The short answer: open any AI coding assistant (Claude Code, Cursor, Codex, Antigravity, ChatGPT, Gemini), click into the prompt field, press ⌃+⌥+R (Mac) or Ctrl+Alt+R (Windows/Linux), speak your coding requirements for 40-60 seconds, and AICHE transcribes and inserts the formatted prompt.
Typing 150-200 word prompts with full technical context takes 8-12 minutes and forces you to sit motionless while formulating multi-part coding requirements.
- Open your AI assistant's web interface or CLI (Claude Code, Cursor chat panel, Codex, Antigravity, ChatGPT, Gemini).
- Click into the prompt or message field.
- Press your AICHE hotkey to start recording.
- Speak your complete coding requirement with context (example: "build a React component that fetches user data from an API, handles loading and error states, displays results in a sortable table, uses TypeScript, and makes it reusable").
- Press the hotkey again. AICHE transcribes, applies Message Ready formatting, and inserts the text.
- Press Enter to send the prompt to your AI assistant.
Heads-up: AICHE transcribes your instructions for the AI assistant to read. It doesn't convert spoken words like "function" or "curly brace" into actual code syntax. You describe what you want, the AI writes the code.
Voice Code Mode (Pro): Skip the Enter Key Entirely
On the Pro tier, AICHE's Voice Code mode changes the workflow for agent-loop tools like Claude Code, Codex, Cursor, and Antigravity. Instead of pressing the hotkey to stop and then hitting Enter, you just stop speaking. After a brief natural pause, AICHE cleans the text, inserts it, and submits the prompt for you.
In a 50-prompt session, that eliminates 50 typing sprints and 50 Enter presses. The whole loop becomes voice.
Voice Code also supports voice confirmations - when the agent asks to run a command, apply a patch, or write a file, say "approve" or speak the numbered option ("command one", "command two") instead of reaching for the keyboard. The session becomes a continuous conversation where the agent does the implementation and you do the thinking.
Software Development Profile (Pro)
Generic voice recognition hears "useState" as "you state" and "kubectl" as "cube cuddle". The Pro Software Development profile tunes recognition for code-adjacent speech:
- Casing preserved:
camelCase,snake_case,kebab-case,PascalCase - CLI flags intact:
--dry-run,-f,--since 5m - Library names recognized: Next.js, FastAPI, SvelteKit, Tailwind, tRPC, Polars
- API and protocol nouns: JWT, OAuth, gRPC, GraphQL, WebSocket
Pair it with custom vocabulary for names specific to your stack - repo names, internal services, teammates' handles. 50 entries, synced across every device.
Why Voice Prompts Get Better AI Output
When you type a coding prompt, you instinctively minimize effort. "Fix the auth bug" is easier to type than explaining the full context. But AI assistants produce dramatically better code when they understand the complete picture - framework, architecture, constraints, and what you've already tried.
Speaking removes the effort barrier. A 45-second spoken prompt naturally includes 120-180 words of context that you'd never bother typing. You mention the framework, describe the component structure, explain the bug symptoms, and specify what the fix should look like - all because speaking is easier than typing.
The result is fewer back-and-forth cycles. A detailed first prompt often produces usable code on the first response, while a terse typed prompt requires 3-4 follow-up clarifications before the AI understands what you actually need.
Which AI Tools Work Best
AICHE's global hotkey works with any tool that has a text input field. Here's how it integrates with common AI coding tools:
Claude Code (Terminal and Web)
Click into Claude Code's input, press your hotkey, describe the architecture, the bug, or the feature you need. Claude's strength is understanding complex multi-step requirements, so detailed voice prompts play to its advantage. Speak for 30-60 seconds with full context and Claude produces comprehensive solutions. With Voice Code mode on Pro, the prompt ships on its own when you stop talking. More on AICHE + Claude Code.
Cursor
Cursor's inline chat and agent panel both accept voice input through AICHE. Open the chat panel (Ctrl+L), press your hotkey, and describe the code change you want. Cursor sees your codebase, and your voice prompt gives it the intent - the combination produces targeted edits across multiple files. More on AICHE + Cursor.
Codex and Antigravity
Both run in the terminal and both work with Voice Code mode's pause-aware auto-send. Open the CLI, press your hotkey, describe what you need, stop talking. Prompt ships. Voice confirmations handle the approval gates.
ChatGPT and Gemini
Click into the message field, press your hotkey, speak. These handle well-structured prompts best, so voice dictation's natural sentence structure works in their favor. For code generation, include the language, framework, and any constraints in your spoken prompt. More on AICHE + ChatGPT.
GitHub Copilot Chat
In VS Code's Copilot Chat panel, use your hotkey to dictate coding questions and change requests. Copilot Chat has file context from your editor, so focus your voice prompt on intent and requirements rather than describing the code it can already see.
For Non-English Thinkers
Turn on Auto-translation in AICHE settings. Think in German, Mandarin, Spanish, Japanese, whatever your brain runs in. AICHE transcribes and outputs English. The AI receives clean English prompts. Your brain doesn't translate while typing. 99 input languages, all platforms.
Effective Voice Prompting Patterns
The Context-Problem-Ask Pattern
Start with context (what you're building and what framework), describe the problem (what's broken or what's missing), then state the ask (what you want the AI to do). This mirrors natural conversation and produces the clearest prompts.
Example: "I'm working on a Next.js app with a PostgreSQL backend. The user profile page loads slowly because it makes 6 separate API calls on mount. Can you refactor the data fetching into a single server-side function that runs all queries in parallel and returns a combined response?"
That takes 20 seconds to speak but contains framework, database, specific problem, root cause, and desired solution.
The Iterative Refinement Pattern
Send an initial voice prompt, review the AI's response, then dictate a follow-up that refines the output. "That looks good but change the error handling to use a Result type instead of try-catch, and add a retry with exponential backoff for the network calls."
This is where voice shines - refinement prompts are quick reactions that are painful to type but effortless to speak. You look at the code, see what needs changing, and speak the correction in 10 seconds.
The Architecture Discussion Pattern
Use voice to have a conversational back-and-forth with the AI about system design. "Walk me through the tradeoffs between using a message queue versus direct API calls for the notification system. We need to handle about 5,000 notifications per minute with at-most-once delivery."
Architecture discussions are inherently verbal - they're the kind of conversation you'd have with a senior engineer at a whiteboard. Voice input makes AI interactions feel natural for this type of thinking.
Tips for AI Voice Prompting
Don't self-edit while speaking. Let your thoughts flow out in natural order. Message Ready cleans up grammar and filler afterward. Your job is to communicate the full context, not to craft perfect sentences.
Mention file names and function names. AI tools work better when you reference specific code. "Look at the AuthCallback component in auth-callback.tsx" is better than "look at the auth code."
State constraints explicitly. "Use TypeScript, no external dependencies, compatible with Node 18" - constraints you'd leave out of a typed prompt because they're tedious to type are easy to include when speaking.
Result: detailed coding prompts that took 10 minutes to type with full context now take 50 seconds to speak. Better context, better code, less wrist strain.
Try it now: open Claude Code or Cursor, press your hotkey, and dictate one feature you've been putting off because typing the full requirement with error handling and edge cases felt overwhelming.