AI That Never Quits: Building Scalable & Fault-Tolerant Agents (Day 13/60)

Описание: Scaling AI isn’t just about adding more agents—it’s about ensuring they don't collapse under their own complexity. In Day 13 of Study Buddy with Notebook LM, we dive into the engineering behind Scalability and Fault Tolerance.

Most AI prototypes work in a vacuum but break in production. We explore how to build "Unbreakable Agents" using advanced state management and checkpointing. You'll learn how LangGraph uses directed graphs to save progress at every node, allowing agents to resume work after a failure. We also compare how Swarm architectures scale modularly without overloading a central controller, ensuring your digital workforce stays online 24/7.

What you’ll master in this session:

Fault Tolerance: Why "Stateless" agents are a liability in real-world work.

Checkpointing: How to give your AI a "Save Game" feature for long-running tasks.

Modular Scaling: Preventing "Central Controller Overload" in massive swarms.

Error Recovery: Designing cycles that catch, reflect, and retry automatically.

Reliable AI scales; crashes don't. Learn how to build systems that persist through the noise. #agenticai #aiarchitecture #faulttolerance #scalableai #statemanagement #studybuddy #notebooklm #multiagentsystems #langgraph #softwareengineering #reliabilityengineering #automation #ProductionAI #techtutorial #cloudcomputing