How does CGFT improve code writing in Xcode?
CGFT improves code writing in Xcode by offering intuitive, context-aware code completion suggestions. This tool uses an engine that parses and indexes codebases locally in order to provide highly relevant suggestions, making the coding process smoother and more efficient.
What is the difference between local and cloud-based models in CGFT?
The difference between local and cloud-based models in CGFT is that local models allow users to utilize any model locally through Ollama and work with various platforms such as DeepSeek Coder, Starcoder, and Qwen. On the other hand, CGFT's cloud-based models come with longer context windows for better suggestions and are hosted on the cloud.
What platforms can one use with Ollama and CGFT's local model option?
With Ollama and CGFT's local model option, one can use various platforms such as DeepSeek Coder, Starcoder, and Qwen.
Are there differences in the suggestions given by CGFT's local and cloud-based models?
Indeed, there are differences in the suggestions given by CGFT's local and cloud-based models. For users seeking better suggestions, CGFT's cloud-based models, equipped with longer context windows, have proven to deliver more effective suggestions.
What is CGFT's context engine and how does it contribute to code completion?
CGFT's context engine is an intelligent mechanism that parses and indexes codebases locally. It provides extremely relevant suggestions for code completion by understanding the context of your existing code and predicting what you will type next.
Can I use other open-source code models with CGFT?
Yes, users can leverage any open-source code model of their choice with CGFT via Ollama.
Where does all the processing occur while using CGFT's local models?
When using CGFT's local models, all processing happens on your machine, ensuring supreme data security.
Is my code stored or trained on during usage of CGFT's cloud-based models?
No, during the usage of CGFT's cloud-based models, there are no instances of storing or training on any user's code.
Which versions of macOS is CGFT compatible with?
CGFT is compatible with macOS 12 and subsequent versions.
Does CGFT offer better suggestive coding than Swift's built-in predictive code completion?
Yes, CGFT does offer better suggestive coding than Swift's built-in predictive code completion. This is achieved via its cloud model, which provides a longer context window for better suggestions.
What does it mean when you say CGFT avails more context windows?
When it is mentioned that CGFT avails more context windows, it refers to the provision of a larger scope for code analysis by their cloud-based models. This allows for better and more accurate code prediction.
How does CGFT ensure data security?
CGFT ensures data security through robust measures. All processing happens on your machine when using local models, ensuring no third-party access. Moreover, when using their cloud-based models, no user code is retained or trained upon, further enhancing privacy and security.
How can CGFT contribute to app development?
CGFT can contribute to App development by diminishing the amount of coding required, providing context-aware coding suggestions, making the process of coding more efficient and reducing errors and time taken. Its compatibility with macOS versions 12 and above adds to its usability in the app development process.
What are the unique features of CGFT?
The unique features of CGFT include: Context-aware code completion, compatibility with both local and cloud-based models for code completion, a context engine that parses and indexes codebases locally, ability to utilize any local model via Ollama, data security measures ensuring no retention of user code, and compatibility with macOS 12 and subsequent versions.
Where can I download CGFT for Mac?
CGFT for Mac can be downloaded directly from their website.
Can I use CGFT's mightier models even without internet connection?
No, Internet connection is required to utilize CGFT's cloud-based models since they are hosted remotely. However, the AI tool does offer local models which can be utilized without an internet connection.
Does CGFT integrate with any other AI coding assistance platforms?
CGFT integrates with Ollama, a platform that allows users to use any local model of their choice.
Are there any subscription costs for using CGFT's cloud models?
As of now, there are no subscription costs for using CGFT's cloud models, though the company may introduce a paid tier for more powerful models in the future.
Support Flow
Mini tools
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
How would you rate CGFT - Finetuned Code AI?
Help other people by letting them know if this AI was useful.