icontract-hypothesis VS AlphaCodium

https://github.com/mristin/icontract-hypothesis

Nagini and deal-solver attempt to Formally Verify Python code with or without unit tests: https://news.ycombinator.com/item?id=39139198

Additional research:

"Fuzz target generation using LLMs" (2023)

https://icontract.readthedocs.io/en/latest/usage.html#invari...

For unit testing, there's icontract-hypothesis; with the Preconditions and Postconditions delineated by e.g. decorators, it's possible to generate many of the fuzz tests from the additional Design by Contract structure of the source.

From https://github.com/mristin/icontract-hypothesis :

> icontract-hypothesis combines design-by-contract with automatic testing.

> It is an integration between icontract library for design-by-contract and Hypothesis library for property-based testing.

> The result is a powerful combination that allows you to automatically test your code. Instead of writing manually the Hypothesis search strategies for a function, icontract-hypothesis infers them based on the function’s [sic] precondition

Just in case you are looking for an alternative approach: if you write contracts in your code, you might also consider crosshair [1] or icontract-hypothesis [2]. If your function/method does not need any pre-conditions then the the type annotations can be directly used.

(I'm one of the authors of icontract-hypothesis.)

[1] https://github.com/pschanely/CrossHair

[2] https://github.com/mristin/icontract-hypothesis

Other AI tools like Copilot and Codium.ai integrate well with popular editors and IDEs, such as VSCode, enhancing your skills and productivity.

Thanks for sharing this. By far the best tool I've seen in the market centered around Code Integrity is CodiumAI (https://www.codium.ai/). They generate unit test based on entire code repos. Also integrates into SDLC through a PR Agent on GitHub or GitLab. My whole team uses them.