack1
·先月·議論
Hola X(
angelahack1
·2 か月前·議論
[flagged]