makeavish

True, I have found it to be valid as well

True :(

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.

It is actually a very hard to solve problem.

Hiring and job search has been so hard and AI has amplified the existing problems instead of solving any.

Claude launched Managed Agents which fulfills our usecase! https://platform.claude.com/docs/en/managed-agents/overview

Interesting, let me check it out

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

Looks great!

Great model until it gets nerfed. I wish they had a higher paid tier to use non nerfed model.

I hope to have great next two weeks before it gets nerfed.

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.

NPM also seems to be down due to this! https://status.npmjs.org

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?

Discovered this while I was researching about why some LLM models perform significantly worse at times. I have experienced this more with Claude.

“We’re relying a lot on Alibaba’s Qwen model. It’s very good. It’s also fast and cheap,” he said.

It’s possible with this extension: https://chromewebstore.google.com/detail/unhook-remove-youtu...

I use it on firefox

Good explanation on why breakthrough AI didn’t lead to immediate general productivity gains.

SigNoz | DevOps Engineer - Support | Remote (India) | Full-time

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

Apply: https://jobs.ashbyhq.com/SigNoz/c479d148-691d-4dc2-9201-bbeb...

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.

Yes Jaeger supports SpanLinks

Only SAML, Multiple ingestion keys and Premium Support is under paywall. SSO is not under paywall. Check pricing page for detailed comparison: https://signoz.io/pricing/

Agree with you on this. OTel agents allows exporting all host/k8s metrics correlated with your logs and traces. Though exporting AWS service specific metrics with OTel is not easy. To solve this SigNoz has 1-Click AWS Integrations: https://signoz.io/blog/native-aws-integrations-with-autodisc...

Also SigNoz has native correlation between different signals out of the box.

PS: I am SigNoz Maintainer

You can use SpanLinks to analyse your async processes. This guide might be helpful introduction: https://dev.to/clericcoder/mastering-trace-analysis-with-spa...

Also SigNoz supports rendering practically unlimited number of spans in trace detail UI and allows filtering them as well which has been really useful in analyzing batch processes: https://signoz.io/blog/traces-without-limits/

You can further run aggregation on spans to monitor failures and latency.

PS: I am SigNoz maintainer

I too had similar experience. I booked a 4.9 rated property with 30 reviews. But experience was really poor and I rated 1 stars post checkout. The propery owner reachout to me asking for explanation but I wasn’t in any mood to discuss.

Hours later they filed fake complaint to Airbnb that I rated poorly as I wanted late checkout and asked money to remove review. Airbnb removed my review post that. I had a flight to catch so I couldn’t checkout late anyway. I shared even flight details with Airbnb but they didn’t reinstate review and added a strike to my account. I expect host did this previously as well to improve their rating.

Maybe Loki, but it has some limitations related to high cardinality data and indices (https://signoz.io/blog/logs-performance-benchmark/?utm_sourc...)

I suggest giving SigNoz a try. Built on top of Clickhouse, it’s fast and scalable

https://github.com/SigNoz/signoz

PS: I am maintainer at SigNoz

Using user's private with no opt-out option is unethical.

If anyone is looking self-hosted for alternatives then they should try SigNoz: https://github.com/SigNoz/signoz

I really appreciated the utilization of SigNoz in this process. The blend of Git's Trace2 with OpenTelemetry, further analyzed with SigNoz helps in the understanding of Git performance at scale. This blog also provides a practical approach towards identifying and resolving performance bottlenecks in large codebases.

Companies like https://signoz.io/ are Opentelemetry native and have very transparent approach to predictable pricing. You can self host easily as well.