Garage was born a year ago with a clear purpose: to create an environment for sharing knowledge, experimenting with new technologies, and transforming ideas into real projects. Twelve months later, the initiative has established itself as the leading space for technical collaboration at ALTIA.
During this first year, Garage has channeled more than a hundred technical projects , with more than a thousand code contributions and dozens of innovation proposals shared by the teams.
Beyond the numbers, the most relevant aspect is the dynamic generated: 96% of the projects have had real activity, reflecting an involved community that builds, tests and improves continuously.
Garage has fostered a more open and collaborative way of working, where ideas are not only proposed, but evolve through debate and teamwork until they become tangible results.
Artificial Intelligence Training and Adoption
One of the year's key focuses has been training and technology adoption, especially in the field of artificial intelligence. Through various training initiatives centered on AI-assisted development, dozens of professionals have strengthened their skills in tools such as GitHub Copilot and other advanced assistants.
In addition, an internal program focused on the use of AI assistants has been established.
This commitment to training has accelerated the integration of emerging technologies into the daily work of teams and transferred them to real-world contexts.
Technological trends already underway
In its first year, Garage has driven the strong adoption of strategic technologies such as generative AI and RAG architectures, among others.
Solutions have also been developed to optimize and control cloud environments, reinforcing automation and control capabilities on platforms such as Azure.
Innovation with real impact
Among the initiatives developed, rag-kb-v2 stands out, a platform based on RAG architecture oriented towards the analysis and migration of legacy applications.
This project addresses a recurring problem: the difficulty of understanding legacy applications without documentation. Using semantic search techniques and automatic generation of technical documentation, the tool allows for the analysis of legacy source code and the preparation of use cases that help assess the effort required to migrate to low-code platforms like OutSystems.
This is a clear example of how technical innovation can be directly aligned with real business needs.
Alongside this initiative, Garage has promoted other solutions related to intelligent incident management with AI or the automation of business data flows, among others.
Garage has shown that when there is a structured space to share, experiment and collaborate, innovation ceases to be an abstract concept and becomes tangible results.
The initiative is entering its second year with the aim of continuing to connect talent and technology to boost innovation and add value to projects.
