Frequently Asked Questions.

Senior engineers only. We do not outsource to junior developers or offshore teams. Every project is handled by experienced full-stack developers with 8+ years of production experience. You will know exactly who is working on your project.

Book a free 30-minute strategy call. We will discuss your project, give you an honest assessment of what it takes, and provide a fixed-price quote within 24 hours. No commitment, no pressure. If we are a good fit, we can start within a week.

Three things: (1) Fixed pricing: you know the cost upfront, no hourly billing. (2) Speed: we deliver MVPs in weeks, not months. (3) Senior engineers only: no juniors, no outsourcing. We built Qorinx because we were tired of seeing agencies overcharge, underdeliver, and waste our clients’ time.

That is what our Dedicated Dev Team service is for. Many clients start with an MVP project and then transition to a retainer for ongoing feature development, scaling, and optimization. Same engineers, same codebase knowledge, continuous progress.

We actively support that transition. We provide thorough documentation, clean code, and knowledge transfer sessions. Many of our clients eventually hire their own team and we help with the handoff. No lock-in, ever.

Unused hours roll over to the next month, up to 25% of your monthly allocation. For example, on the Growth plan (40 hours), you can carry over up to 10 unused hours. This gives you flexibility for months where you need less, and a buffer for months where you need more. Hours that exceed the rollover cap expire at the end of the month.

Yes. You can upgrade or downgrade your plan with 30 days notice. Many clients start with the Growth plan to test the working relationship, then move to Scale as they build confidence. If you need a temporary boost (like a product launch), we can arrange additional hours on a per-sprint basis without changing your base plan.

Yes, team continuity is a core part of our retainer model. You get the same senior engineers month after month. They learn your codebase, your business domain, and your preferences. This eliminates the ramp-up time that kills productivity with traditional outsourcing. If a team member needs to change for any reason, we handle the transition with a structured handoff period.

Our retainer plans have a 3-month minimum commitment. This gives both sides enough time to establish workflows, build codebase knowledge, and see real results. After the initial period, the retainer continues month-to-month and you can cancel with 30 days written notice. No long-term lock-in.

Project-based work has a fixed scope, timeline, and price. It works well for clearly defined deliverables like an MVP or a specific feature. The retainer model is for ongoing, evolving work where priorities shift month to month. You get a predictable monthly cost, dedicated engineers who know your system, and the flexibility to allocate hours across development, bug fixes, consulting, or code reviews as needed.

We work in your tools, not ours. Most clients use Slack or Microsoft Teams for daily communication, and Jira, Linear, or GitHub Projects for task tracking. We join your existing channels and workflows instead of forcing you onto a separate platform. Planning calls happen over Google Meet or Zoom at a cadence that matches your plan (monthly for Growth, weekly for Scale).

Retainer hours are flexible. You can use them for new feature development, bug fixes, performance optimization, code reviews, technical consulting, architecture planning, CI/CD improvements, security audits, or documentation. We track time transparently and include a detailed breakdown in your monthly report so you always know where hours went.

Typically within 1-2 weeks. After signing, we schedule a kickoff meeting to understand your codebase, tooling, and priorities. Week one is focused on environment setup, codebase review, and initial task planning. By week two, your dedicated engineers are shipping code. If you are transitioning from an MVP project with us, the ramp-up is even faster since the team already knows your system.

We build with React and Next.js on the frontend, Node.js, Python, or Laravel on the backend, and PostgreSQL, MySQL, or MongoDB for the database. For cross-platform mobile apps, we use Flutter to ship native iOS and Android from a single codebase. We deploy to AWS, GCP, or Vercel depending on your needs. This stack lets us move fast while producing code that scales. If your project requires a different stack, we can accommodate that too.

Yes. For the Starter and Pro tiers, we build mobile-responsive web apps that work great on any device. For the Enterprise tier, we build cross-platform mobile apps using Flutter, which compiles to native iOS and Android from a single codebase. Flutter is fast to develop, performs like a native app, and keeps costs down because we are not building two separate apps. We will help you decide the right approach during the discovery call.

We scope every MVP through a discovery workshop where we define the screens, features, integrations, and user flows. Based on that scope, we assign the project to one of our pricing tiers (Starter, Pro, or Enterprise). The price does not change after we agree on scope. If you want to add features mid-project, we discuss the impact and provide a new fixed quote for the additions before proceeding.

Every MVP project includes 30 days of post-launch support for bug fixes and minor adjustments. For larger changes and ongoing feature development, many clients transition to our Dedicated Dev Team service. Since the same engineers who built your MVP continue working on it, there is zero ramp-up time.

Absolutely. You get access to a shared project board and live staging environment from day one. We provide daily or weekly updates (your choice) and regular demo sessions where you see working features, not just slides. If something is going in the wrong direction, you catch it immediately instead of at final delivery.

