denn-gubsky

5 ms·

1. 1.▲
   by denn-gubsky 26d ago

   I prefer self-hosted and hardware password managers. This does not completely mitigate the risk, but makes the attack surface smaller. Another question is your local network perimeter protection. I don't feel safe even with reverse pro
2. 2.▲
   by denn-gubsky 26d ago

   I've built a robust self-hosted OSS agentic runtime. Look for loomcycle on github.
3. 3.▲
   by denn-gubsky 26d ago

   I think that LLM Agents will communicate with each other using internal embeddings - the natural language LLM thinking on. The final output may be a platform-specific assembly or binary output. When specifically asked, the LLM Agent may pr
4. 4.▲
   by denn-gubsky 2mo ago

   I created a couple of agentic workflows to scan tech news, filter and create short digests. 5 top news is enough per day. 5 minutes reading. The rest of the time I can concentrate on things which matter for me the most. The next step is to
5. 5.▲
   by denn-gubsky 2mo ago

   I had not access to my pull requests and CI for few hours. Nice unicorn was presented instead :)
6. 6.▲
   by denn-gubsky 2mo ago

   I used Arduino sets to teach kids electronics and minimal programming. We created various simple devices with sensors and motors using resistors, capacitors and transistors to construct interfaces between digital inputs/outputs and ana
7. 7.▲
   by denn-gubsky 2mo ago

   Ryzen 7 8700G is an APU, and it has built-in Radeon 780M GPU (12 CUs, ~12.6 TFLOPS, plus an NPU). This is not very strong, but this is floor which runs local models for me and saves a lot of paid tokens. Potentially this setup may be upgrad
8. 8.▲
   by denn-gubsky 2mo ago

   I'm running qwen3.6, gpt-oss and embeddinggemma with Ollama on Ryzen 7 8700G + 96 GB DDR5 with 12-14 tokens/sec. Consider this as a floor. On Strix Halo it will run 4-6 times faster depending on memory bandwidth. For my local task
9. 9.▲
   by denn-gubsky 3mo ago

   I'm building the agentic runtime and agents running on this platform. The keystone of agentic work is "allowlists vs denylists" choice. On my platform I use allowlists for everything (tools, MCPs, skills, memories etc.). Agen
10. 10.▲
    by denn-gubsky 3mo ago

    I develop 5-10 times more complex projects now without anticipation to never complete them. And I can do it alone with team of agents running 24/7. Maybe these new projects will not be used by anyone, but I feel more confident in previ
11. 11.▲
    by denn-gubsky 3mo ago

    Thanks for the useful article. I'm building a hierarchy chunked graph document memory as the project knowledge base in my agentic runtime. After reading your articles I will pay more attention into semantic search and retrieval methods
12. 12.▲
    by denn-gubsky 3mo ago

    Recently I upgraded my TrueNAS box with Ryzen 7 8900 APU + 96GB DDR5. This config runs Ollama + loomcycle (my agentic Go runtime) + loomboard (the agentic UI), all self-hosted. I tired several models and Ollama configurations. For me is imp
13. 13.▲
    by denn-gubsky 3mo ago

    I'm doing a lot of QA in my startups. There are several layers: 1. One model (Opus) writes a code, another model (Sonnet, Qwen, Kimi) writes unit tests using requirements and code; 2. Full code review by me. Just to understand what is
14. 14.▲
    by denn-gubsky 3mo ago

    In my experience, AI solves the implementation part well - if you know explicitly what should be implemented. If your engineering understanding is fuzzy, the implementation will be fuzzy too. Engineering and architectural skills matter more
15. 15.▲
    Local LLMs on a Ryzen 8700G iGPU: 13-15 tok/s on gemma4, 9-12 on qwen3.6(loomcycle.dev)

    4 points by denn-gubsky 3mo ago|0 comments
16. 16.▲
    by denn-gubsky 3mo ago

    Thanks for the article. It's super interesting for me, but I have not found a solution for agents running in runtimes without browser. For example on VPS. I'm using WebFetch/WebSearch now, but in some cases I need authorizati
17. 17.▲
    by denn-gubsky 3mo ago

    Is it better than A2A?
18. 18.▲
    by denn-gubsky 4mo ago

    I integrated the gbash and benchmarked it. gbash is not production grade yet. There are issues with tools implementation and compatibility (I added findings as issues) and performance issues (avg ~30% slower than system C utilities, grep is
19. 19.▲
    by denn-gubsky 4mo ago

    Thank you for good advise. The agentic runtime I'm developing uses system Bash and has to spawn system processes. The pure Go is better match. Checking the repo.
20. 20.▲
    by denn-gubsky 4mo ago

    Interesting library. I think I could use for agents running in virtual volumes. I maintain an agentic runtime written on Go. What is the best way to incorporate bashkit.sh?
21. 21.▲
    by denn-gubsky 4mo ago

    I'm curious what to do if agent self-improvement goes a wrong way. How do you evaluate the agent quality? Which way do you return to the last good branch? How to automate this process?
22. 22.▲
    by denn-gubsky 4mo ago

    Nice and very fast indexing tool. Installed by Claude code, and indexed by 3.5K nodes codebase in less than 2 seconds. Outstanding. The graph looks good, but navigating with the trackpad is not easy. Would be more convenient if zooming cent
23. 23.▲
    Show HN: Loomcycle – a sidecar runtime for AI agents (Go binary, Apache-2.0)(github.com)

    2 points by denn-gubsky 4mo ago|0 comments
24. 24.▲
    by denn-gubsky 4mo ago

    Thanks a lot. He is 12. I got books and will try to propose for him. But your comic-like website works better :)
25. 25.▲
    by denn-gubsky 4mo ago

    Contacted you on LinkedIn.
26. 26.▲
    by denn-gubsky 4mo ago

    This is what was for looking for. I need a visual surface to plan agentic feature development workflow. Don't you mind if I make Paca integration with the AI agentic Go runtime I'm developing? your OpenHands concept with container
27. 27.▲
    by denn-gubsky 4mo ago

    Thank you for sharing this. I'm going to implement this judgement loop in my AI agenting runtime. Worth to try on local LLM with cloud high-end judge model in a loop + QA model to build and run tests as the second judge. I think both j
28. 28.▲
    by denn-gubsky 4mo ago

    I had similar feeling a couple months ago, but I changed the approach and feel more confident now. First of all, any feature now starts from RFC, then RFC brakes into manageable parts, I can review and understand, by planning. When feature
29. 29.▲
    by denn-gubsky 4mo ago

    Interesting project. I started from the similar layer and bumped into system load barrier. Did you notice the system load when running 5-10-100 agents in parallel? Does you hardware survive 100 Claude.exe (it's claude.exe on macos too!
30. 30.▲
    by denn-gubsky 4mo ago

    Thanks for your work preparing these materials. Sending the link to my son. Philosophy is not included in his curriculum at all.