Dissatisfaction with Codeium: A Review of Its Limitations as a Coding Assistant

The text expresses dissatisfaction with the Codeium neural network used as a coding assistant in Visual Studio 2022. The author highlights several issues, including the tool's limited contextual understanding, poor code generation quality, and delays in performance. Codeium struggles with suggestions for invoking existing methods and often generates outdated syntax. Although it can effectively autocomplete comments, the author finds that the drawbacks outweigh this benefit. Concerns are raised about the training method for the neural network and its reliance on potentially flawed code. Overall, the author concludes that the current performance of Codeium is unimpressive and does not justify its use.

Bullet Points:

• Codeium lacks context awareness and generates random suggestions.
• It performs better with comments but requires more than the author typically uses.
• Generated code often needs editing and can suggest outdated syntax.
• The installation of Codeium slows down Visual Studio.
• Concerns about the training methods for the neural network.
• The only notable benefit is the effective autocompletion of comments.