AICHE +

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Tabnine Integration

The short answer: open your editor with Tabnine, position cursor above where you need code, press ⌃+⌥+R (Mac) or Ctrl+Alt+R (Windows/Linux), speak your context for 30-60 seconds, and AICHE inserts a detailed comment that improves Tabnine suggestions.

Tabnine provides AI code completion across all editors, but detailed context comments that improve suggestions take 6+ minutes to type. Voice captures intent faster while providing better context for AI.

1. Open your code editor with Tabnine installed.
2. Position your cursor where you'll write code.
3. Add a comment block for context.
4. Press your AICHE hotkey to start recording.
5. Speak your requirement (example: "Add context comment for Tabnine to help generate data processing function. Need function that accepts array of user objects, filters for active users with verified email, sorts by registration date descending, extracts user IDs into new array, removes duplicates using Set, and returns sorted array of unique active user IDs. Function should handle edge cases including empty input array, null values, missing email verified field defaulting to false. Use modern JavaScript with array methods map, filter, sort. Include JSDoc with parameter and return types").
6. Press the hotkey again-AICHE transcribes and inserts the context comment.
7. Start typing below the comment and Tabnine suggests code matching your verbal specification.

Heads-up: Tabnine learns from your codebase patterns. After dictating context comments for similar functions, Tabnine's suggestions improve because the AI recognizes your documentation style and coding patterns.

The pro-tip: combine voice context with Tabnine's inline documentation feature. Dictate the high-level requirement, let Tabnine generate the function, then dictate detailed JSDoc explaining the implementation Tabnine produced.

Result: context comments that guide Tabnine to better completions, taking 8 minutes to type, now take 90 seconds to dictate, and Tabnine's AI generates more accurate suggestions because spoken context includes edge cases and requirements typing often omits.

Do this now: open your editor with Tabnine, add a comment block, press your hotkey, and dictate one function requirement with all edge cases, data transformations, and expected behavior. Watch Tabnine's next suggestion match your verbal specification more accurately than generic completions.