A new model for
software development
Teknia is born from a simple premise: the best software engineers can multiply their impact if they have the right tools. That tool, today, is artificial intelligence.
Our philosophy
The software industry has a problem: scaling teams is expensive, slow and doesn't always improve quality. Hiring more developers isn't the answer to everything. The answer is making good engineers more productive.
At Teknia, the minimum unit of work is a senior human engineer and an AI agent. The human is the one who studies each project, understands the domain, defines the architecture, chooses the stack, establishes design patterns and code conventions. The decisions that matter are made by a person with judgment.
We accelerate routine implementation with AI agents that work under the direct supervision of the engineer. They generate predictable code, write tests, documentation and execute massive refactors — the most repetitive tasks that are easiest to supervise.
And then comes the most important part: the human reviews everything. Iterates with the agents, requests changes, refines the result. Nothing reaches production without a senior engineer having validated it.
The human decides, AI executes
Architecture, design and business decisions are always human. AI agents are powerful tools, not substitutes for judgment.
Speed without sacrificing quality
AI agents implement at machine speed. But every line goes through human review. The result is fast and robust code.
Total transparency
Full access to repositories, commits, pull requests and metrics. You can see exactly what the human wrote and what the agents implemented.
Continuous evolution
The agents constantly improve. But our commitment remains the same: senior human engineer in command, measurable results.
How the hybrid model works
An iterative cycle where human judgment guides the speed of AI execution.
Study & analysis
The senior engineer studies the project: domain, requirements, technical and business constraints. Talks to the client, asks questions, goes deep. This step is 100% human.
Architecture & specification
Defines the software architecture, selects the technology stack, establishes design patterns, code conventions and project structure. Prepares detailed instructions.
AI-assisted implementation
The AI agents collaborate in the implementation of the code, primarily handling low-complexity tasks that would take much longer if the developer were human: tests, documentation, migrations, massive refactors.
Review & iteration
The engineer reviews each pull request, identifies improvements, requests changes and refines the code alongside the agents. Multiple cycles until reaching the required standard.
Validated delivery
Only when the senior engineer gives approval is the code integrated and deployed. Tests passed, clean code, updated documentation. No exceptions.
Technologies we master
We don't choose by trend. We choose by experience, maturity and fit with each project.
Backend
- PHP (Symfony, Laravel)
- Node.js (NestJS, Express)
- Python (FastAPI, Django)
- Go
Frontend
- React / Next.js
- Vue.js / Nuxt
- TypeScript
- TailwindCSS
Data
- PostgreSQL / MariaDB
- MongoDB / Redis
- Elasticsearch
- RabbitMQ / Kafka
DevOps
- Docker / Kubernetes
- Terraform / Ansible
- GitHub Actions
- AWS / GCP
Want to know more?
We'd be happy to explain how our model works and how it can be applied to your project.
Contact us