Build a Multi-Agent DSA Solver
Description:
In the grand finale of this crash course, we build a complex Multi-Agent System: The DSA Problem Solver. We coordinate three specialized agents (Solver, Reviewer, and Editor) using a Round Robin Team. Learn about termination conditions, human-in-the-loop feedback, and how to use the AutoGen Console for beautiful UI debugging.
What we build:
DSA Solver: Writes the initial Python code.
Code Reviewer: Analyzes time/space complexity.
Code Editor: Refines the code based on feedback.
Chapters:
0:00 Final Project Overview: DSA Solver Team
2:15 Defining Specialized Agent Person…
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Chapters (8)
Final Project Overview: DSA Solver Team
2:15
Defining Specialized Agent Personas
4:30
Round Robin Group Chat Explained
6:15
Human-in-the-Loop: Adding UserProxy
8:45
Setting Termination Conditions (Text Mention)
11:00
Debugging with the AutoGen Console UI
14:30
Live Demo: Solving LeetCode Problems
17:00
Course Wrap-up & Next Steps
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