Why Inline AI Editing?
- Keeps you in the flow of coding
- Provides suggestions as diffs you can accept or reject
- Accelerates prototyping, refactoring, and helper-function generation
Inline prompts work best for focused, localized changes. For broad design discussions, consider a separate chat to maintain context.
Example: Simple Flask Authentication
Below is a minimal Flask app that demonstrates password hashing, an authentication decorator, and basic routes. We’ll use this code to show inline AI-powered enhancements.Using SHA-1 for password hashing is not secure for production. Consider
bcrypt or scrypt for real-world applications.Inline Prompt vs Separate Chat
Most AI coding tools offer two modes. Choose based on your task:| Mode | Shortcut | Best Use Cases |
|---|---|---|
| Separate Chat | Command L / Ctrl L | Deep discussions, design reviews, large refactors |
| Inline Prompt | Command K / Ctrl K | Quick edits, helper functions, localized refactoring |
Generating a Helper Function Inline
- Highlight the code location.
- Invoke the inline prompt (⌘-K / Ctrl-K).
- Ask for a helper function, e.g., “Create a function to reverse a string.”
Evolving Code with Inline Edits
You can request optimizations or new features inline. For example, add logging and error handling to yourlogin_required decorator:
When to Use Each Mode
- Separate Chat
- Deep architectural discussions
- Reviewing or documenting large codebases
- Inline Prompt
- Fast helper functions
- Small bug fixes or refactors
- Localized testing and debugging