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Services

Software engineering
powered by AI

Every service follows our hybrid model: a senior human engineer leads, the AI agents execute, and the human validates every delivery.

01

Custom development

Web applications, APIs and backend systems designed for your use case. The senior engineer defines the hexagonal architecture, patterns and standards. The AI agents implement the code following those guidelines. The engineer reviews, iterates and guarantees quality.

  • Web applications with modern frameworks (Symfony, Laravel, React, Vue)
  • RESTful and GraphQL APIs with OpenAPI documentation
  • Internal management systems and custom ERPs
  • Legacy migrations and refactoring with massive AI execution

// The human defines the architecture

src/

Domain/ ← Pure business logic

Application/ ← Use cases

Infrastructure/ ← Adapters

// Agents implement under direction

agent → código + tests + docs

// The human reviews each PR

human → review + merge

Week 1-2

Discovery & architecture (human)

Week 2-4

MVP implemented (AI + human review)

Week 4-8

Iteration with real users

Ongoing

Evolution and scale

02

Digital product

Building your own product? Our hybrid model is ideal: the senior engineer thinks product and defines the technical strategy. The AI agents accelerate implementation. The result: a functional MVP in weeks, not months.

  • Technical MVP definition: the human decides what to build first
  • Accelerated implementation: agents execute, the human guides
  • Fast iteration: short feedback cycles with real users
  • Progressive scaling: architecture ready to grow
03

Technical consulting

Sometimes you need senior judgment without a full team. Code audits, architecture definition, stack selection and mentoring. We also help integrate AI into your own development workflows.

  • Existing code and architecture audits
  • Architecture design for new projects
  • Integration of AI agents in your development team
  • Technical training: TDD, DDD, clean architecture, AI-assisted dev

Architecture

Testing

AI integration

Security

Code review

Stack selection

deploy.yml

name: Production Deploy

on: [push: main]

jobs:

build: npm run build

test: npm run test ✓ 47 passed

deploy: ✓ success

04

Cloud infrastructure

Infrastructure as code, CI/CD pipelines, monitoring and scaling. The engineer designs the cloud architecture, the agents configure and deploy. Everything reproducible and versioned.

  • Infrastructure as Code (Terraform, Ansible)
  • CI/CD with GitHub Actions, GitLab CI
  • Containers and orchestration (Docker, Kubernetes)
  • Monitoring and alerts (Prometheus, Grafana)

Have a project?

Tell us about your case and we'll explain how our hybrid model can help.

Let's talk