Multi-Agent Systems

One AI agent is smart. A Team of AI Agents is unstoppable. AutoGen is a framework that allows different AI agents to talk to each other to solve complex problems.

1. The "Panel of Experts" Pattern

Instead of asking one AI to write and test code, create three agents:

• Developer Agent: Writes the C# code.
• Tester Agent: Writes unit tests and finds bugs.
• Architect Agent: Reviews the code for best practices and security.

The agents chat with each other until the Architect is satisfied and the code is 'Approved'.

2. Human-in-the-Loop Agents

Agents don't have to be 100% autonomous. You can have an agent that does 90% of the work and then pauses to ask: "I am about to delete this database record, do you approve?" This is the safest way to deploy agentic workflows in enterprise environments.

4. Interview Mastery

Q: "What is an 'Agentic Loop'?"

Architect Answer: "An agentic loop is where the AI evaluates its own progress towards a goal. If it tries a tool and it fails, it doesn't give up. It 'Reflects' on why it failed, updates its plan, and tries a different tool. This is a fundamental shift from 'Chain' (Step A -> Step B) to 'Loop' (Try -> Evaluate -> Repeat) which makes agents far more capable at open-ended tasks."