sergeyk

6 ms·

1.
by sergeyk 3d ago
If anyone wants this kind of benchmark for their own codebase, happy to set you up with superconductor.com/benchmark 1. Import your own PRs 2. We find the original spec or infer the spec 3. Agents you select (eg claude code opus 5, cod
2.
Why coding agents belong in remote sandboxes(superconductor.com)
14 points by sergeyk 1mo ago|0 comments
3.
by sergeyk 1mo ago
Check out https://superconductor.com : supports docker and env setup is done for you by an agent when you connect repo
4.
by sergeyk 8mo ago
What's crazy is that this has been possible since before ChatGPT: https://x.com/sergeykarayev/status/1569377881440276481
5.
by sergeyk 9mo ago
Check out superconductor.dev (I’m building it), if you want live app previews, docker-in-docker functionality, multiple agents in one mobile app, and more.
6.
by sergeyk 9mo ago
Our foundational design value was compute instance startup speed. We've made some design decisions and evaluated several "neocloud" providers with this goal in mind. Currently, from launching an agent to that agent being able
7.
by sergeyk 9mo ago
> AFAICT, there’s no service that lets me: give a prompt, write the code, spin up all this infra, run Playwright, handle database migrations, and let me manually poke at the system. We approximate this with GitHub Actions, but that doesn
8.
by sergeyk 1y ago
This is exactly why we built superconductor.dev, which has live app preview for each agent. We support Claude Code as well as Gemini, Codex, Amp. If you want to check it out just mention HN in your signup form and I’ll prioritize you :)
9.
by sergeyk 2y ago
Congrats! Do you have numbers on WebArena ( https://webarena.dev ) or VisualWebArena ( https://jykoh.com/vwa )?
10.
Lecture Videos from LLM Bootcamp(fullstackdeeplearning.com)
2 points by sergeyk 3y ago|0 comments
11.
by sergeyk 4y ago
Live demo of this you can run: https://twitter.com/sergeykarayev/status/1569377881440276481
12.
The Art of Production: Rrose (Techno, Player Piano)(ra.co)
1 points by sergeyk 5y ago|0 comments
13.
Data Management for Full Stack Deep Learning(course.fullstackdeeplearning.com)
1 points by sergeyk 6y ago|0 comments
14.
by sergeyk 7y ago
> (I've yet to find a technological solution that doesn't make it way too easy to accumulate clutter.) Try NotePlan ( https://noteplan.co )
15.
Infrastructure Landscape for Full Stack Deep Learning [video](youtube.com)
1 points by sergeyk 7y ago|0 comments
16.
Videos from Full Stack Deep Learning Program [March 2019](fullstackdeeplearning.com)
16 points by sergeyk 7y ago|0 comments
17.
Troubleshooting Deep Neural Networks: A Field Guide to Fixing Your Model(josh-tobin.com)
18 points by sergeyk 8y ago|0 comments
18.
Troubleshooting Deep Neural Networks: a decision tree for debugging your model(twitter.com)
2 points by sergeyk 8y ago|1 comments
19.
by sergeyk 8y ago
If you find yourself in Madrid, you will not regret making time for the Prado. Whereas some museums, like the Hermitage, go for quantity, the Prado seems to pride itself on extreme curation. It did not feel like a huge museum (at least the
20.
Where have all the workers gone? – New Yorker(m.newyorker.com)
2 points by sergeyk 12y ago|0 comments
21.
by sergeyk 14y ago
"If I have nothing to hide, you've got no reason to look."
22.
by sergeyk 15y ago
This is a toy example of the kind of problem that the field of Computer Vision is actively working on: object detection. In a (tiny) nutshell, our best answer for general images and objects is: 1) Instead of using the full color pixel image
23.
by sergeyk 15y ago
Here's a recent great book with free pre-print pdf: http://szeliski.org/Book/ Along with the lecture slides from different professors linked to on that page, it should be a sufficient start.