Viewing profile — behat

Appreciate the detail in this and the previous post on creating internal benchmarks! Have you all attempted finetuning smaller OSS models on your repos for coding?

well, at least they are not leaving to be MTS at Anthropic.

Hey HN, I think session transcripts written by coding agents like Claude Code and Codex are very interesting because they offer a detailed window into how work gets shipped. You ca…

Thanks for writing this, and look forward to the one on procedural memory. Seems like teams are encoding procedural knowledge in skills repositories, and I wonder if there’s additi…

>> Superlog scans your codebase and infrastructure to add new alerts, metrics and dashboards, preventing tricky failure modes and observability decay. This is interesting, and my p…

This is a very interesting read on failure modes of AI agents in prod. Curious about this section on the system prompt change: >> After multiple weeks of internal testing and no re…

>> how the runbooks can self heal if results from some steps in the middle are not expected. Yeah this is a very interesting angle. Our primary mechanism here is via agent created …

Do you mean how we connect to internal data? Today, you can connect any API endpoint to Relvy, so if you have internal business data / dashboards that you look at while debugging, …

Nice to see you here, Will! I’d generally recommend using open telemetry for instrumentation so that you keep the option of switching between telemetry vendors. Re: runbooks, yeah …

> They want extension to their agent. If a project tells me I have to use their interface or agentic setup, it's 95% not going to happen Yes, there’s definitely friction there. It …

Yes! That boundary between what can be automated and what still needs human judgement has shifted so much this last year. Things like 'go check this dashboard' can now be automated…

heh, I was just about to post the following on your previous comment re: reproducible benchmark results. Thanks for posting the blog. With the docker images that we offer, in theor…

For the debugging workflow you described, we would be a standalone replacement for cursor or other agents. We don't yet write code so can't replace your cursor agents entirely. Re:…

Thank you :)

Thanks. Yeah, Cursor / Claude code + MCP is powerful. We differentiate on two fronts, mainly: 1) Greater accuracy with our specialized tools: Most MCP tools allow agents to query d…

Hey HN! We are Bharath, and Simranjit from Relvy AI ( https://www.relvy.ai ). Relvy automates on-call runbooks for software engineering teams. It is an AI agent equipped with tools…

An on-call runbook execution engine - being able to take plain text runbook steps like - look at logs for $service, check for dependency failures - look at so-and-so dashboard. and…

Heh. Built a macOS app that does something like this a while ago - https://github.com/bharathpbhat/EssentialApp Back then, I used on device OCR and then sent the text to gpt. I’ve …

Nice! Built something similar earlier to get fixes from chatgpt for error messages on screen. No voice input because I don't like speaking. My approach then was Apple Computer Visi…

Thank you for sharing! The HF docs seem easy to follow. My application is text generation itself, so may have different results.