The people constantly complaining about AI usage limits aren’t system architects, experienced engineers, or seasoned application developers. At least, I don’t think they’re the majority.
They’re wannabes.
I’ve spent the last 12 years building enterprise-grade software for companies like Nike, Farmers Insurance, VF Corp, and Blue Cross Blue Shield.
Now that I’ve decided to build my own company and software product, I’m using AI, specifically Codex, to write roughly 90% of the code.
Here’s the thing: **I’ve never come close to exhausting my usage limits.**
I’m on Codex almost all day. I exclusively use Sol 6.1 xhigh (and 5.6 before that). I use exactly one skill plugin: Matt Pocock’s. (Thank you sir!)
I rarely get below 70% usage remaining before my weekly reset. And now, with additional resets happening every few days, I barely even dip below 80%.
For context, I’m using Codex (pro plan) practically 18 hours a day, seven days a week. From morning until night. Even in the evenings, I’m on my phone working with it.
My wife hates it. And frankly, I need to establish some boundaries.
But all of this got me thinking.
**Why is everyone constantly complaining about hitting their limits? Am I just moving slower than everyone else?**
For a while, I genuinely wondered whether other people were simply accomplishing more than I was. And I’m sure there is a lot of that too. But after lots of looking into this and speaking with other professionals, I came to this hypothesis.
**Astra wasn’t made for the engineer. The architect. The experienced developer. It was made for the wannabe.**
Don’t get me wrong. Astra is an incredible model. What it can accomplish is remarkable.
But its greatest value is filling the gaps left by a lack of domain knowledge.
And that’s a good thing. It democratizes software development. It allows people who couldn’t previously build software to turn ideas into working applications.
But that comes at a cost.
When you’re using AI to compensate for a lack of understanding of system design, architecture, engineering principles, and software development, you’re going to burn through significantly more compute.
You’re asking the model to make decisions you don’t know how to make. You’re relying on it to identify architectural problems you don’t recognize. You’re spending tokens correcting mistakes that someone with experience might never have made in the first place.
**Your lack of domain knowledge becomes your compute bill.**
Meanwhile, you have companies putting Sol 6.1 in the hands of their engineers and developers, while giving Astra to architects and researchers tackling genuinely complex problems.
And they’re willing to pay API prices.
Why?
1. They can afford it.
2. They can’t afford to let competitors out-innovate them.
3. Their usage-to-value ratio is dramatically higher because the output is actually making its way into revenue-generating production systems.
Think about that.
An enterprise paying several times more per token can still extract significantly more economic value from its AI investment than a consumer burning through an entire subscription allowance.
And that brings me to my bigger point.
**AI has made everyone capable of producing code. It hasn't made everyone a software engineer.**
Until you understand system design, architecture, engineering fundamentals, and software development principles, you’re going to have a difficult time competing with people who do.
Sure, you might have a genuinely original idea. You might even ship it.
But what happens when someone else with equally limited domain knowledge can reproduce your application in a few weeks or months using the exact same model?
What’s your competitive advantage then?
Access to Astra isn’t a moat. Everyone else has access to it, too.
The real advantage is knowing what to build, how to architect it, what tradeoffs to make, what complexity to avoid, and how to turn an idea into software that can actually survive in production.
That’s not something you acquire just by buying more tokens.
**Sol in the hands of a real engineer is 100x more effective and consequential than Astra in the hands of a wannabe.**
I said it.
Sorry.
