Most observability tools charge by what they index, so teams quietly sample logs, cap retention at a week, and drop fields like user_id. Then the one trace you need at 3am is already gone.
@Coralogix takes a different route. Nothing gets indexed. All telemetry lands in your own cloud storage, in open formats, kept as long as you want. One query language reads logs, metrics, traces and security data together.
And you can just ask it what broke: in chat, from Slack or your IDE via MCP, or from a CI script via the CLI.
What's the field your team stopped logging because it got too expensive?
What the hell is going on with Claude?
I'm paying $100/month for the Max plan and using Opus 5.5, yet my 5-hour usage limits are getting wiped in just 10 minutes of completely normal Claude Code sessions.
Weekly limits are draining like crazy too.
How are we supposed to get any actual work done when usage limits are this ridiculous, even on a $100 plan?
Anyone else experiencing this sudden drop in usage?
@dng_notes I already checked. Nothing is stuck in a loop, and there's nothing wrong with my setup. This is 100% on Anthropic's side.
A $100/month plan shouldn't burn through a 5-hour quota in 10 minutes of normal usage. they need to fix this issue
Opus 5.5 is insanely good at creating motion graphics videos, but the sound effects are still its weak point.
That’s why I use Wav for all the SFX and voiceovers in my Claude videos. It makes such a huge difference to the final result.
Truly a game changer @musicgpt_com !
Opus 5.5 + Blender + Unreal Engine + Meshy, connected via MCP and controlled by Claude.
Less than 10 iterations to build this entire game environment, with all assets generated from scratch.
AI game development is getting crazy. I'm genuinely impressed with how far this workflow has come. 🔥
Opus 5.5 built a 3D open-world horror game with some genuinely creepy vibes using image generation and Meshy AI 👇
AI making game development this accessible is exciting. Can't wait to see what we'll be able to build in the next few years.
@MeshyAI
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more: https://t.co/ofhv0DK3Zp
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
Kimi K3.1 Pro vs DeepSeek V4.1 Flash, head-to-head on a running V8 engine built in Three.js, both on max effort.
Both built working 3D simulations with RPM controls, combustion, cutaway views and part inspection.
But the numbers are wild:
DeepSeek: 67.2M tokens, $0.86
Kimi: 3.5M tokens, $2.16
Kimi used 19x fewer tokens and finished in 31 mins. DeepSeek ran for 48 mins before I stopped it while it was still refining.
Kimi has the more polished UI, while DeepSeek has the more detailed dyno cell.
And somehow, DeepSeek was cheaper despite using way more tokens, thanks to 66.7M cached input tokens.
Kimi K3.1 Pro might be the new Opus 👀
We tested it against Claude Opus 5.5 on Jensen's Microducks from GTC Berlin, and honestly, this is the closest I've seen a model get to Opus in quality.
Opus still catches more details, but Kimi gets surprisingly close while costing 3.5x less.
⚡ Kimi: $1.57 | ~13 min wall time
🔥 Opus: $5.58 | ~29 min wall time
Both ran at high effort, with Kimi using 26 tries vs Opus's 19.
The quality gap is getting seriously small.
DeepSeek V4.1 Flash 1017 vs Claude Haiku 5.5, head-to-head on the exact same 3D bedroom prompt.
I really like Haiku’s cozy, comfortable design and the overall vibe it went for, but DeepSeek held its own with a more detailed result.
Btw, I made this using BharatCode’s unlimited DeepSeek subscription 👇
DeepSeek V4 is insane, tested it on the Same prompt across 4 models: build an isometric flood-control game set in a Filipino neighborhood. Zero-shot, max reasoning, one run each.
V4.1 Flash 1017 genuinely surprised us. Rich colors, clean visuals, smooth camera, and an excellent tutorial.
It feels like a more polished GPT-6 Astra output.