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extr

5,811 karma · joined May 26, 2016

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extr··on Can we replace a $150k Looker with a bucket of HTML files?
Honestly do not care that the words are vaguely AI tinted. The semantic content is not AI, it's not slop.

Put it this way: would you rather this article didn't exist, or had less detail? Because that's the alternative in many cases.

extr··on Postgres 19 delayed after AI reviewers find more bugs than humans can fix
I like the way you put this. I agree this is where the frontier of software development is right now. You can have LLM chug and bug fix all day long but in the end most real issues are in this layer of intent. I don't think this problem is particular to DB/programming language codebase either - it happens a lot in product design it just doesn't surface in code review. "Everything is working perfectly" yet the resulting workflow or UI is not truly making the user's life easier, or has grown grotesque with additions/modifications.

I will say, if the problem is purely code you occasionally see "sparks of AGI" where the model will step back and say "hold on, there is a massive simplification we can make here...". This started happening with Fable-class models. But rarely if ever will the model push for a huge simplification at the product level.

extr··on Iosevka is an open-source, sans-serif and slab-serif monospace font
Truly the GOAT font. Nothing else compares.
extr··on AI is a tool and using it well takes skill
I think the knowledge is one level higher at this point. It’s not LazyLoading that you need to know about, it’s just that it can and should be faster. That you can demand more (and sometimes you can’t). It’s hard to know the difference when you’re not in your area of expertise.

Fair point on the contradiction. I don’t have the answers either.

extr··on AI Is a Tool. Using It Well Takes Skill.
Well, that’s true to an extent, but sometimes you need to ”play” a bit before you (or the model) can “work”, if that makes sense. And it’s hard to know the right kind of “play” without experience in the area, this is something the models can’t yet do.
extr··on AI is a tool and using it well takes skill
I go back and forth on this. For awhile yes it took a lot of workflow tweaks and finesse to get directionally correct outputs (thinking back like mid 2025). I invested time in figuring that out, mostly because I was interested, but those skills are all obsolete now, you don't need to worry so much about context management and special instruction recipes or anything these days.

The meta at this point seems to be mostly around "knowing what to ask for". Eg: I suck at prompting for specific design tweaks, because I don't have the design vocabulary to be specific and articulate what I want. It's a lot of trial and error. I hear people who are developing full scale applications without a tech background run into the issue writ large. For now, I have an advantage over these people when building applications. But perhaps that's just one round of RL away from being obsolete too. Supposedly the model will eventually have such good taste in design/architecture/whatever there will be little point in asking for tweaks.

The only thing that seems relatively future-proof is just being able to communicate clearly what you're trying to do. Not how to do it, or even what success looks like. Perhaps an element of it is even as basic as being honest with yourself.

extr··on Beam: Reflection's 501B open-weight model
Yeah I remember when the original post about this came out. Def not recent. Though I think their point survives in that they didn't exactly RL on this.
extr··on Pi 1.0
I agree. I don't necessarily "trust" Anthropic and OpenAI when it comes to CC/Codex respectively, but I respect that they have immense internal resources and telemetry to be able to understand what features move the needle and nudge traces in the right direction. I don't understand how non-labs judge feature inclusion? Just vibes?
extr··on Coding Is Not Solved
IDK with Opus 5.5 it does kind of feel like it's solved.
extr··on GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
It's a great model and you're right it does feel quite natural at times while Fable 5.1 still has a claude-ish shape to it. Unfortunately I just find that it's not reliable enough as a daily driver and ends up performing specialist tasks rather than being the primary pane of glass.
extr··on GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
I used to do this but recently I switched to having Fable 5.1 spawn forks of itself rather than Opus subagents. Yes it's more expensive but you don't pay for reads that already happened pre-fork, and you end up doing less rework since Fable agents are just much smarter.
extr··on GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
- It doesn't write great code.

- Occasionally has strange tics around asking for permission for obvious next-steps, implied actions, etc.

- It's very expensive, both in terms of tokens and % usage on subscription plans.

- Relatedly, effort level is unintuitive. Sometimes it seems like higher effort levels are actually cheaper due to not under-thinking and needing to correct work. But other times they are overkill and send the model into rabbitholes.

That said, it's fantastic as a code-reviewer or "hunter seeker". It's better at finding bugs than Fable and "Get this well articulated task done single-mindedly" is an Astra-shaped task.

extr··on GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
I just tell everyone to use Fable 5.1 for everything at this point. Astra is unfortunately a dud, I'm sure they will try to fix a bunch of it with GPT-6.1 but OAI has had this issue for awhile now where every other generation has some sort of strange tic, or reward hacking issue, or something. It's almost like they are balancing the RL on the tip of a needle.

Opus 5 has issues too, comment-slop, claude-ish, etc.

