Viewing profile — zlatkov

I actually don't think there could be meaningful offers for a blog of that scale.

Yes, it was actually what got us the initial waves of high volume/quality signups to our product, so it was indeed important for the company.

Good advice, and you're right that people deserve it. I never did it because I never formally decided to stop. I just assumed there'd be some form of continuity...

In 2017, I started a series on Medium called "How JavaScript works". The idea was to explain to web devs what actually happens under the hood in the browser. Some stats from the mo…

Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequ…

Question for anyone using OpenClaw (or similar) agents daily. I've been writing new skills for my OpenClaw setup and keep running into the same thing: strong models (like Opus 4.6)…

https://openai.com/index/scaling-ai-for-everyone/ https://x.com/sama/status/2027386252555919386 https://xcancel.com/sama/status/2027386252555919386

Every agent run (and especially when running tests in CI/CD) adds token cost, nondeterminism, and slows iteration. I’m not talking about LLM evals here. I mean integration-style te…

Hi HN - I’m Alex, currently Head of Agent Development Tools at Progress. Before this, I was a Co-founder/CEO of a session replay startup called SessionStack, which was acquired in …

That's true. Even small API or model version updates can shift evaluation behavior. G-Eval helps reduce that variance, but it doesn’t eliminate it completely. I think long-term sta…

I haven’t come across any research showing that a specific LLM consistently outperforms others for this. It generally works best with strong reasoning models that produce consisten…