Press enter or click to view image in full size
You’re sitting in another demo. The sales guy is walking through his “revolutionary” platform. You’re watching him click through screens, explaining features, talking about “seamless integration” and “best-in-class workflow.”
And you’re thinking: This person has never done my job for a single day.
The workflow is backwards. The fields you actually need aren’t there. The report they’re so proud of shows metrics you stopped caring about five years ago. There’s a feature that would take you three clicks in the old system that now takes nine. They call it “intuitive.”
You know what happens next because you’ve done this twenty times. You’ll sit in meetings. The consultant will insist you need to change your process to match the software. “Industry best practices,” they’ll say. You’ll spend six months implementing it. It will cost a quarter million. Your team will hate it. It will make you slower.
And in two years, you’ll be sitting in another demo.
This is software in 2025. And it’s not getting better. It’s getting worse.
The Scam Nobody Talks About
Here’s the dirty secret: the best ideas never get built.
Not because people lack vision. Not because markets don’t exist. But because the wrong people decide what gets built.
Think about who creates software in your industry. It’s either:
Option A: A 26-year-old technical founder who did a summer internship at your competitor, thinks they understand your space, and raises $3 million to build features nobody asked for. They’ll pivot four times, burn through the money, and shut down before they figure out what you knew on day one.
Option B: A “business person” with killer connections who raises $20 million, hires a team in Eastern Europe who’s never seen your industry up close, and builds exactly what was in the original pitch deck. Which is exactly what you could have told them wouldn’t work if anyone had asked you.
You — the person who has spent fifteen years learning every nuance of this industry, who knows which problems actually matter and which are just expensive distractions, who can spot a bad workflow from three rooms away — you don’t get to build anything.
Because you can’t code. Or maybe you can, but you have a family now. Long gone are the days of staying up until 3AM every night without a care in the world.
And you can’t raise $20 million either.
Software gets built by whoever has technical capability or capital connections. Not by whoever understands the problem.
This selection filter is why enterprise software is universally despised. Why “digitalization” promised productivity but delivered bloat. Why you waste two hours every day fighting tools that should be helping you.
The wrong filter has been running for fifty years. And it’s produced exactly what you’d expect: lowest-common-denominator garbage designed by people who don’t use it for people they don’t understand.
The Thing That Almost Changed Everything
Over the last two years, something shifted.
Tools like Cursor, Replit, and Bolt exploded. Suddenly, millions of people discovered they could describe what they wanted and get working code. No computer science degree needed. No bootcamp. Just “build me a tool that does X” and boom — there it was.
The domain experts woke up. The people who actually understood their industries could finally prototype their ideas. This was it. This was the moment the filter was supposed to break.
Except it didn’t.
Because here’s what happened next:
You build your prototype. It’s beautiful. It does exactly what you envisioned. These tools are legitimately impressive — they can scaffold auth systems, integrate Stripe payments, even deploy to hosting platforms. You show it to five colleagues. They’re blown away. “This is exactly what we need,” they say. “Can I use it?”
Can they use it?
Well… maybe. The first users often have great experiences, but then they inevitably start asking for modifications, or look a bit closer at what’s going on under the hood, and that’s when it all goes wrong.
The tools built it fast. They can even deploy it. But they built it the way a first-year CS student would: working code that handles the happy path. Not production-grade systems that reason about edge cases, architectural coherence, security at scale, or how pieces interact when the system grows.
You’re not stuck at “prototype.” You’re stuck at “brittle MVP that works until it doesn’t.”
The wall is still there. It’s just in a different place now.
Most domain experts see this coming and don’t even start. They’re experienced enough to know the difference between “it works on my machine” and “it works for a thousand users across different contexts.” The few who try hit it at full speed, right when they’re most excited, right when they’re thinking “holy shit, I can actually do this.”
And then they realize they can’t. Not all the way. Not to the thing that becomes a real business.
Meanwhile, the people who don’t see it coming? They’re shipping. Hustlers with no domain knowledge and a Cursor subscription are flooding the market with brittle MVPs that work just long enough to get funded or sold before they collapse. The selection filter didn’t just stay broken, it got worse.
At least the old gatekeepers knew the basics of your industry. These new builders don’t even know what they don’t know. They’re just vibing their way to technical debt at scale.
The wrong people are still building. And your industry’s software still sucks.
Except Now It Doesn’t Have To
Something happened this summer that most people missed.