5.1 on the other hand can seemingly do no wrong. Easy to work with, writes human-level code. Expensive, yes, but even at Low effort it's well worth it.

extr··on NextDNS: fully configurable DNS, accepts money from customers as business model
I use NextDNS at home. It's great to have lots of control around DNS while also running a locked-down router (Eero). I personally use it in combination with a raspberry pi to run a version of this https://cazander.ca/2024/realfakeframe.io/ that redirects Fujifilm camera uploads to my Google Photos account rather than the proprietary frame.io integration. Well worth the cost!
extr··on Vomit: Clean up Claude 5's token output with a separate LLM
Sounds like you have a lot of axes to grind outside of simply "the latest models regressed on delivering concise prose".
extr··on Vomit: Clean up Claude 5's token output with a separate LLM
It's "literally unbearable" when the AI that completes software engineering tasks at 100x speed and quality from 2 years ago uses too much jargon?
extr··on Vomit: Clean up Claude 5's token output with a separate LLM
I'm sorry but the whining over LLM output styles is embarrassing. Do Claude and GPT models always respond in exactly the way my most articulate coworker would? No. The overused jargon is absolutely annoying. But these things aren't my drinking buddies, they're professional tools. It's not _literally unreadable_. It's just not ideal. Most of my tooling is "not ideal". That's okay. That's what I'm paid for. I just work around it.

For me I added some instructions to speak clearly and it helped marginally and that's fine. There will be a new model out in a few weeks where I'm sure they've laser focused on this issue since nobody can shut the fuck up about it. The same thing happened with GPT if anyone can recall the ancient period of 4-6 months ago.

extr··on Claude Code May–August 2026 weekly limits promotion
Unfortunately Sol does not compare to Fable at all.
extr··on Grok 4.6
keep in mind fable = mythos which as been "done" since february. so the gap is not 2 months, it's more like - techniques probably started "working" in late 2025, now are trickling down to 2nd tier labs 9 months later.
extr··on Grok 4.6
It's because Fable is just synthetic RL tasks + scale. The secret has been out for awhile now.
extr··on Manus will return to operating as an independent company
Manus did a lot of harness work to make up for gaps in Opus 4.5 tier models. I tried it for a time - they had a great deep research/PDF generation pipeline, parallelization, etc. The bitter lesson has now come for them: the latest models no longer have these gaps and the entire premise of having a unique product focus on this area is no longer relevant. Even Ant/OAI have let their "Deep Research" capabilities fall by the wayside, you can largely get the same result by asking for subagents or simply "keep going" style prompting.
extr··on Managing AI Coding Costs at Scale
yeah it's true, you do have to guide them. i find that the key is you have to know what's possible. you have to have the instinct for "this really shouldn't be so difficult". my junior SWE coworkers have the same trouble as your coworkers.

but the revolution is it doesn't take that long. in like 15 minutes you can chat with fable and get to the meat of whatever the issue is with repeated questioning. and then it does the solution for you. so it's not magic but it's still like a 100x speedup.

extr··on Managing AI Coding Costs at Scale
$80 is definitely low now that I look at my numbers. but not OOMs low, it's closer to like $200 on heavy days. i don't know how you're doing $3k/day, that's wild. i'm pretty aggressive about compaction and session restarts, and i reserve Fable 5/Sol XHigh for "main thread" orchestration
extr··on Managing AI Coding Costs at Scale
Yes lol. Of all things people are getting on me for it's the number of LoC x Years In Business of this startup. I don't fucking know, I didn't start the company and I wasn't here for several of those industrious years. Looking now it looks like we have slightly fewer LoC than that, I was counting some of the generated stuff.

But who cares? The point is any codebase over a few years old with lots of customers and a big surface area has lots of code, much of it "legacy" from the standpoint of a guy in 2026.

extr··on Managing AI Coding Costs at Scale
> "unguided" means "I typed a prompt into claude code and waited yolo"

Yes, this is literally what that means.

extr··on Managing AI Coding Costs at Scale
This is a great point and I agree. My own productivity varies based on what part of the codebase I'm working on. If it's "been in there before" and I know the right questions to ask, I can one-shot a good design/improvement. If I'm spending 20-30 minutes asking Fable to "draw a diagram so I can understand" - probably less so. But notably, I CAN get there in a fraction of the time it would have taken before. You can general personalized onboarding docs to ~anything.
extr··on Managing AI Coding Costs at Scale
It's a fair point, it's not truly unlimited and I do wonder how that would change my workflow. I can definitely imagine if I was inside Anthropic or OAI with unlimited "fast" tokens, you would be more tempted to hand over even more of this process. I completely understand why they talk about "graph engineering" and such, my entire workflow above could be a graph and I could try to increase my leverage even further. Realistically though I am bounded by product decision making, not code output right now.
extr··on Managing AI Coding Costs at Scale
No, actually. The point is to build a profitable business.
extr··on Managing AI Coding Costs at Scale
> unguided LLM usage

Why aren't you guiding your LLM usage? Is that what I said - to spam it and not guide anything? Or to have a careful workflow where you agree on design and maximize your human judgement/leverage?

> any state that's not explicitly being tested and verified in QA loops

As opposed to before, when engineers perfectly reasoned about code behavior from first principals and QA was unnecessary?

extr··on Managing AI Coding Costs at Scale
How is this not true? Taking a Senior SWE @ ~$200K, even just the base salary cost / 2080 working hours is $100/hr. Fully loaded employer cost + accounting for non-coding time gets you to upper 100s easily.

Even for a junior making $100K, I have a hard time believe their time is worth less than $75/hr or so.

Edit: Fine, "Senior" is not "Average". But naive salary is not the true numerator.

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