Have you ever watched a remote coding session pass every test while your laptop failed the same pytest command? I spent a weekend writing field notes on that split, because those two Python processes were never actually the same program. The remote workspace looked honest from the first green line, and my shell was quietly importing extra paths before any test file ran. This writeup is a debugging workflow I wish I had kept on a card, not a tour of a product or a claim about speed.
Why I even opened a free remote session
I had a flake that only showed up after I refactored a small command-line parser and its helper imports. Local pytest kept raising ModuleNotFoundError for a helper that the coding agent insisted it had just written into the tree. Was the agent inventing a file that never landed, or was I staring at the wrong interpreter again? I wanted a second machine that did not inherit a decade of shell profile habits, so I reached for a clean scratch box.
I used MonkeyCode because it currently offers free model access and a free server option, so a scratch workspace stayed cheap enough to throw away.
Disclosure: This article was prepared as part of MonkeyCode's product outreach.
