Three rescue services from working Python developers. Send the brief, get a quote in 15 minutes, pay 50% to start and 50% after the code runs.
Students try AI tools (ChatGPT, Claude, Copilot) on their Python assignments and find the code is broken, fails the autograder, or gets flagged by their school similarity tools.
The honest fix is to do the assignment properly, the way it was meant to be done from the start.
This page is for students who learned that lesson the hard way and need a working alternative fast.
Each rescue is delivered by a working Python developer, not AI tools.
Your assignment, written from scratch by a human Python developer.
If AI code is not working for you (broken, flagged, or just not your work), the answer is a fresh solution written by a human developer who reads your original brief and writes the assignment the way it was meant to be done. We do not edit AI output. We write the assignment from scratch.
What you get back
Best for: Any Python homework where you started with AI, discarded it, and need a clean human-written version before your deadline.
Want to understand how MOSS, JPlag, and Turnitin actually work before you order? Read the Originality Guide first →
Your code passes locally. The autograder fails it. We close the gap.
Gradescope, GitHub Classroom, CodePost, AutoGrader, HackerRank. The hidden tests check edge cases your assignment never named: empty inputs, unicode, off-by-one indexing, output format quirks. A Python developer reads your code and the autograder's failing output, identifies the gap, and fixes the specific test cases that broke the submission.
What you get back
Best for: Gradescope timeouts, hidden test mismatches, output format errors, off-by-one bugs, edge cases on CS50, CSE 163, DATA 100, and any course using automated grading.
Trying to self-debug first? The Autograder Survival Guide covers the 15 edge cases that break most submissions. Read the Autograder Survival Guide →
The setup hell that text help cannot fix. Solved in one Zoom session.
PyTorch CUDA mismatches. Docker containers that build but do not start. Django migrations stuck in loops. Virtualenv conflicts. Apple Silicon wheel errors. You share your screen, the developer guides you through the fix command by command, you keep keyboard and mouse control the entire time. Zoom only, not AnyDesk or any remote-control tool that takes over your machine.
What you get back
Best for: Environment problems where the Python code is fine but the setup refuses to cooperate. Common on ML coursework, Docker-based projects, and Apple Silicon transitions.
For install-from-scratch reference and the standard config we recommend, see the Python Dev Setup guide. Read the Python Dev Setup guide →
Services 01 and 02 follow the standard 3-tier pricing. Service 03 is billed by session length.
Urgent jobs under 24 hours add a flat 20% uplift.
Full pricing details, payment methods, and the 50/50 split walkthrough on the Pricing page.
Four steps from sending the brief to receiving the rescue.
Upload the original assignment PDF, the failing autograder output, or a description of the setup error. Add your deadline.
Fixed price, named developer, delivery time.
The developer starts immediately. Pay the remaining 50% only after the work is delivered.
Original code (Service 01), fixed code with edge-case notes (Service 02), or a Zoom recording you can rewatch (Service 03).
The questions students ask most, answered straight.
Send the brief, the autograder output, or a description of the setup error. A quote comes back in 15 minutes with a named developer and a delivery time.