I have been at both side of the market. And it sucks so bad at both ends. Companies which deeply care about next hire are struggling to hire and actual great people looking out are outcompeted by AI slop and AI bulk applying.
Yeah maybe that but atleast let us know about this Or have dynamic limits? Nerfing breaks trust.
Though I am not sure if they actually nerf it intentionally. Haven't heard from any credible source. I did experience in my workflow though.
I don't use AI studio for my work. I used Antigravity/Gemini CLI and 3 pro was great for few weeks and now it's worse than 3 flash or any smaller model from competitor which are rated lower on benchmarks
Tried Antigravity for 2 queries and my model quota limit breached. Model definitely felt better than GPT 5.1 (my current daily driver). I am continuing to use Gemini 3 Pro on Cursor to evaluate further.
It’s a full fledged tool like DataDog which is opensource and can be selfhosted. You can replace honeycomb with it.
What features do you think it’s missing compared to honeycomb?
We're an open-source observability platform (YC-backed, 23K+ GitHub stars) looking for our DevOps Engineer focused on customer engineering.
You'll debug complex OpenTelemetry instrumentation issues with platform teams, optimize ClickHouse queries at petabyte scale, troubleshoot K8s deployments, and build customer engineering infrastructure from scratch. This is technical consulting + DevOps, not traditional support.
Our users are other engineers implementing observability at scale. You'll be helping them solve the same distributed systems problems you've probably faced.
Stack: OpenTelemetry, ClickHouse, Kubernetes, Docker, Golang
Looking for: 2+ years DevOps/Platform/SRE experience, strong K8s and observability background, can debug Go/Python/JavaScript, leadership potential
Yeah, reading the headline got me excited too.
I thought they are going to propose some novel solution or use the recent research by OpenAI on reward function optimization.