alasano

Hey just let them merge a few hundred thousand more PRs of slop and maybe it will work?

Opus 5.5 and Astra will just tell you about that part immediately while also making it clear that it ignored those instructions.

Running 2 is enough to slow it down to a crawl unless I'm not doing anything else and just letting agents work.

I've definitely tried optimizing with lower memory as you suggest but the margin is so small given normal usage of the computer at the same time that it really doesn't make a difference unfortunately.

So that's 2 emulators + a few terminals of pi/Claude, Firefox open, vscode and usually docker but nothing too heavy there.

What's are the odds that the M7 Max goes above 128GB? (Presuming the rumors about Apple skipping the M6 Pro/Max are true)

What are you doing with yours? I recently started using Android/iOS emulators locally and combined with anything else my M1 Pro 32 GB feels unusable.

Definitely grabbing 128 GB + for the next machine.

These M7 rumors and that they're skipping the M6 Pro/Max rumors are really making me try to stretch my M1 Pro until next year.

I'm gonna max out most of the specs on the next one I get, would feel insanely wasteful to do that now.

I'd like to subscribe to your Denmark vs Switzerland fun facts, cause I just had fun.

Right! I forgot Sweden is basically people who speak better English than native speakers, apologizing for their subpar English.

I'm curious as to what prevented you from learning it to a level that doesn't embarass you?

Time goes by quickly and suddenly it's been 10 years is a perfectly fine answer.

This is really nice. I'm able to read Hiragana and Katakana fully after about 4-6 weeks now but then I'm hit with the reality of how many Kanji I have to learn still everytime I want to read something in real life lol

I simply don't want to review AI code in depth.

I used to do it but now I only review code organization and structure.

Mostly I define the product behavior I want and discuss the technical implementation beforehand.

Once that's in a spec I let it build in my durable implementation engine. Automated verification, review rounds from different agent types across different models, issues triaged into meaningful clusters and flagged for false positives before finally being fixed.

That loops until the code is up to spec.

There is no special secret, LLMs need repetition and multiple passes.

They'll one shot bigger and bigger things in their default harnesses but they'll be filled with issues no matter what.

Same, used them exclusively last time I was in SF and it was absolutely perfect.

"be able" implying capability rather than time constraints and opportunity cost which is what most people on here refer to when they mention something cool they're doing with LLMs that they weren't doing before.

Right! I just remembered why I was still on my Nvidia Shield Pro, Apple TV 4K doesn't have the lossless pass through.

That's crazy

What's crazy is that it's still close to the best device you can get.

I'd upgrade my Shield Pro to something else but there's nothing to upgrade to that doesn't have some compromise on formats or capabilities.

I presume MITMdling Apple is not even close to as easy (or profitable) as Ledger.

Funny I just asked that too but in my quick check boat was slightly more expensive albeit with more storage space.

I've been looking at offloading local work from my MacBook Pro (M1 Pro / 32 GB) specifically because I've been working with a lot of Android apps and emulation is killing me on top of everything else that I'm running.

Got a bunch of Daytona credits which are close to useless given their restrictions until you hit tier 3.

You seem like you're actually slightly cheaper than https://boat.dev/ but with less storage? That's the closest to your pricing unless I'm mistaken. Any other insight as to differences between you two?

Also I'll add you to a list I've been maintaining of sandbox providers, congrats on the launch!

https://engine.build/lab/agent-sandboxes

I honestly don't remember what annoyed me at first.

But auto renewals not working at times for some reason, credit cards not being saved, prices rising vs competitors.

Just switched everything to CloudFlare since I'm always pointing to it anyways and use a lot of their services.

That's funny, Bitwarden and Namecheap are the two things I've migrated away from as well.

The switch to Vaultwarden was insanely easy.

I find the whole category of "added value" STT apps funny at this point.

Built my own in a day that blows them out of the water. You can quite literally pick any sufficiently good local model or API provider and combine it with Cerebras for cheap and very fast AI post processing and formatting.

With OpenAI you can just use Oauth and get a token to use your subscription.

Anthropic isn't even close to being this useful.

Why not keep building yours? It will quite literally be the same or better than 99% of these tools.

I also don't care much about individual conversations with agents as the main way of managing work, my personal dashboard shows projects (and subdivided by work trees underneath) but I have an orchestrator agent who is the one I talk to 90% of the time and who is responsible for summarizing information from various project manager agents and only update tiles in the dashboard when I actually need to do something, in the form of questions I can answer directly.

Over time as I add more preferences for how to work, the orchestrator sends fewer and fewer requests to me that it can handle itself.

Did you build this out of pure interest in what's available or to be able to chime on threads like these on Reddit and HN when someone builds the same thing once again?

Appreciate the enthusiasm :)

I was coding already before LLMs but nowadays any little idea for something useful can be done on 15 minutes.

From your profile, you're a retired neurosurgical anesthesiologist so I'm not sure how much you tinker with code but if you've got a ChatGPT subscription you can just ask ChatGPT to build you useful little utilities and websites like this now.

It will publish it for you either privately or publicly under your own subdomain e.g. something.bookofjoe.chatgpt.site

Could be fun for you to try for anything you can think of.

Glad you like it Joe

here's a page that allows you to browse and search all the books mentioned in this thread.

https://what-are-you-reading-september-2026.aljosa-asanovic....

Agreed. In my testing yesterday GPT 6 Sol still beat Opus 5.5 on code review (of GPT written code in this case)

6.1 will probably perform even better.

Opus 5.5 is better in that regard than Fable 5.1 except for some bugs with more complexity which it was uniquely suited to.

Just keep cutting existing plans and introducing more expensive ones that give you the same thing the cheaper ones did.

Makes perfect sense.

(If you're an idiot)

What do you mean? It's the fact that previously the 20x plan cost $200 (and is 10x now) and now 25x is $500.

If it was a 50x $500 plan it would be a different story.