A combination of static analysis trying to reproduce the problem 1st, then trying various fix-suggestions and verifying they work and do not cause other regressions are a few of the steps that will need to be involved. Before an experienced developer can review this "very-junior dev"/AI work before pushing to the main of any commercial applications. The design partnership offer of https://www.linkedin.com/company/logicstar-ai/ stands if you have core Python for now. More languages will come once we get real-world feedback as a proof of concept.

Wondering if anyone running a Python mainly application(s) is willing to be a Design Partner for a true AI Agent that can fix a few issues but with very high accuracy and no oversight.

I am from LogicStar.ai and we are trying to get rid of the BS and show true value in real-world applications with deep program analysis, reproduction, verification etc and like everyone else sourcing fix-suggestions from LLMs.

Follow our page on https://www.linkedin.com/company/logicstar-ai/ as I plan to post updates and frank comments here on what other agents are or are NOT. Your input will drive in what direction we should focus the technology and use cases.