As described in VentureBeat, Mark Ruddock was on a transatlantic flight from San Francisco to London. He had a critical client demo in 48 hours and his platform wasn’t ready. What he needed to develop would normally take weeks. He had six hours until landing.
Still, he set to work at 34,000 feet.
By the time he touched down, he had built what would have taken a human team 18 developer-days: 50 React components, mock APIs for three enterprise integrations, a full admin interface, and a production-ready deployment pipeline. Not a prototype. Not a demo. Production-ready code with tests, documentation, and CI/CD configs.
“I will never build a software company the same way again,” Ruddock said.
How did he do this? By using agentic swarms.
Agent swarms are made of multiple specialized AI agents working together — one reasoning about architecture, another handling security, another managing deployment, another ensuring tests pass — coordinating like a team that actually knows what they’re doing.
This is fundamentally different from what came before:
One: These swarms don’t just generate code. They reason about systems. Not “write me an auth function” but “architect a secure multi-tenant system that handles authentication, authorization, and data isolation at scale, accounting for the edge cases that will break a naive implementation.” The jump from code generation to architectural reasoning is the difference between a junior developer and a senior engineer.
Two: Infrastructure became fully programmable in ways that agentic systems can orchestrate. All those hard problems such as real-time sync, security at scale, deployment pipelines, and monitoring used to require specialists. Now they’re handled by platforms that multiple AI agents can coordinate across. The complexity didn’t disappear. It got abstracted into layers that teams of agents can compose rather than build from scratch.
Three: The build-measure-learn loop collapsed from months to days. These swarms can deploy production-grade systems in hours. Get real usage data immediately. Coordinate fixes across multiple system components. Learn what works. Iterate again. And again.
The summer of 2025 was when this crossed the threshold from “impressive demos” to “people shipping real products.” Developers reported building in 48 hours what used to take teams weeks. Not prototypes. Production systems with tests, documentation, deployment pipelines, and security.
This doesn’t just make building faster.
It eliminates the wall.
“‘Vibe coding’ is legacy now,” says Val Bercovici, a veteran CTO who watched his most cynical engineer — nicknamed the “Prince of Darkness” — get converted by what these systems can produce. “Experienced software developers are seeing our entire craft of 30, 40 years fundamentally change in the span of a couple of months.”
Put together, it means you don’t prototype and then start over with developers. You don’t raise funding and hire a team. You build production-grade from day one. You ship to real users. You learn from real behavior. You iterate with a coordinated team of AI agents that maintain architectural coherence as your system grows.
Build. Measure. Learn. Repeat.
The loop Eric Ries described in 2011 — the one that only technical founders could execute because they were the only ones who could build fast enough to make the cycle work — just became accessible to everyone.
The implementation barrier that kept the best ideas locked away? Gone.
The filter just flipped.
What Happens Next
When implementation becomes a commodity, value flows back to what actually matters: understanding problems deeply enough to solve them right.
The founder who spent fifteen years in logistics and can see the AI-native solution that transforms the industry? They can build it now. Today. This week.
The superconnector who knows exactly what enterprise buyers actually need because they’ve been in the room for a hundred deals? They can test their thesis with a deployed product, not a pitch deck.
The mid-career professional who has watched their industry struggle with the same stupid inefficiency for a decade? They can fix it. For real. In production. With paying customers.
Not in theory. Not “if they can raise funding” or “if they can find a technical co-founder.”
Now.
The software that gets built over the next five years will look nothing like the last thirty. Not just because the technology is different but because the people building it will be different.
The domain experts are coming. The ones who have been locked out for decades. The ones who actually know what needs to exist.
And they’re not coming with business plans and pitch decks and fundraising roadshows.
They’re coming with shipped products. Real users. Validated learning. Paying customers.
By the time the traditional players figure out what’s happening, the markets will already be captured.
The question isn’t whether this will happen.
The question is: are you going to be one of the people who does it?
Or are you going to sit in another demo, watching someone who doesn’t understand your job explain how their software is “revolutionary,” thinking about what you would have built if you could?
We built Bonnie to turn domain expertise into shipped products.
You start with a discovery interview. We help you turn your insight into testable hypotheses. Build the minimum to test it. Ship to real users. Learn from actual behavior. Iterate.
The lean methodology, finally executable. By the people who actually understand the problems worth solving.
The technical wall is falling. The question is what you’re going to build now that you can.