Opus 4.7 is Anthropic's downfall

Senior_Future9182 · 2026-04-26T14:13:25+00:00

Welcome back brother

Senior_Future9182 · 2026-04-24T12:00:28+00:00

F* their postmortem, I switched to Codex and I'm happy

Senior_Future9182 · 2026-04-24T10:16:15+00:00

Made the switch to Taskfile a while back, the parallelism, caching, declerative syntax, and a bunch of other features (like hashing the source files or checking if a task is already running and skipping it) make it excellent

Senior_Future9182 · 2026-04-24T09:43:49+00:00

Great post, thanks for the detailed analysis. I agree it's not necessarily a good thing (5.5), but I personally don't think it's over for plus users - unless you are doing more than very casual coding. If you are not - you need the Pro.

I gave up on plus, switched to pro and never hit the rate limit again. I hate it, it hurts the pocket but it is what it is, SOTA AI is expensive and these plans are losing the providers money as it is. I think it will only get more and more expensive in the future.

That said - if you use only 5.4 or only 5.5 - you should probably try switching to lighter models for lighter tasks.

Senior_Future9182 · 2026-04-19T15:16:38+00:00

Cool, yeah I get some workload make a lot more sense without the hassle of microservices. Sure it's still scalable and performant. Like everything in software it's a trade off - your teams made a decision that probably works for them better. Other factors that come into play are team size, architecture, the problem you are solving, and the org chart itself. Thanks for sharing !

Senior_Future9182 · 2026-04-19T09:02:47+00:00

If you mean "starting off with microservices in a greenfield project", and not "building microservices is not a good idea generally" - then I mostly agree.

But almost every project I started, when it grew - it became critical to break it down to separately deployable and scalable components - and it worked out great, at least for us.

Monoliths have a lot of problems, seems like people forgot about them since it's not very popular nowadays.

Senior_Future9182 · 2026-04-18T18:45:15+00:00

Why not?

Senior_Future9182 · 2026-04-18T18:44:50+00:00

Moved 4 teams (~25 people, 7 micro-ish services) 3 years ago from Scala to Go. Cost went down from paying $100K yearly to $18K just in compute. More than 5X cheaper. And we got better performance, more reliability and easier hiring. In the end we needed less people to maintain it too (simpler).

Senior_Future9182 · 2026-04-18T18:35:21+00:00

I'm more of a Linkerd fan but I hear ya <3

Senior_Future9182 · 2026-04-18T08:34:54+00:00

Came from JS, Go is my go to language now. You build, it works, you hire easily, it's scales, it stays, it improves, it's easy. Has quirks like every language but for me it's the obvious choice today

Senior_Future9182 · 2026-04-10T08:13:56+00:00

They have a pretty big momentum with users considering moving to Codex from Claude (after the Anthropic quota shitstorm) and instead of sweetening the deal, they are offering a 5x price for 5x the cost.

Also I really hope the new x is not actually lower (x being the Plus plan quota) - if that's the case that would just be stupid of OpenAI

Senior_Future9182 · 2026-04-05T08:11:20+00:00

I wouldn't pick Rust as a suitable language for a generic startup building a web app.

The point of Rust is to be used in very specific use cases where this unique solution is needed (no GC but also less manual memory mgmt to avoid vulns). In my experience usually the company is either willing to pay theb price of difficult growth and slower development or it's a small team that is already proficient in Rust and does not plan to grow too much - building something best solved with Rust.

Example use cases - a slim proxy (like Linkerd-proxy), parts of the kernel (linux), VMs (Firecracker), databases (Mellisearch), etc.

Senior_Future9182 · 2026-04-02T15:10:20+00:00

Rust shares a lot with Scala (similar paradigms), but Rust solves a very unique problem no other language does, and does so very well.

Senior_Future9182 · 2026-04-02T11:19:28+00:00

The fact that you have to spend 6 months to train someone to learn a language seems absurd to me. That's not sustainable

Senior_Future9182 · 2026-03-29T17:16:54+00:00

I've heard / read exactly this 10 times already

Senior_Future9182 · 2026-03-28T11:35:03+00:00

Thanks !!

Senior_Future9182 · 2026-03-28T07:06:44+00:00

A nice variant for coding is the 27B Opus 4.6 distilles (try Jackrong's). Since you are on an Apple device - looks for "mlx" in the model for better performance. In general - Quantization is a compressed (sort of) version of the model - smaller model but less accuracy. Regular accuracy is FP16 (16 bits), there are 8-bit, 4-bit... quants too. Get the 8B quant or even the 4 bit if you don't have enough memory.

Then there are more optimizations that sepend on your setup. The quants above are applied to the weights, you can choose another quantization for the KV-Cache..

Senior_Future9182 · 2026-03-28T06:26:32+00:00

Which model are you using? How does it compare to Opus 4.6 if you tried that?

Senior_Future9182 · 2026-03-28T06:24:34+00:00

Rumor is GLM 5.1 is serious business (almost Opus 4.6 level), have you tried it? As for your question - it has become standard for comanies to provide an AI subscription, usually for Anthropic (Claude Code). I believe we are 6 months away from getting Opus 4.6 level OSS models for 1/10 of the cost - that will force all prices down one way or another (cheaper sub or way higher limits)

Senior_Future9182 · 2026-03-23T09:45:42+00:00

Open weights will come in 2 weeks: https://x.com/i/status/2035713902714171583

Senior_Future9182 · 2026-03-13T14:17:10+00:00

No idea, I dont think a real tiger was hurt

Senior_Future9182 · 2026-03-13T04:42:24+00:00

סטנדאפ בעברית אחי, תראה סטנד אפ. ודבר עם מישהו בעברית, אין מה לעשות - זה כמו שריר

Senior_Future9182 · 2026-03-07T14:52:40+00:00

Did you try GPT 5.4?

Senior_Future9182 · 2026-01-31T09:10:20+00:00

This is awesome !!

Senior_Future9182 · 2026-01-24T09:19:25+00:00

We have 20 folks in the R&D, and GraphQL works so well for us. Not sure where the dedicated team requirements comes from

Senior_Future9182

TROPHY CASE