What part of the Claude Code CLI is actually reliable for chaining together complex Python backend automation tasks without it hallucinating the directory structure every five minutes? I have been a backend dev for nearly a decade and mostly live in FastAPI and Celery but recently I started using the new Claude Code terminal tool to try and speed up this massive migration project for a logistics firm here in Seattle. My timeline is super tight—I have to have these automation scripts finished by next Thursday—and I thought the agentic capabilities would save me hours of boilerplate but it is honestly driving me crazy right now.

Here is the thing. It keeps getting tripped up on my directory structure when I ask it to refactor multiple modules at once. Like, it will correctly identify a bottleneck in my database layer but then it tries to write a fix that references a path that doesnt exist or it misses a dependency in my requirements.txt entirely. I tried using the research command to let it map out the project first but it still feels like it is guess-working half the time. Does the edit command work better for targeted Python changes or should I be leaning more into the MCP tools for this kind of stuff?

Also I am burning through my API budget way faster than expected because it keeps looping on the same error when it tries to run my test suite. It will fix a bug, run pytest, see a failure, and then revert the fix... it is maddening. Is there a specific way to prompt it or a specific flag I should be using to make it more aware of a Python virtualenv? I keep having to manually tell it to use the venv in the root folder and it forgets two minutes later. I really need to know if there are specific patterns or commands that actually handle complex logic chains well or if I am just expecting too much from the current beta version...