Thought on Context Prompt Projects

Generate a Python API based off a Database Schema

Use flask and fastapi

1. Use imdb-sqlite schema and database as reference
2. Optionally create a maintained fork 1. Add improvements and modern pyproject.toml. Use uv, ruff, and possibly add test 1. Register with Pypi
3. Find a flask/fastapi/pydantic code base to add as context /examples/
4. Create context prompts
5. Optionally create agents/subagents, or use CI/CD
6. linting
7. testing
8. publishing release
9. Optionally, interface with another open source datasets
10. Academy Awards (Oscars), Golden Globes. Answer questions: 1. Actor collaboration networks (who worked with whom, how often)
    1. From Award winning actors, success rates of Co-star Network
    2. What movie cast had the most award winners, who and what count 1. Award predictions based on IMDB collaboration networks
11. Political Donation datasets questions: 1. Do actors political party donations change after working on other casts 1. "Which Oscar-winning actors donated to similar candidates and when?" 1. Do politically similar actors work together more often 1. Do actors with certain political donation patterns have higher/lower award win rates?

Other Ideas

1. Performance testing
2. MacOS 26: Swift Containers vs Docker vs Podman
3. Benchmarking CPU vs GPU test 1. OCR 1. Speach ML