Building AI Agents: From vibe coding to multi-agent systems with Gemini

Key Concepts:

• Agent: An entity that can perform tasks or actions on behalf of a user.
• Multi-agent systems: Systems where multiple agents interact and coordinate to achieve a common goal.
• Vibe coding: Using AI tools (like Gemini) to assist in debugging and code understanding.
• Automation: Using AI to automate processes and tasks.

1. What is an Agent?

• Definition: An agent is described as something that can "do things for you."
• McDonald's Analogy: Thu Ya Kyaw uses the example of ordering at McDonald's to explain the concept of an agent. The customer interacts with the staff (the agent), who handle the complexities of food preparation and presentation. The customer then decides whether to accept the final product.
• Key Functionality: Agents handle the representation and execution of tasks, providing the user with the "best option" based on their needs. The user retains the final decision-making power.

2. The "Aha!" Moment in Building Agents

• Integration of AI: The key realization comes when AI is integrated into an existing process.
• Automation and Efficiency: The integration of AI leads to automation, resulting in faster task completion and increased efficiency.

3. Current Focus: Multi-Agent Systems

• Multi-Agent Interaction: Thu Ya Kyaw is currently focused on building multi-agent systems where agents communicate and coordinate with each other.
• Replacing Traditional Processes: Multi-agent systems are envisioned as a replacement for traditional task flow coordination, with agents autonomously handling tasks.

4. Vibe Coding with AI

• Debugging Assistance: Thu Ya Kyaw describes using Gemini to assist in debugging a complex issue involving 50 files.
• Process: The entire codebase is uploaded to Gemini with a description of the problem. The AI's response is then used to guide a line-by-line code review.
• Human Oversight: While AI provides assistance, human oversight remains crucial in the vibe coding process.

5. Human Oversight in AI-Assisted Tasks

• Theme of Human Oversight: The conversation highlights the importance of human oversight even when using AI tools for tasks like coding.
• Continued Importance of Human Input: Despite the capabilities of AI, human judgment and intervention are still necessary.

6. Notable Quotes

• Thu Ya Kyaw: "I feel like agent is someone who can do things for you."
• Thu Ya Kyaw: "...now I can automate it. And then I can finish things faster..."
• Thu Ya Kyaw: "I just upload the entire thing to Gemini and say, hey, I'm struggling to solve this. What do you think is the problem?"

7. Synthesis/Conclusion

The discussion provides insights into the nature of AI agents, their application in multi-agent systems, and their use in assisting with complex tasks like debugging. The key takeaways are the importance of AI in automating processes, the potential of multi-agent systems to streamline workflows, and the continued need for human oversight even when leveraging AI tools. The "vibe coding" example illustrates a practical application of AI in software development, highlighting the collaborative relationship between humans and AI in modern workflows.