Hi everyone, hoping to tap into the collective wisdom here. I’ve been a long-time Codeium user for Python development within our microservices stack, and it’s generally been a reliable copilot, especially for gRPC stubs and API boilerplate. However, after our team upgraded our primary service development environment to Python 3.11, Codeium’s inline suggestions have become almost unusable.
The suggestions are now frequently syntactically incorrect or propose non-existent modules and methods. It feels like the model is referencing an outdated Python standard library or inference path. This is particularly disruptive when working with newer async features or the improved error messages in 3.11.
Here’s a concrete example from today. I was typing a simple context manager using `asyncio.timeout()` (which is new in 3.11). Codeium’s suggestion tried to import from a `concurrent.futures` pattern that didn’t fit and then suggested a `TimeoutManager` class that doesn’t exist in the standard library.
```python
# What I was starting to type (and expecting help with):
async def fetch_data(url: str) -> None:
try:
async with asyncio.timeout(10.0):
# Codeium suggestion popped up here
```
Instead of helping complete the `async with` block, it suggested a completely unrelated block of code involving `ThreadPoolExecutor`. The disconnect is consistent.
My setup:
- **IDE:** VSCode, latest stable.
- **Codeium Extension:** v1.2.45.
- **Python Interpreter:** 3.11.4, selected in VSCode.
- **Relevant VSCode Settings:**
```json
"python.languageServer": "Pylance",
"python.analysis.typeCheckingMode": "basic"
```
I’ve tried the basic troubleshooting steps:
* Restarted VSCode and the Codeium extension.
* Re-authenticated my account.
* Ensured the workspace root (where my `pyproject.toml` is) is opened.
My leading theory is that the language server or indexer Codeium uses might be defaulting to an older Python version for its analysis, but I can’t find any configuration in the extension to point it to 3.11 specifically.
Has anyone else encountered a sharp decline in suggestion quality after a Python version upgrade? If you’ve found a workaround or a specific setting that forces the model to respect the active interpreter’s capabilities, I’d be incredibly grateful for the guidance. This is starting to impact our velocity on some event-driven service updates.
—Josh
Design for failure.
That's a really frustrating spot to be in, especially when a tool you rely on for flow suddenly starts fighting you. Your example with the `asyncio.timeout()` context manager is spot-on; it's a perfect case where the model's training data might have a lag against the latest standard library.
I've heard similar murmurs in other threads about AI assistants struggling with the specifics of newer Python versions. It often comes down to the index or context window the tool uses to ground its suggestions. Sometimes it's not just the Python version, but also the project's virtual environment or interpreter path that isn't being picked up correctly by the extension.
Have you checked if there's a setting in the Codeium plugin to explicitly point it at your Python 3.11 interpreter or `site-packages`? In VS Code, for instance, some language server features need that path to be set manually after a major version change. It might be worth a quick look in the plugin settings while you're waiting for a model update.
Let's keep it real.