Our discovery workshop is designed to challenge assumptions and refine your product scope. We will push back on features that do not serve your core value proposition and suggest alternatives that get you to market faster. We are not just writing code; we are helping you build the right thing. That said, we are engineers first. For deep product strategy or market research, we recommend working with a dedicated product consultant.

We work with OpenAI (GPT-4, GPT-4 Turbo), Anthropic (Claude), open-source models (Llama, Mistral), and specialized models for tasks like embeddings and classification. We pick the right model for each use case based on accuracy, cost, latency, and data privacy requirements. If you need to keep data on-premises, we can deploy open-source models in your own infrastructure.

Most integrations take 3-5 weeks from kickoff to production. Week 1 is assessment and scoping. Week 2 is prototyping and validating the approach. Weeks 3-4 are production implementation. Week 5 is optimization and handoff. Simpler integrations (like adding a chatbot to your website) can be done in 2-3 weeks. Complex RAG systems with large document corpuses may take 5-6 weeks.

We take accuracy seriously. For RAG systems, we implement source attribution so every AI answer links back to the original document. We build evaluation pipelines that measure accuracy against ground-truth datasets. We use prompt engineering techniques like chain-of-thought reasoning and few-shot examples to reduce hallucination rates. And we set up monitoring dashboards so you can track accuracy over time and catch regressions early.

RAG stands for Retrieval-Augmented Generation. It connects an AI model to your own data (documents, knowledge base, database) so it can answer questions based on your specific information instead of just its training data. You need RAG if you want AI that knows about your products, policies, internal processes, or any domain-specific information. Without RAG, the AI can only give generic answers.

It depends on volume and model choice. A chatbot handling 1,000 conversations per month typically costs €50-200 in API fees. A RAG system processing 10,000 queries per month runs €200-500. We optimize for cost during the integration process by choosing the right model size, implementing caching, and batching requests where possible. We provide a cost estimate during the assessment phase so there are no surprises.

Yes. AI integrations connect via API, so they work with any modern tech stack. We have integrated AI features into React, Vue, Angular, and mobile apps on the frontend, and Node.js, Python, Ruby, Java, and PHP backends. If your system can make HTTP requests, we can add AI to it. We handle all the plumbing: API wrappers, error handling, rate limiting, and fallback logic.

We start with a systematic audit: code review, database query analysis (slow query logs, missing indexes, N+1 queries), infrastructure profiling (CPU, memory, disk I/O), and load testing to find breaking points. We use tools like pganalyze, New Relic, and custom profiling scripts. By the end of week one, you get a detailed report with every issue ranked by severity and a recommended fix order.

Most fixes are deployed with zero downtime. We use database migrations, feature flags, and blue-green deployments to make changes safely. For major architectural changes (like database schema migrations on large tables), we plan maintenance windows during off-peak hours and communicate the schedule in advance. We never make changes to production without a tested rollback plan.

The Health Check audit takes 1 week. A full Rescue engagement (audit plus fixes) typically takes 3-5 weeks depending on the severity and number of issues. The Scaling tier, which includes infrastructure optimization and horizontal scaling setup, takes 4-6 weeks. We give you an accurate timeline after the initial assessment, and we break the work into phases so you see improvements before the engagement is complete.

The Health Check audit exists specifically to prevent surprises. If the audit reveals issues that are significantly more complex than initially estimated, we discuss the findings with you transparently and provide a revised fixed-price quote before proceeding with the rescue phase. You are never locked into a price based on incomplete information.

We specialize in Node.js, Python, Go, and Java backends. We also work with PHP (Laravel, Symfony) and Ruby on Rails. For databases, we handle PostgreSQL, MySQL, MongoDB, and Redis. If your stack includes something less common, reach out and we will tell you honestly whether we are the right team for the job.

Yes, monitoring is included in the Rescue and Scaling tiers. We set up application performance monitoring (APM), database query tracking, error alerting, and uptime monitoring. You get dashboards that show response times, error rates, and resource usage in real time. This means you catch performance regressions early, before they affect your users.

Yes, 100%. From day one, all source code is yours. We deliver everything via your Git repository. No lock-in, no proprietary frameworks, no hostage situations. When the project is done, you own it completely.

We follow industry best practices: code reviews on every pull request, automated testing (unit and integration), CI/CD pipelines, and comprehensive documentation. We write clean, maintainable code that your team can continue building on.

Absolutely. We are an EU-based company (Estonia) and fully GDPR compliant. We follow security best practices including encrypted communications, secure authentication, environment variable management, and regular dependency audits. We sign NDAs as standard practice.

You get daily or weekly updates (your choice), access to a shared project board, and regular live demos of work in progress. We use Slack or Teams for real-time communication. No black boxes, no vanishing acts. You see real progress from day one.

All MVP projects include 30 days of post-launch support for bug fixes and minor adjustments. After that, you can continue with our Dedicated Dev Team service for ongoing development, or your own team can take over. We provide full documentation and source code.

Absolutely. Our Backend Rescue service is specifically designed for improving existing codebases. We can also extend existing products with new features through our retainer service. We work with any modern tech stack.