Custom Mini-Applications

We use AI assistants as technical partners to diagnose issues faster and generate solutions more accurately. Every output is reviewed and tested before deployment.

AI accelerates critical work in two ways: First, it helps us pattern-match against thousands of known scenarios, narrowing diagnosis time from hours to minutes. Second, it generates code that we verify against your specific tech stack. You're paying for expertise in using AI well—knowing when to trust it, when to override it, and how to test thoroughly.

Think of it like an experienced mechanic using diagnostic software. The tool speeds things up, but the human expertise determines the actual solution.

Yes. We use external AI providers (like OpenAI, Anthropic) with strict privacy modes enabled. Your code is processed but never used to retrain their models and is not retrievable by anyone else.

Here's how we protect your information: All major AI providers offer enterprise privacy settings that prevent your data from being stored long-term or used for model improvement. We work exclusively with these privacy-enabled modes. For sensitive data (API keys, credentials, personal information), we sanitize or exclude it entirely before any AI processing. We also sign NDAs for confidential projects.

For authentication systems, payment handlers, and personal data processing, we often write critical sections manually with zero AI involvement. Security isn't negotiable—we balance AI efficiency with your privacy requirements.

We review every line of AI-generated code before it reaches production. No AI output goes live without human verification, testing, and security review.

Our workflow: AI suggests solutions, we evaluate them against your requirements, test for edge cases, check for security vulnerabilities, and verify the code integrates properly with your existing system. We treat AI suggestions like junior developer output—useful starting points that require experienced oversight.

What we check: Security flaws (SQL injection, XSS, authentication bypasses), performance issues (N+1 queries, memory leaks), maintainability (is this code readable in 6 months?), and business logic correctness (does it actually solve your problem?). Insecure or poorly architected code gets rewritten or rejected, regardless of whether AI or humans wrote it first. You're protected by our review process, not blind trust in AI output.

We're transparent about this: AI tools are integrated into our development workflow, and we believe that benefits you directly. Modern development assistants help us write cleaner code faster, catch bugs earlier, and maintain consistency across your project — which means better quality at fair prices.

But here's what matters: Your project data, business logic, and sensitive information stay private. We use AI the same way we use any professional tool — strategically, with full control over what gets processed and how. Think of it like spell-check for code, not outsourcing your project to a black box.

If you have specific privacy requirements (healthcare data, proprietary algorithms, regulated industries), we work within those constraints. We can discuss exactly what tools are used where and adjust our approach for sensitive components.

What we won't do is pretend the industry hasn't evolved. AI-assisted development is now standard practice at serious software houses — the difference is whether your provider is honest about it and uses it responsibly. We are, and we do.

Mini-applications focus on solving one core problem well instead of being everything to everyone. Smaller scope, faster delivery, lower cost—but still production-quality code.

The difference is intentional constraints: Limited feature set (one primary workflow, not ten competing priorities), simpler tech stack (proven tools, not experimental frameworks), pragmatic design (functional and clean, not award-winning), and lean architecture (easy to understand and modify, not over-engineered for theoretical future needs). This doesn't mean cheap or fragile—it means focused.

For example: A full e-commerce platform handles inventory, orders, shipping, customers, analytics, marketing, reviews, and multi-vendor support. A mini-application might just be "a simple ordering interface for your restaurant" with menu management and order notifications. You get 90% of the value at 20% of the cost by ruthlessly cutting unnecessary features. We help you identify the 10% that actually matters instead of building everything and hoping it works.

The code is built to be maintainable and extensible. Adding features later is straightforward because the architecture is clean, not convoluted. You can hire us or any competent developer to extend it.

We write mini-applications with future growth in mind—modular structure, clear documentation, standard patterns—but we don't over-engineer for hypothetical features you might never need. When you do need to add something, the foundation is solid. Common additions: User roles and permissions (if launched with single-user admin), additional data fields or workflows, third-party integrations, reporting and export features.

Cost to extend: Depends on complexity, but typically 30-50% cheaper than if we'd built the feature initially because the foundation already exists and we understand the codebase. If another developer takes over, the clean code and documentation make their job easier (and cheaper for you). What we avoid: Building features "just in case" that bloat the initial project and might never get used. You can always add features when you actually need them—trying to predict every future need upfront is how projects balloon to €50k when they should've been €5k.

Yes, by using proven technologies and clean architecture from day one. The difference between a good MVP and a throwaway prototype is code quality, not feature count.

Sustainable MVPs focus on: Solid data models (your database schema is hardest to change later, so we design it properly from the start), maintainable codebase (readable code with clear structure that other developers can work with), standard frameworks (Laravel, React, Next.js—proven technologies with long-term support), and proper testing (automated tests for core features so you can add features confidently without breaking existing functionality).

What changes when you scale: Infrastructure (moving from shared hosting to dedicated servers), optimization (caching layers, database indexing, frontend performance), and team structure (multiple developers, deployment pipelines). But the core application code remains solid. We've seen MVPs grow from 10 users to 10,000 users without needing rewrites—just optimization and scaling. Quality architecture from the start means your MVP can evolve naturally as your business grows. If we're building it, we're building it properly—even if it's intentionally small in scope.

We focus on lean operations and direct collaboration. You're paying for development work, not layers of overhead. We also avoid feature bloat by focusing on what you actually need.

Our efficient approach: Streamlined process (you contact us directly, we assess fit and provide clear estimates), direct communication (developers work with you directly—faster decisions and clearer understanding), focused discovery (we ask targeted questions to understand your specific needs), and transparent pricing (we estimate based on actual work required, not package tiers).

We also build pragmatically: If an existing open-source library solves 80% of your problem, we use it instead of building from scratch. If a simpler UI gets the job done, we prioritize function over elaborate design mockups. If your feature can launch with manual admin controls instead of a complex automation system, we start simple and automate later when volume justifies it. Our goal is delivering value efficiently—building what you need with clean, maintainable code.

You migrate to a more robust solution when your needs genuinely outgrow what the mini-app provides. That's a success signal, not a failure. We can help plan and execute that migration.

Outgrowing a mini-app usually means: User volume exceeded initial design (hundreds became thousands), feature needs expanded significantly (what started as simple ordering now needs multi-location inventory), or business requirements changed (you're now in regulated industry requiring compliance features). These are good problems—they mean your business grew.

Migration options: Extend the existing application with more infrastructure (often works up to a point), rebuild specific components while keeping others (gradual modernization), or migrate to enterprise platforms when complexity justifies it (Salesforce, SAP, etc. make sense at a certain scale). We help you evaluate when to extend vs. migrate. Some mini-apps run for years without needing replacement—simple tools solving simple problems don't need enterprise architecture. But when migration is right, we'll tell you honestly and help execute it rather than trying to force-fit enterprise features into a small application inappropriately.

Yes. Once you've paid in full, you own all custom code we write for your project. We don't hold it hostage or charge licensing fees. It's yours to modify, extend, or hand to another developer.

What you own: All custom application code, database schemas, configuration files, and documentation we create specifically for your project. What you don't own: Third-party libraries and frameworks (those are open-source or commercially licensed already), and any reusable components we built that aren't specific to your business (we might use those patterns in other projects, but your specific business logic is yours).

Practical ownership: You get full source code access, Git repository with complete history (if you want it), and deploy credentials so you control where it runs. If you want to move to another developer or bring development in-house later, you can. We don't use proprietary frameworks or lock-in tactics—everything is built with standard, well-documented technologies that any competent developer can work with. Code ownership is yours; optional ongoing support and maintenance is a separate service you can choose to continue or not.