Quick Answer
Need to dictate prompts?
Use Spokenly system-wide so you can speak into terminal agents, IDE chats, documents, browsers, and issue trackers on macOS, Windows, and iOS.
Need AI coding agents?
Use Spokenly with Claude Code, Codex, Cursor, OpenCode, Aider, and similar tools. With MCP voice input, an agent can ask a question and receive your spoken answer.
Need voice automation?
Use Agent Mode and Agentic Actions to launch apps, run Shortcuts, search the web, and route spoken requests into automation workflows on macOS.
Need privacy?
Use local speech models and Local Only Mode when source code, client data, or incident details should not leave the device.
What Voice Coding Means
Voice coding now usually means speaking detailed instructions into AI coding agents. The useful part is not turning every spoken word into literal code. The useful part is giving the agent more context than you would normally type.
A typed prompt often becomes short because typing is friction. A spoken prompt can include the bug, the expected behavior, what you already tried, the files that matter, and what the agent should avoid changing. That extra context helps agents make better first edits.
Why Voice Helps AI Coding Agents
Say the goal
Start with the outcome: fix the failing checkout test, add keyboard navigation to the modal, or compare two implementations before editing.
Add the details you would skip while typing
Mention files, logs, user-visible behavior, constraints, and what must stay unchanged. Long spoken context is often easier than typing the same context by hand.
Do not worry about perfect phrasing
Small pauses, repetitions, and self-corrections are fine. A coding agent usually benefits more from extra context than from a short polished prompt.
Spokenly Workflows for Voice Coding
System-wide prompt dictation
Speak into terminal agents, IDE chats, browser tools, issue trackers, docs, and pull request comments. Spokenly works across macOS, Windows, and iOS.
Agent Mode and automations
Use Spokenly Agent Mode and Agentic Actions on macOS to launch apps, run Shortcuts, search the web, and hand spoken requests to automation workflows.
MCP voice input for agents
Connect Spokenly to MCP-compatible coding tools so the agent can ask a question and receive your spoken answer instead of waiting for typed text.
Local and BYOK transcription
Use local Parakeet or Whisper when code context should stay on-device, or bring your own OpenAI, Deepgram, or Groq key when cloud accuracy matters more.
Start with the developer voice dictation guide, then connect the specific tool you use: Codex, Claude Code, or Cursor.
Terminal and IDE Workflows
Use voice where typing creates friction: long prompts, bug descriptions, review notes, refactor constraints, and planning messages. Keep exact symbol edits, cursor movement, and tiny corrections on the keyboard when that is faster.
Terminal Agents
Dictate multi-paragraph instructions into Claude Code, Codex, OpenCode, Aider, or similar terminal agents. Voice is especially useful when the prompt needs logs, filenames, and constraints.
IDE Chats
Speak into Cursor, IDE agent panels, browser coding tools, or pull request comments. Spokenly inserts the text where your cursor already is.
How to Dictate Better Prompts
Longer spoken prompts are usually better than short typed prompts for agentic coding. You can ramble a little, correct yourself, and add context as it comes to mind. The agent still receives a clear text prompt, and the extra detail usually improves the result.
Start with the task
Say what you want changed and why it matters to the user.
Name the boundaries
Mention files, components, APIs, platforms, or behavior that should stay out of scope.
Include evidence
Read the error message, paste the failing test name, or summarize the screenshot before asking for edits.
Ask for the check
Tell the agent what command, test, or manual workflow should confirm the change.
Privacy and Offline Options
Developer prompts can contain secrets, client names, incident details, repo architecture, or unreleased plans. If that matters, use local speech-to-text or a strict local mode, and keep provider choice explicit.
Spokenly can run local Parakeet and Whisper models, and Local Only Mode blocks outbound network traffic except localhost. For teams that prefer cloud models, BYOK keeps provider choice visible.
See Local Only Mode and Voice for Agents.
FAQ
What is voice coding in 2026?
Voice coding in 2026 means using speech-to-text apps like Spokenly to give detailed natural-language instructions to AI coding agents. Instead of typing a short prompt, you can speak the goal, constraints, files, errors, and expected result.
Can I code with voice in Claude Code or Codex?
Yes. Spokenly can dictate into Claude Code, Codex, Cursor, OpenCode, Aider, and similar tools. With MCP setup on macOS, supported agents can also ask for voice input directly.
Can AI coding agents ask me questions by voice?
Yes. Spokenly runs a local MCP server for compatible agents. When an agent needs clarification, it can call Spokenly's dictation tool, show the question, and receive your spoken answer as text.
Does Spokenly work outside coding agents?
Yes. Spokenly works system-wide, so the same voice input can be used in terminals, IDE chats, browsers, documents, issue trackers, email, and notes on macOS, Windows, and iOS.
Can voice coding stay local?
Yes. Spokenly supports local speech models and Local Only Mode. Local Only Mode blocks outbound network traffic except localhost, which is useful when prompts include source code, client data, or incident details.