AI-generated code no one understands; verification shifts from luxury to necessity
System-level verification used to be too expensive for anyone to attempt; now the same compute budget delivers the rigor of strict testing, making it indefensible to skip.
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Verification has become the hard currency of trust
As AI-generated code explodes in volume, engineers increasingly can't see what's actually happening in their systems. Chai compares this to CPUs—no one needs to understand their internals because they've been proven reliable. Code lost that foundation of being readable and verified. Customers never buy code itself; they buy promises like ‘your database won't lose data’. Workers.io rebuilds that trust.
— Chai ChoudharyHandful of clients can create million-scale traffic
Edge cases that used to require millions of real users to surface now appear with a handful of clients running heavy agent workloads. 100 people with 10,000 agents generates load equivalent to a million real users. Engineering headcount hasn't grown and has even shrunk, but code delivery increased tenfold. This raises the floor that every system must reach for reliability—and is partly why major services have outaged recently.
— Chai ChoudharyLow pricing creates higher switching costs than premium models
Rather than matching competitor pricing, Chai built a deliberately simple product at deliberately low price, making anyone on the team willing to use it, and use it more often. Usage volume went up, switching costs with it—and paradoxically, revenue exceeded higher-priced competitors. He credits this pricing decision with making early sales gradually easier.
— Chai ChoudharyYou can learn to code on paper without internet
Chai grew up in a village of a few dozen people in Rajasthan with no internet. He got his first computer at 16, with one hour per week of machine access; code had to be written on paper first. He built a tool that recorded classmates' keystrokes and snuck it onto the lab computer; when caught, the lab zeroed out his access. By high school, the village's fastest internet was 2 Mbps—downloading a movie took three days. He'd never used the internet before college.
— Chai ChoudharyTiming the market beats moving fast
His first company made localized short-form video content and hit the moment when Indians had just come online but had nothing to watch—one series got 200,000 plays in its first week. But he and his co-founder weren't satisfied with a business needing constant new IP. The pivot to interactive video platforms flopped. He sold before the free-internet boom made the assets valuable. The lesson: believing ‘now is the best time’ is itself a decision bias.
— Chai ChoudharyTest if it's worth building before choosing your shape
Before Workers.io, he tried an AI travel agent and an email client for travel advisors. Travel was a price war with Booking and Expedia over Google Ads spend. The email client didn't hurt enough for customers to pay. He identified software verification as the problem he actually understood—and abandoned the other two to avoid marrying himself to one solution shape.
— Chai ChoudharySpeak about unsolved problems before you have solutions
His regret: waiting too long to make content. Even without answers, talk about the problem itself—it stakes your position in the field and brings customers to you. He now publishes every other day, not always his best work, but consistent signal makes customers think he knows what he's doing and they reach out. Most of his customers now come through his content.
— Chai ChoudharyEven Postgres isn't bulletproof under systematic testing
Workers.io wasn't setting out to test Postgres; it was just part of a customer's stack. But testing found a few issues—not severe, but enough to prove that even a database tested for decades and trusted everywhere can have gaps. Combine the world's safest database with the world's safest auth system, and the overall system can still be unsafe. Past testing was module-by-module; almost no one exhausts the full state space.
— Chai ChoudharyIn their own words · checked verbatim
Nobody's buying code. People are buying that. If I'm going to implement this database in my bank, it's going to handle all the workloads that we see and you're not going to lose data.
Chai Choudhary3:53
It's not like the engineers have increased. If anything, there are less number of engineers actually working today, shipping like 10 times the code, which now changes how you need to think about your systems.
Chai Choudhary6:07
if we make it easy enough to use and like, and reasonably priced, it's just going to be used way more often in these teams. And then it'll also be much more difficult to replace it, but we'll end up generating way more revenue.
Chai Choudhary9:15
So the same thing that we sold for pennies ended up becoming way more valuable. And now it's one of the most expensive IPs that exists.
Chai Choudhary18:28
I think you should just go out as soon as possible. Like if you don't have a solution, talk about the problem, right? Like you can just do that. And then that will establish you in the space.
Chai Choudhary37:57
I think that the answer is solo founder will be the default way that companies get started, right?
Chai Choudhary43:00
it shows, like, one of the most well-tested systems out there. Like, this database that runs in, like, probably handles a lot of important workloads in the world has issues, right? And what does that say about your system?
Chai Choudhary52:49
It can be incredibly lonely, I would say at times, like you don't have anybody to celebrate your successes with. If anything goes wrong, you are the only one to blame.
Chai Choudhary1:08:26
Figures
| S.O.R.D. first-week views | 200,000 | 16:26 |
| High school era local max internet speed | 2 Mbps | 15:26 |
| Show YouTube subscribers | 14,000 | 40:59 |
| Show Instagram followers | 12,000 | 40:59 |
| Formal methods community size | hundreds | 42:00 |
| US solo founders share change | doubled in past five years | 43:00 |
| Small team equivalent traffic load | 100 people with 10,000 agents | 6:07 |
Glossary
- Formal verification
- Proving a system correct through mathematical exhaustion rather than sampling with test cases.
- Deterministic Simulation Testing
- Systematically exploring all possible states of a system to guarantee correctness without failure modes.
- ICP
- Ideal Customer Profile—the customer type a company most wants to reach and who will most willingly pay.
How to listen
Infrastructure and database-focused technical founders, and engineers deciding between solo founding and finding a co-founder.
7:12–8:13 (Solo Founders Program ad)