sermakarevich
Joined 6 months ago
Karma
33
Submissions
72
Member since
Apr 14
AI engineer
https://www.linkedin.com/in/sergii-makarevych-78b62339/
https://x.com/sermakarevich
https://github.com/sermakarevich/
View on Hacker NewsRecent submissions
Comment · 4 months ago
Imo its a qualification issue. Companies, that do not have required qualification onboard are forced to enter new domain they do not understand.
If expertise is there, proper rules of using / benefiting from AI will be created rather sooner than later.
Comment · 4 months ago
I am running an experiment with local qwen3.6:36B for a week: https://news.ycombinator.com/item?id=48520757
It really is better than I would expect it to be. But it requires a special treatment. Since the model is smaller it needs a smaller and simpler tasks. I use smarter model to decompose the task into primitive subtasks, write good description, submit to worker with qwen3.6, review completion and create new task to fix if required (20% of cases). This workflow works fine.
Comment · 4 months ago
yes.
- smarter models to create tasks
- local qwen3.6:36B for tasks execution
here is how in details https://news.ycombinator.com/item?id=48520757
Comment · 4 months ago
I think they do scale:
-- check this bug report from AMD where they say they run fleet of 50 agents 24x7 https://github.com/anthropics/claude-code/issues/42796
-- here I am running 3 coding agents 24x5 (not yet 7 so far) https://news.ycombinator.com/item?id=48520757
I was using multi-coding agents for poc projects first, now for production research and poc second and soon plan to get to production.
Comment · 4 months ago
Trying to understand how to run many coding agents 24x7 https://news.ycombinator.com/item?id=48520757
Comment · 4 months ago
AI or AI adoption?
AI in general is not slowing down. New smarter / bigger models popping up, get blocked, new open source models exceed commercial https://x.com/prz_chojecki/status/2065741640635990128?s=20. All is good here.
AI adoption is nowhere near the current capabilities of AI. I think its because of the lack of expertise at companies. Everyone has an opinion but in fact nobody knows how to work with AI. There is neither AI dedicated positions at companies nor AI transformation leaders on the market.
What companies can do in this case? Install Claude Code and wait how things change over time.
Comment · 4 months ago
Not only SE career. Many careers which rely on static knowledge accumulated over years.
We have a senior guy who is like a walking cybersecurity library - knowing all the protocols, standards, vendors, threats. He is quite desperate atm. There is nothing he can add to what LLM already knows or can research in 30 seconds. He was building his profile for 30+ years.
I am on the side that AI will change everything. The reason why it has not yet is the lack of skills on the market - no AI transformation leaders. My strategy is to be closer to AI - number of nano startups with few people on board building smth AI related is exploding and they need expertise with AI engineering.
Comment · 4 months ago
do you have something I can take a look at - post or git maybe ?
Comment · 4 months ago
Love the approach. I am a big fun of hierarchical knowledge organization. I think that almost all current Claude abstractions to knowledge management are broken. It becomes visible when you start running many coders concurrently or need to create 1K+ skills fe: https://news.ycombinator.com/item?id=48407998
Comment · 4 months ago
I started using brain -> workers approach for coding.
-- Brain is expensive smart model from claude subscription, Fable 5 when it was available, Opus now.
-- Worker is a local model (qwen3.6:46B), deployed in 36GB GPU, Opencode + Ollama.
Brain is responsible for analysis/design and task creation. Task should be made simple and clear so the worker can handle it. Worker does the coding. Brain validates and create a fix task when required. Atm fix to task ration is ~ 1:20.
If no available GPU at home - qwen3.6 is quite cheap on clouds.
Its rather experimental setup, out of curiosity, but it works better than I would expect it to. This allows me running 3 coding agents non stop for the 4-th day atm. Here I explain how I got there: https://news.ycombinator.com/item?id=48520757