While CrewAI is great for tasks, Microsoft Autogen is the king of conversational agents that can "Talk and Code" their way to a solution. In this lesson, we learn how to architect an Autogen swarm where agents iterate on each other's work autonomously.

🏗️ The Autogen Conversation Logic

1. The User Proxy: Acts as the bridge between you and the swarm.
2. The Assistant Agent: The primary worker (e.g., The Coder).
3. The Critic Agent: Reviews the output and provides feedback loops until the goal is met.

import autogen

config_list = [{"model": "gpt-4", "api_key": "..."}]

assistant = autogen.AssistantAgent("assistant", llm_config={"config_list": config_list})
user_proxy = autogen.UserProxyAgent("user_proxy", code_execution_config={"work_dir": "coding"})

user_proxy.initiate_chat(assistant, message="Write a Python script to scrape 10 leads from LinkedIn.")

Autogen agents can execute the code they write. This is powerful but dangerous. A professional architect always runs Autogen in a Docker Container to ensure the agents cannot accidentally delete files on the host machine.

1. Setup: Create an Assistant and a Critic agent.
2. Task: Ask them to "Write a viral headline."
3. Loop: Watch the Critic reject the first 3 headlines and force the Assistant to improve the "Emotional Hook."
4. Verify: Note how the final output is 10x better than the first attempt.

🇵🇰 Pakistan Application: The Upwork Proposal Bot

Build an Autogen system that writes Upwork proposals for Pakistani freelancers:

Agent Setup:

• User Proxy: Feeds the job description
• Assistant: Writes the initial proposal (mentioning PKR pricing, Karachi timezone, relevant skills)
• Critic: Reviews the proposal and checks for: (1) Grammar errors (2) Missing keywords from the job post (3) Price competitiveness

The Loop:

1. Assistant writes proposal → Critic reviews → "Your opening line is too generic. Add a specific technical insight about the client's tech stack."
2. Assistant rewrites → Critic approves → "This is ready to submit."

Why this matters for Pakistani freelancers: On Upwork, 90% of proposals are generic copy-paste. An Autogen swarm that iterates 3-4 times produces proposals that read like they were hand-crafted. Pakistani freelancers using this approach report 3x higher response rates.

📺 Recommended Videos & Resources

• Microsoft AutoGen Documentation — Official guide to conversational agents and code execution

  • Type: Documentation
  • Link description: Visit microsoft.github.io/autogen for examples

• AutoGen Code Execution & Agents — GitHub repo with working examples

  • Type: Code Repository
  • Link description: Search GitHub for "microsoft/autogen" examples folder

• Building AutoGen Swarms — Real-world multi-agent code generation systems

  • Type: YouTube
  • Link description: Search YouTube for "AutoGen tutorial 2025" or "agent code execution"

• Docker Safety for Agent Code Execution — How to sandbox agent-generated code safely

  • Type: Documentation
  • Link description: Visit docker.com docs for containerization

• Feedback Loops in Autonomous Systems — How agents learn from test failures and iterate

  • Type: YouTube
  • Link description: Search YouTube for "agent feedback loops 2025"

🎯 Mini-Challenge

Build a Self-Healing Chatbot (5 minutes)

Your mission: Create a tiny AutoGen-like system with 2 agents:

1. Assistant Agent — Writes a Python function to solve a problem (e.g., "Reverse a string")
2. Critic Agent — Tests the function with 3 test cases and reports pass/fail

Code it as pseudo-Python or use two AI chat windows:

• Assistant writes code
• Critic runs the code, finds bugs
• If bug: Critic sends error message back to Assistant to fix
• If pass: Critic approves

Output: Print the final working code.

Hint: Pakistani developers love this because it removes manual testing overhead.

🖼️ Visual Reference

📊 AutoGen Conversational Loop

┌─────────────────────────────────────┐
│ USER PROXY AGENT (You)              │
│ "Write code to scrape 10 restaurants"
└────────────┬────────────────────────┘
             │
             ↓
    ┌────────────────┐
    │ ASSISTANT      │
    │ AGENT          │
    │ (The Coder)    │
    └────┬───────────┘
         │
         │ "Here's my Python code..."
         ↓
    ┌────────────────┐
    │ CRITIC AGENT   │
    │ (Test & Review)│
    └────┬───────────┘
         │
         │ "Tests passed ✓" OR
         │ "ERROR: NameError on line 5"
         ↓
    ┌────────────────┐
    │ Loop Decision  │
    │ Pass? → Stop   │
    │ Fail? → Retry  │
    └────┬───────────┘
         │
         └──→ Back to ASSISTANT AGENT
              (Max 5 iterations)

Design an Autogen system that: (1) Writes a Python function (2) Runs a test on it (3) If the test fails, the agent must read the error and fix the code autonomously. Use Gemini 2.5 Flash as the model (cheaper than GPT-4 for Pakistani developers).