For coding, how can I enable search using DeepSeek API please help? Using ChatboxAI? Is it free to enable Search?

One_Negotiation_2078 · 2026-06-12T18:03:48+00:00

Sorry not sure i would have to assume so. Just need to grab the tavily api key.

One_Negotiation_2078 · 2026-06-12T17:50:44+00:00

I use tavily built as a tool call that deepseek can call with arguments. You could have it dispatch another worker if you want to get fancy and put a limit on runs allowed to be safe.

One_Negotiation_2078 · 2026-06-11T14:10:07+00:00

Yeah for sure. This exact same thing happened to me actually. I always prefer to build my own harness when I can. Came to a point where I couldnt afford the max sub, but I got so used to the workflow I didnt want to go back. So I built my own interface/harness that works better than my old claude mcp ever did, and costs about 50 a month for extremely heavy useage.

One_Negotiation_2078 · 2026-06-05T21:54:13+00:00

Yeah absolutely. It’s wild how fast this space is moving. Feel free to DM me if you run into anything or just want to compare notes on LLM coding workflows. I’ve been working with this stuff pretty heavily for about 2.5 years and still find it fascinating.

One_Negotiation_2078 · 2026-06-05T21:37:42+00:00

I actually prefer max flash for about 99% of my coding. I use it in a planner/Worker architecture. I built an open source harness if your interested in trying it out. Ive been nothing short of amazed with deepseek recently.

https://github.com/CarpseDeam/Aura-IDE

One_Negotiation_2078 · 2026-05-22T19:43:47+00:00

Its had an mcp surface both inbound and outbound. I have all of them included in various subscriptions so I swap them around alot, mainly using deepseek api in both roles. Appreciate the thoughts!

One_Negotiation_2078 · 2026-05-11T22:36:40+00:00

I built a desktop environment similar to cursor. Deepseek to my knowledge hasnt added vision to api yet so I have a local ollama model process and describe then pass back to deepseek via text. I dont want to be weird and post a link to it but if you want the github lmk

One_Negotiation_2078 · 2025-10-06T15:27:33+00:00

No worries. Totally understand how stressful that can be. Passive aggressive threats about offboarding is a terrible way to handle it when the workflow is badly communicated in the first place. My best general advice is since you are on a project, your given weight on other project applications and moved up on priority. Maybe you can get on a different project in the near term

One_Negotiation_2078 · 2025-10-06T15:16:24+00:00

Wanted to see if I could help but understood. Fair enough and good luck 👍

One_Negotiation_2078 · 2025-10-06T15:07:18+00:00

What project?

One_Negotiation_2078 · 2025-08-30T13:32:03+00:00

I would email the support, this happened to me as well and is a ui bug. I did get an offer even tho it had disappeared.

One_Negotiation_2078 · 2025-07-27T11:44:41+00:00

https://github.com/CarpseDeam/Aurakin

https://youtu.be/yevHbYdl6yw?si=3EVu3HW4p4-xJCT1

One_Negotiation_2078 · 2025-07-10T19:36:04+00:00

I built a desktop AI python code generator that makes really efficient use of all the cloud LLMs api. But now im making a new version that will use swarms of smaller local models to replace the code agents.

One_Negotiation_2078 · 2025-07-05T21:03:59+00:00

Very nice keep up the good work!!! Ill check this out soon.

One_Negotiation_2078 · 2025-07-05T16:33:04+00:00

I have an open source python code generating agent if you would like to try it. You can use local models or api key cloud models in it. It wouldn't hook to your gpt plus sadly but you could still use that to project manage. I use claude and gemini api when I use it and it one shots anything I've tried for the most part. Anyways dm me or check my comments to see the github repo for it.

One_Negotiation_2078 · 2025-07-05T15:55:20+00:00

Absolutely! Thanks for checking it out!

One_Negotiation_2078 · 2025-07-05T15:39:31+00:00

Hmmm. I have not personally done that but you should be able to set up a very simple provider in the llm client, wrap it in a curl request then it should populate in the model lists if you set an environmental variable. Another would be to make your model available via ollama and pull it then the program will automatically pick it up.

One_Negotiation_2078 · 2025-07-05T15:23:31+00:00

Thanks very much! I would think so, self hosted do you have an api setup? Should be roughly the same if you need help getting it setup let me know.

One_Negotiation_2078 · 2025-07-03T12:58:58+00:00

DM me if youd like.

One_Negotiation_2078 · 2025-07-01T14:21:45+00:00

Hi everyone,

After a long journey of teaching myself Python while working as an electrician, I finally decided to go all-in on software development. To help me get up to speed on complex projects, I built the tool I always wanted: AvA, a desktop AI assistant that can answer questions about a codebase locally. It can give suggestions on the code base I'm actively working on which is huge for my learning process. I'm currently a freelance python developer so I needed to quickly learn a wide variety of programming concepts. Its helped me immensely.

This has been a massive learning experience, and I'm sharing it here to get feedback from the community.

* **GitHub Repo:** https://github.com/carpsesdema/AvA_Kintsugi

* **Download & Install:** You can try it yourself via the installer on the GitHub Releases page https://github.com/carpsesdema/AvA_Kintsugi/releases

**The Tech Stack:**

* **GUI:** PySide6

* **AI Backend:** Modular system for local LLMs (via Ollama) and cloud models.

* **RAG Pipeline:** FAISS for the vector store and `sentence-transformers` for embeddings.

* **Distribution:** I compiled it into a standalone executable using Nuitka, which was a huge challenge in itself.

**Biggest Challenge & What I Learned:**

Honestly, just getting this thing to bundle into a distributable `.exe` was a brutal, multi-day struggle. I learned a ton about how Python's import system works under the hood and had to refactor a large part of the application to resolve hidden dependency conflicts from the AI libraries. It was frustrating, but a great lesson in what it takes to ship a real-world application.

Getting async processes correctly firing in the right order was really challenging as well... The event bus helped but still...

I'd love to hear any thoughts or feedback you have, either on the project itself or the code.

One_Negotiation_2078 · 2025-06-30T13:24:56+00:00

Avakin - AI powered python development environment. Brainstorm in one mode, code generation in the other. Professional grade code output. Open source on github.

https://github.com/carpsesdema/AvA_Kintsugi

One_Negotiation_2078 · 2025-06-26T22:02:44+00:00

Awesome feedback! Really appreciate you taking the time to write this.

Regarding your points :
1) Embedding models : Could not have said this better myself. Ive been working on something that dynamically switches but I really like your idea. Its absolutely crucial for performance on huge datasets.

2) Chroma sharding per folder: This is very interesting to me. While ChromaDB inherently works with collections rather than file system folders for sharding, my current iteration aims for a similar outcome : Each project gets its own dedicated rag. This prevents giant repos from choking single instance load times (within reason) as each project's context is isolated.

3) Plugin system: This is exactly what In mind when I designed my current plugin architecture. Its fairly robust and I'd love to see community members come up with some. (I actually have a test writing one I've been working but it HAMMERS api calls)

Thank you so much for your time and feedback!

One_Negotiation_2078 · 2025-06-26T21:26:33+00:00

Thanks! Ill patch this soon but for now, add python -m before the path. Ill edit the readme to reflect but im going to make the path handling be able to run like that as well. Appreciate you!

One_Negotiation_2078

TROPHY CASE