The LLM Unlock

Andre Karpathy coined the term “vibe coding” early last year and the original concept is worth understanding, because it tells you something about the AI transition of 2025. The idea: give the model enough context, describe what you want, let it generate, only step in when something breaks. He described it as “fully giving in to the vibes” and not even reading the code. His point wasn’t that this is always good practice. His point was that it’s now possible in a way it wasn’t before. Even though the vibe term became popular early 2025, by the beginning of 2026 Karpathy said, “I don’t think I’ve typed like a line of code since December (2025)”. It shifted that fast.

Cursor crossed into mainstream dev tooling somewhere in mid-2025, and the numbers behind that adoption are worth looking at directly if you haven’t. The gap between “generates plausible code” and “generates code I’d actually ship” closed a lot when the AI-driven code editor started holding real context about your entire codebase rather than just the current file.

“How I Built ANOTHER Profitable App From Scratch SOLO” Edmund Yong tells the story of turning a simple tutorial project into a profitable translation browser extension called Fluently. He wanted to move beyond "toy apps" and address a genuine user pain point (inaccurate native captions) and he validated the idea (important!) through online research and competitive analysis. Edmund built with AI and created his entire product in one weekend. His YouTube not only tells the full, detailed development story, including all of the technical hurdles that many YouTube videos like this bypass, he also talks about his critical (and again, often bypassed) marketing efforts. This is a great, practical guide for turning a pain point into recurring revenue. Highly recommended.

What I’m building

I want to announce something here, because it connects directly to what this arc is about.

I'm partnering with MyAIMoat to co-design a 6-week AI cohort course. MyAIMoat is a platform built for professionals who know AI is reshaping their field and want to do something concrete about it. Not just stay informed, but actually build demonstrable capability. The core argument of the cohort is the same one BUW runs on: the gap in the AI job market isn't awareness, it's proof. Employers aren't struggling to find people who've heard of AI. They're struggling to find people who can show real, working artifacts they built with it.

The cohort is designed to close that gap: a done-with-you transformation into a provable AI builder, with real artifacts to show at the end of six weeks.

Free webinars are coming first. MyAIMoat.com to stay in the loop.

The LLM Unlock

Issue 0000 made the big-picture argument. This is the part where I go one level down into what specifically shifted and why it actually matters for builders like you.

Here's what 2025 looked like, compressed

At the start of last year, Karpathy coined "vibe coding" and it was treated, reasonably, as a provocative idea, not a production practice. The models of early 2025 were good enough to generate code. They were not good enough to reason about a codebase. There's a meaningful difference. Autocomplete gives you a faster typist. Reasoning gives you something closer to a collaborator who understands what you're building and why it's structured the way it is.

That changed mid-year, when a new generation of models crossed the reasoning threshold. Claude Sonnet 3.7 was one of the significant ones: it could hold enough context to understand a whole project, trace consequences, and propose fixes that accounted for what was downstream. At the same time, coding environments like Cursor evolved from file-level autocomplete to full development systems, giving those reasoning models access to your entire codebase, your terminal, your test runner, your error logs. The model got smarter. The tooling got the model closer to the whole picture.

The combination of those two things, better reasoning plus better context, is what enabled the multi-step shift. There's a real difference between "write me a function" and "take this spec, scaffold the project, write the tests, and flag the three places you're not confident about." By the time Claude Opus 4.5 shipped in November 2025, the second thing started working reliably enough for developers to start to trust the system.

And by the start of 2026, Karpathy said he hadn't typed a line of code in months.

And then, February 5, 2026, Opus 4.6 arrived, and excuse my French, but developers lost their sh*t. (And I kid you not, as I am typing this, Opus 4.7 just dropped. Next revolution to been determined.)

That's the arc. "Vibe coding" went from a provocative experiment to the way one of the best programmers alive actually works, in under a year. Not because he handed control to the machine. Because the machine became good enough that directing it became more efficient than doing it himself.

That's the development system that exists now. Not a better autocomplete. A whole system: reasoning model, context-aware environment, multi-step execution. A solo builder can now leverage this capability to ship what used to take a team. And do it faster.

None of this means "AI ships your product for you." It means the friction around every non-core task dropped substantially.

The old math vs. the new math

Being a solo builder has always meant wearing too many hats.

You have the code hat. That one might fit reasonably well. But you also have the copywriting hat, the design hat, the documentation hat, the onboarding-email hat, the landing-page hat, the error-message hat, and the “figure out how to configure this payment processor at 11pm” hat.

Most of those hats don’t fit. And wearing all of them badly is why most solo builders don’t ship.

Old math: idea → need copywriter + designer + developer + support person → team required → most solo builders stall here.

New math: idea → one person with taste and an ability to communicate specifically + LLM tooling → boring utility shipped in a weekend.

That compression is structural. The “everything else” tax that used to eat your momentum is dramatically smaller. The bottleneck was never the idea. It wasn’t even the code. It was everything surrounding the code.

That surrounding stuff is now, largely, handled.

What you still need (the part most coverage skips)

Here is where I’ll be more direct than most AI content: the unlock is not magic.

What AI generates is average. Technically competent, statistically probable, middle-of-the-distribution output. That’s genuinely useful as a starting point. It’s not useful as an ending point.

What you need that the model cannot give you:

Taste. Knowing what a boring, useful thing looks like, as opposed to a technically interesting thing that solves no one’s actual problem. This is the core skill. It’s the one that takes time and attention to develop. The rest of Arc 1 is about developing it.

Direction. A specific enough problem statement that you can call the thing done when it’s done. “Productivity tool for remote workers” is not a direction. “A timezone grid that shows when everyone is awake, no login required, loads in under two seconds” is a direction. The specificity is the discipline.

The boring lens. The temptation when you can generate faster is to generate bigger. Don’t. The boring utility wins not because it does everything but because it does one thing with zero friction. That constraint is still your friend. LLMs are better than ever at generating the implementation. They are not better at knowing which problem is worth implementing.

That part is still your job.

What this means for your build queue

If you have ideas sitting in a note somewhere, this is a good moment to look at them again.

The question is no longer “do I have the bandwidth to build this?” The question is “do I have a specific enough problem and enough taste to curate the output into something genuinely useful?”

If yes: the constraint that was blocking you may not be there anymore.

Next issue: how to find boring gold hiding in plain sight. Specifically where to look, what to look for, and how to train your eye for the unsexy opportunities that bigger players are ignoring.

Poll

How has AI tooling changed your building pace in the last 6 months?

(Hit reply with your answer, or just tell me what’s actually happening for you. I read everything.)

Before you go

Boring Utility Weekly is a methodical walk through the full solo builder journey: finding boring opportunities, shipping the smallest useful thing, getting paid without a growth machine, and making it sustainable as one person.

If someone forwarded this to you, back issues start at boringutilityweekly.beehiiv.com.

Hit reply if you’re in the middle of something. I read everything.

– Karlo

Boring Utility Weekly

You’re getting this because you subscribed at boringutilityweekly.com. Unsubscribe any time, no hard feelings, no dark patterns.

Back issues are always available here (when I have enough issues to be “back”)