The Goal

In our latest project, DSRP_Tarea_Final_AgenteDesarrollador, we aimed to create a robust full-stack developer agent. The core challenge was managing large context windows efficiently while maintaining agent performance, essentially balancing the 'memory' of the AI with the practical constraints of a real-time developer assistant.

The Approach

To build an effective agent, we

Improving Transparency in AI Pipelines

When building complex AI systems, the "black box" nature of decision-making can be a significant hurdle for developers and stakeholders alike. In our project, agente-mentor, we recently focused on improving the interpretability of our mentorship engine by documenting the data flow and analytical outcomes through structured visualization.

The Challenge