Efficient use of Refact.ai's code completion features
Refact.ai's intelligent code completion feature is based on the Qwen2.5-Coder model and RAG technology, which significantly reduces duplicate coding. To achieve this, follow the steps below:
- Installation Configuration: After installing the plugin in VS Code or JetBrains IDE, enable "Context-aware completion" in the settings and set the completion trigger delay to 200ms
- contextual optimization: Keeping the project document structure clear, AI analyzes the entire project context to provide more accurate recommendations
- Multi-model selection: switching models for different languages, e.g. Python projects use Qwen2.5-Coder, TypeScript can choose GPT-4o models
- Shortcut key usage: Tab to accept suggestions, Ctrl+Space to manually trigger completion, Alt+[ / Alt+] to cycle through suggested items
Real-world example: When developing React components, typing "useState" automatically completes the entire hook template; typing axios. completes common request methods. Note that you can periodically clear the completion cache (by running "Refact: Clear Completion Cache" from the command panel) to get the latest model support.
This answer comes from the articleRefact.ai: open source AI programming assistant to improve code writing efficiencyThe
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