This post isn't just for developers. It's also for anyone who's ever hired a development agency — or a "digital product" shop — and felt like they were flying blind.
Software development is often compared to construction. And it's not by accident: there are blueprints (diagrams), structural decisions that are hard to reverse, and yes, egos.
One of the most common mistakes is making technical decisions based on personal taste or tech trends. "I want to try this technology," "I like this other one better," "let's use this just in case." This usually leads to more complexity, higher costs, longer timelines, and above all, losing focus on what actually matters: the business.
What do we mean by software architecture?
Architecture defines how a system is structured and organized, how its components interact, and which decisions are hard to change later.
It's the foundation everything else is built on. Get it wrong early, and you'll pay for it at every stage that follows.
What makes an architecture scalable?
Scalability is a system's ability to grow without breaking — handling increased load by adding resources.
But scalable doesn't have to mean complex.
If you're launching an MVP in two weeks to validate an idea over the summer, you probably don't need a microservices API or multi-region deployments. A simple, well-thought-out, maintainable solution can be far more effective.
The key insight: scalability is about making decisions that don't paint you into a corner, not about building for millions of users on day one.
What we use at BlackBox Vision (and when)
Over 50+ product launches, we've developed a clear sense of when to reach for different tools. Here's what guides our choices:
Firebase: fast MVPs with real-time needs
Firebase is ideal for rapid MVPs. Real-time database, NoSQL, authentication, and analytics — all ready to use out of the box.
Best for: consumer apps, real-time features, prototypes that need to ship in days, projects where speed-to-market is the top priority.
Trade-offs: limited querying capabilities, vendor lock-in to Google Cloud, harder to migrate away from as your data model grows.
Supabase: when you need relational power
Supabase is excellent when you need SQL, relationships, and more complex logic. It requires deeper knowledge — Row Level Security, stored procedures, triggers — but it's powerful and meets compliance standards like SOC2 Type 2 and HIPAA (on advanced plans).
Best for: B2B products, apps with complex data relationships, projects with compliance requirements, teams that already think in SQL.
Trade-offs: steeper learning curve, more upfront setup, requires understanding of PostgreSQL internals.
How to choose between them
| Factor | Firebase | Supabase |
|---|---|---|
| Speed to prototype | Faster | Moderate |
| Data relationships | Limited | Strong |
| Real-time | Built-in | Built-in |
| Compliance (SOC2/HIPAA) | Limited | Available |
| Migration path | Harder | Easier (PostgreSQL) |
| Learning curve | Lower | Higher |
On the frontend: not everything has to be Next.js
For a simple landing page or a blog, Vite can be more than enough.
Next.js makes sense when there are specific needs like Server-Side Rendering — for example, a news site where content must be updated on every request (like we built for Acercando Naciones).
But not every application needs SSR. And choosing Next.js "by default" introduces complexity in hosting, build pipelines, and mental model that many MVPs simply don't need.
When to use what
- Vite + vanilla or React SPA: Landing pages, dashboards, internal tools, client-side apps
- Next.js: SEO-critical content sites, apps that need SSR/ISR, projects with complex routing and data fetching at the page level
- Astro: Content-heavy sites, blogs, marketing pages where you want near-zero JavaScript
The right choice depends on your product's actual needs — not on what's trending on Twitter.
Common architectural mistakes in MVPs
After building 50+ products, we see the same patterns repeat:
Over-engineering from day one — Microservices, Kubernetes, event-driven architecture... for an app with 100 users. Start simple. You can always add complexity later.
Choosing tech based on hype — The best technology is the one your team knows well and that fits the problem. A boring, well-understood stack beats a shiny, poorly understood one every time.
Ignoring the migration path — Your MVP will change. Pick tools that let you evolve without a complete rewrite. PostgreSQL gives you more exit options than a proprietary NoSQL store.
Premature optimization — Don't optimize for scale you don't have. But do make decisions that don't prevent you from scaling later. There's a difference.
No separation of concerns — Even in an MVP, keep your business logic separate from your infrastructure. When it's time to scale or switch providers, you'll thank yourself.
The bottom line
There's no single ideal architecture. What matters is understanding the context, avoiding over-engineering, and making decisions aligned with business objectives and the project's real technical needs.
The best architecture for your MVP is the simplest one that solves today's problem while leaving the door open for tomorrow's growth.
