TL;DR: Go with CodeGPT CodeGPT Plus if using a remote API or TabbyML Tabby Self-hosted AI Code Assistant for a dedicated local server. You should be careful when running the 33B version on a tight deadline. Memory spikes can crash VS Code if the extension isnt optimized for large context windows. I would suggest checking out CodeGPT CodeGPT Plus because it handles custom OpenAI-compatible endpoints much better than the standard DeepSeek plugin. It gives you more control over the timeout settings and temperature, which is huge for getting snappy Python autocomplete results without the model hallucinating syntax errors. If you have high-end hardware like an NVIDIA GeForce RTX 4090 24GB GDDR6X, you might want to consider TabbyML Tabby Self-hosted AI Code Assistant. It runs as its own service, so it wont drag down your IDE performance as much as the internal JS-based extensions might. Just make sure to configure the model path correctly or it wont utilize the 33B parameters properly... it can be tricky to get the context window right.

Honestly, Continue Dev Continue Open Source AI Code Assistant is usually the move for DeepSeek Coder. The official plugin is a decent option, but it lacks the configuration depth you need for the 33B model's context handling. Some say the official one is faster, but thats usually just because of their default API settings. In my experience, Continue works better because it lets you swap between local providers and the API. Since your deadline is Friday, sticking to the API is probably smarter for speed. Running 33B locally requires serious VRAM, and the autocomplete latency can be frustrating if your hardware isnt top-tier. Continue also allows for better indexing of your local Python files, which helps with more accurate suggestions. It basically offers the most direct control over how the model interacts with your workspace.