The decisions you make in the first 90 days of building a product will determine how much you pay — in money, time, and engineer frustration — for the next five years. Most founders don't realize this until the bill arrives.
I've seen it at FlyAkeed, I've seen it with every startup I've worked with, and I've seen it in the companies that come to me when things are already on fire. The patterns are always the same.
1. Hiring the cheapest developer available
This is the most common and most expensive mistake I see. A founder with a limited budget finds a freelancer who charges a fraction of market rate, and three months later they have a product that works — barely — and a codebase that nobody else wants to touch.
The cost isn't the initial invoice. The cost is the six months you spend later paying a senior engineer to rewrite what the junior developer built. The cost is the bugs in production. The cost is the engineers who quit because they can't work in that environment.
What to do instead: If budget is tight, hire one expensive engineer part-time rather than one cheap engineer full-time. Seniority scales — juniors do not.
2. Skipping documentation because "we'll write it later"
Later never comes. I have never, in my entire career, seen a team go back and document code they wrote six months ago. It doesn't happen.
What does happen: a new engineer joins, spends three weeks trying to understand the system, gets frustrated, and leaves. Or worse — they stay, make assumptions about how things work, and introduce bugs that take weeks to trace.
Documentation doesn't mean writing a novel. It means:
- A
README.mdthat explains what this repository does and how to run it locally - A brief comment on any non-obvious function
- An architecture decision record (ADR) for every major technical choice
That's it. Two hours of writing saves weeks of confusion.
3. Picking technology to impress investors, not to ship product
I've watched founders choose Kubernetes for an MVP with 200 users. I've watched teams adopt microservices before they even had product-market fit. I've seen React Native chosen because it "sounds modern" when a simple web app would have done the job.
The question is never "what's the most impressive stack?" The question is "what gets us to 1,000 users the fastest, and can we scale it when we need to?"
The boring choice is usually right. PostgreSQL over a trendy NoSQL database. A monolith over microservices. A managed service over self-hosted infrastructure. Boring means fewer things to go wrong, fewer specialists to hire, and fewer surprises at 2am.
4. No environments beyond production
Many early-stage products have exactly one environment: the live one. Developers push code directly to production, test on real user data, and cross their fingers.
This works until it doesn't. And when it doesn't, it fails in front of your users.
The minimum viable environment setup is three:
- Development — local machines, each engineer's own copy
- Staging — an exact mirror of production, where you test before releasing
- Production — what users see
Staging costs almost nothing on modern cloud platforms. The cost of not having it is an outage every time you ship something.
5. Treating security as a feature to add later
Authentication bolted on after launch. No input validation. API keys hardcoded in the repository. Passwords stored in plain text. I've seen all of it, often in the same codebase.
Security is not a feature. It is not something you add in version 2. It is a foundation — and foundations are built first.
The bare minimum that every product should have from day one:
- Proper password hashing (bcrypt, not MD5)
- Environment variables for all secrets, never in code
- HTTPS everywhere, no exceptions
- Basic rate limiting on all authentication endpoints
None of these require a security expert. They require discipline.
6. One engineer who knows everything
"Ahmed built this, ask him." If you hear this sentence in your company, you have a problem.
The knowledge of how your system works should not live in one person's head. That person gets sick, goes on holiday, gets a better offer and leaves — and suddenly nobody knows how the payment system works.
The fix is boring but critical: code reviews (at least one other person reads every change), shared documentation, and a culture where knowledge is written down, not remembered.
The underlying pattern
All of these mistakes share the same root cause: optimizing for speed now at the cost of everything later. The irony is that most of these shortcuts don't even save that much time upfront. Skipping documentation saves you two hours today. Paying for it costs you two weeks over the next year.
The founders who build maintainable products don't move slower. They move deliberately. They make the boring, unsexy decisions that nobody tweets about — and five years later, their team is still shipping at speed while their competitors are stuck rewriting systems that were never built to last.
If any of this sounds familiar, I work with founders and CTOs to untangle exactly these situations. You can submit a request and tell me what you're dealing with — no commitment, just an honest conversation.