AvanzadoLecci贸n 11 de 1220 min 路 pr谩ctico
Scaling AI Teams
Parte del curso de Vibe Coding: Multi-Agent Engineering
驴Quieres aprender Vibe Coding: Multi-Agent Engineering Scaling AI Teams en un entorno real?
Haz clic abajo, recibe una m谩quina Linux con Vibe Coding: Multi-Agent Engineering listo, y practica Scaling AI Teams con un tutor de IA que conoce tu c贸digo.
Empezar esta lecci贸nScaling AI TeamsLo que vas a aprender
- A large project outgrows a single agent's context and must be split into parts with clear boundaries
- A boundary defines what a part owns and the one well-defined way other parts interact with it
- Team coordination keeps many agents on the same goal without conflicting or duplicating work
- A shared source of truth holds docs and decisions outside any single conversation so context does not vanish
- Long-term development means onboarding new agents, guarding against drift, and keeping the plan current
- Coordination and shared knowledge, not raw building speed, are the real limits at scale