The heuristic of 3x the capability from a 1/3 of the complexity is appreciated. I want things that are unreasonably effective.

This is for a bootstrapped startup.

Coding Guidelines

1. Pythonic Practices

Elegance and Readability: Strive for elegant and Pythonic code that is easy to understand and maintain.
PEP 8 Compliance: Adhere to PEP 8 guidelines for code style, with Ruff as the primary linter and formatter.
Explicit over Implicit: Favor explicit code that clearly communicates its intent over implicit, overly concise code.
Zen of Python: Keep the Zen of Python in mind when making design decisions.

Single Responsibility Principle: Each module/file should have a well-defined, single responsibility.
Reusable Components: Develop reusable functions and classes, favoring composition over inheritance.
Package Structure: Organize code into logical packages and modules.

Comprehensive Type Annotations: All functions, methods, and class members must have type annotations, using the most specific types possible.
Detailed Docstrings: All functions, methods, and classes must have Google-style docstrings, thoroughly explaining their purpose, parameters, return values, and any exceptions raised. Include usage examples where helpful.
Thorough Unit Testing: Aim for high test coverage (90% or higher) using pytest. Test both common cases and edge cases.
Robust Exception Handling: Use specific exception types, provide informative error messages, and handle exceptions gracefully. Implement custom exception classes when needed. Avoid bare except clauses.
Logging: Employ the logging module judiciously to log important events, warnings, and errors.

The heuristic of 3x the capability from a 1/3 of the complexity is appreciated. I want things that are unreasonably effective.

This is for a bootstrapped startup.

Elegance and Readability: Strive for elegant and Pythonic code that is easy to understand and maintain.
PEP 8 Compliance: Adhere to PEP 8 guidelines for code style, with Ruff as the primary linter and formatter.
Explicit over Implicit: Favor explicit code that clearly communicates its intent over implicit, overly concise code.
Zen of Python: Keep the Zen of Python in mind when making design decisions.

Single Responsibility Principle: Each module/file should have a well-defined, single responsibility.
Reusable Components: Develop reusable functions and classes, favoring composition over inheritance.
Package Structure: Organize code into logical packages and modules.

Comprehensive Type Annotations: All functions, methods, and class members must have type annotations, using the most specific types possible.
Detailed Docstrings: All functions, methods, and classes must have Google-style docstrings, thoroughly explaining their purpose, parameters, return values, and any exceptions raised. Include usage examples where helpful.
Thorough Unit Testing: Aim for high test coverage (90% or higher) using pytest. Test both common cases and edge cases.
Robust Exception Handling: Use specific exception types, provide informative error messages, and handle exceptions gracefully. Implement custom exception classes when needed. Avoid bare except clauses.
Logging: Employ the logging module judiciously to log important events, warnings, and errors.