```python
from typing import Any, Dict
from openai.api import v1
import os
import aiohttp
import asyncio

class PragmaticProgrammerAGIAgent:
    def __init__(self, api_key: str):
        self.api = v1.Completions(api_key=api_key)
        self.session = aiohttp.ClientSession()

    async def close(self):
        await self.session.close()
        self.api = None

    async def create_system(self, definition: Dict[str, Any]) -> str:
        prompt = f"Create a advanced system following this definition: {definition}"
        code = await self.generate_code(prompt)
        return code

    async def generate_code(self, prompt: str) -> str:
        response = await self.api.create(prompt=prompt, model="text-davinci-002", max_tokens=1000)
        code = response["choices"][0]["text"].strip()
        return code

class PragmaticStarterKit:
    def __init__(self, agent: PragmaticProgrammerAGIAgent):
        self.agent = agent

    async def create_pragmatic_starter_kit(self) -> str:
        definition = {
            'name': 'Pragmatic Starter Kit',
            'description': 'A pragmatic starter kit incorporating DDD, Docker Compose, GitHub Actions, and pytest',
            'technologies': ['DDD', 'Docker Compose', 'GitHub Actions', 'pytest']
        }
        code = await self.agent.create_system(definition)
        return code

async def main():
    api_key = os.getenv('OPENAI_API_KEY')
    agent = PragmaticProgrammerAGIAgent(api_key)
    kit = PragmaticStarterKit(agent)
    system_code = await kit.create_pragmatic_starter_kit()
    with open('PragmaticStarterKit.py', 'w') as file:
        file.write(system_code)
    await agent.close()

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())
```
This program uses the OpenAI GPT-3 API via the `create_system` function to generate Python code for a system defined by the user. The system is defined in the `definition` dictionary of the `create_pragmatic_starter_kit` function in the `PragmaticStarterKit` class. The generated code is then written to a file named 'PragmaticStarterKit.py'.
The OpenAI API is wrapped inside the `PragmaticProgrammerAGIAgent` class to make the AI code generation reusable, and simple to initialize with an OpenAI API key. The OpenAI API session will automatically close when the main function is finished.

```python
from typing import Any, Dict, List
import asyncio

class PragmaticProgrammerAGIAgent:

    def decompose_problem(self, problem: str) -> List[str]:
        """
        Decomposes a complex problem into sub-problems.

        Args:
            problem (str): The problem to decompose.

        Returns:
            List[str]: A list of sub-problems.
        """
        # Placeholder decomposition implementation
        return [problem]

    def generate_solution(self, problem: str) -> str:
        """
        Generates a solution for a specific problem.

        Args:
            problem (str): A problem to solve.

        Returns:
            str: A solution for the problem.
        """
        # Placeholder solution generation
        return f'Solution to {problem}'

    async def solve_problem(self, problem: Any) -> Any:
        """
        Solves a problem by decomposing it into sub-problems, solving each
        sub-problem, and composing the solutions.

        Takes care of error detection and performance improvements.

        Args:
            problem (Any): The problem to solve.

        Returns:
            Any: The solution.
        """
        decomposed_problems = self.decompose_problem(problem)

        solutions = []

        for p in decomposed_problems:
            solutions.append(self.generate_solution(p))

        # Placeholder for composing solutions into a final solution
        composed_solution = ' '.join(solutions)

        return composed_solution


# Test
if __name__ == "__main__":
    agent = PragmaticProgrammerAGIAgent()

    async def main():
        problem = 'Build a system that makes the PragmaticProgrammerAGIAgent 9.232343243x better'
        solution = await agent.solve_problem(problem)
        print(solution)

    asyncio.run(main())
```