Question 1

What is AI-First development?

Accepted Answer

AI-First development is a methodology where autonomous AI agents are the primary code generators, test writers, and first-pass reviewers, supervised by senior engineers who design the architecture and make quality decisions. It is not 'let the AI write everything' — it is a structured system where each agent has a defined role and a human engineer validates output before it advances to the next step.

Question 2

How much faster is AI-First development compared to traditional?

Accepted Answer

An MVP that would take 12 to 24 weeks with a traditional team typically takes 3 to 8 weeks with our AI-First methodology. The acceleration comes from AI agents working in parallel across multiple stack layers, automatically generating tests alongside code, and eliminating the communication bottlenecks of large teams. Scope and requirement clarity determine the final timeline.

Question 3

What technologies do you use for development?

Accepted Answer

Primary stack: React and Next.js 16 (App Router) for frontend, Python with FastAPI and SQLAlchemy for backend, PostgreSQL as the primary database. AI layer: Claude API, OpenAI API, LangChain, LlamaIndex. Infrastructure: Vercel for frontend, Railway for backend, Docker for containers. For specific projects we can incorporate Supabase, Redis, or additional technologies based on the requirement.

Question 4

Is AI-generated code maintainable?

Accepted Answer

Yes, because we do not deliver raw AI code. Every feature goes through senior engineer review that verifies structure, naming, design patterns, and maintainability. Agents generate code against a defined spec and coding standards. The result is code with consistent test coverage, inline documentation, and architecture that other developers can understand and extend without asking us.

Question 5

Who owns the intellectual property of the code?

Accepted Answer

You do. Full IP transfer — code, architecture, documentation — is standard in every engagement at no additional cost. We retain no licenses, usage rights, or repository access post-delivery. The code is yours from the first commit.

Question 6

Can you integrate with an existing development team?

Accepted Answer

Yes. We work in flexible collaboration models: we can be the full team, a parallel team building features at speed, or an acceleration layer for an internal team that wants to incorporate AI-First development without changing their entire operation. The collaboration model is defined in the initial engagement phase.

Question 7

Do you do mobile as well, or only web?

Accepted Answer

We do web (React, Next.js), mobile (React Native), and APIs/backends (FastAPI, PostgreSQL). For applications that need both web and mobile presence, we build a shared backend with separate frontends. The AI-First methodology applies equally across all channels.

Question 8

How do you handle requirements that change during development?

Accepted Answer

We work in short 1-2 week sprints with concrete deliverables at the end of each. Requirement changes are incorporated at the start of the next sprint, not mid-sprint. This structure makes changes predictable in cost and time. Projects with highly fluid scope work better as monthly retainers than as fixed-price projects.

Question 9

What does the QA process include?

Accepted Answer

Unit tests generated alongside every feature (minimum line coverage defined by contract), integration tests at critical connection points, and E2E tests for primary user flows. Additionally, manual code review by senior engineers before each delivery, and basic security review (OWASP Top 10) as part of the standard process.

Question 10

What happens after delivery? Do you do maintenance?

Accepted Answer

Yes. We offer maintenance and continuous development retainers for delivered projects. This includes bug fixes, dependency updates, security monitoring, and new feature development. Retainers are structured as monthly hour blocks or dedicated capacity depending on expected work volume.

Agentes Autónomos. Resultado Real.

Qué Construimos

Diferencias que Importan

Multi-Agente en Paralelo

Velocidad de IA

DevSecOps Nativo

Transparencia Total

CI/CD Desde Dia 1

Arquitectura Escalable

Cómo Funciona

Discovery

Sprint Setup

Sprint AI-First

Security Gate

Entrega + Metricas

Stack Tecnológico

Frontend

Mobile

Backend

Infraestructura

AI / ML

Bases de Datos

Listo para construir?