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I will fix, refactor and unit test your ai generated python code
Hernandez R
About this gig
Tired of AI-generated Python code that breaks in production?
Tools like Cursor, Claude, or ChatGPT build fast MVPs, but "vibe-coding" leaves technical debt, hidden bugs, and zero automated tests. I turn messy AI scripts into clean, robust, and fully tested production-ready code.
What I will do:
- Debug & Patch: Fix runtime exceptions, logic errors, and edge cases.
- Refactor & Restructure: Reorganize code into modular, PEP 8-compliant architecture.
- Automated Testing: Write reliable pytest unit tests for core logic.
- Deterministic Analysis: Apply strict linters (ruff, black) for zero code smells.
- Multi-Pass Review: Systematic AI review + manual verification for hallucinated logic.
- Documentation: Clear setup guide and updated README.md.
What I do NOT do:
- Build new features from scratch (cleanup/bug-fix service only).
- Security pentesting or support non-Python languages.
Why me? Engineering-first approach: deterministic tools, modular design, clean Git repos, and passing tests before delivery.
Send a message with your repo before ordering to select the right package!
Get to know Hernandez R
Hernandez R
IT solutions for all!
- FromVenezuela
- Member sinceJan 2022
Languages
Spanish, English
Systems engineer graduate. Passionate about technology, detail-oriented, multitasking, with experience in administrative areas and a philosophy based on "nonconformity".
FAQ
1. What if my code cannot be fixed or the scope is larger than expected?
I will inspect your repository and notify you before starting work. If the scope exceeds the package limits, I will offer either a revised custom quote or a full cancellation/refund before touching any code. No surprise charges.
2. How do you guarantee the quality of the fixes?
I combine a multi-pass review workflow with deterministic tools (pytest for execution, ruff for code style) and manual verification. You will receive a clean repository with all unit tests passing in a clean local environment using the code and dependencies you provided. External services or private
3. Do you support languages other than Python?
No. This service is strictly specialized in Python (scripts, CLI tools, web backends, data processing, and API integrations) to guarantee high quality and fast turnaround times.
4. Do you offer security pentesting?
No. While I follow Python best practices and static analysis guidelines, dedicated security auditing or penetration testing is not included.
5. What counts as a revision?
A revision covers adjustments to the delivered work (e.g., fixing an issue in a test I wrote, correcting a formatting bug, or tuning a refactored function). New feature requests, modifications to additional files outside the agreed scope, or changes to requirements after delivery are considered new
6. What if my code relies on external APIs, databases, or private credentials?
Unit tests and refactoring are performed on the codebase provided. If your application depends on third-party APIs or private databases that I cannot access locally, I will write mock implementations (using pytest-mock or standard stubs) or clearly segregate integration tests so you can run them wit
