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SKI

Freemium

On-device voice assistant for AI coding; hands-free coding for developers.

22 visitors 2 hours ago

Struggling to code while juggling keyboard, tools, and context?

With SKI, developers talk to AI coding agents entirely on-device, enabling on-device speech-to-text and local processing for privacy-focused workflows.

Stop Wasting Time Typing

SKI converts speech to text locally, supports a two-way conversational loop, and provides live agent updates without cloud uploads, speeding up development.

The Aha Moment

Experience faster development with hands-free coding as SKI speaks back results from AI coding agents in real time, with local processing and no cloud uploads.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

No trial or guarantee available

Quick verdict

Based on 2 reviews

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Pros

  • Two-way voice loop for real-time conversational coding with an agent.
  • Private, offline transcription keeps my code and notes secure.
  • Per-project voices prevent cross-talk between repos.

Cons

  • Initial setup for per-project voices feels fiddly and could be streamlined.
  • Long identifiers or rapid speech can trigger transcription hiccups.
  • Context can drift during longer sessions and needs quick re-clarification.

Customer Reviews for SKI

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 4.5/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Noah Davis
Noah Davis 0

Two-way voice loop lets me talk through code with an AI agent and get live feedback. The on-device transcription keeps my work private, and the per-project voices keep contexts clean across repos. Status updates show progress without hunting through logs. The initial setup for voices is a bit fiddly, but it pays off in day-to-day flow.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.5/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Noah Davis

Noah Davis

Trusted Reviewer
4.0
Recommends

Hands-free coding with live agent feedback finally clicked

Used for week to month

What I liked

  • Two-way voice loop for real-time conversational coding with an agent.
  • Private, offline transcription keeps my code and notes secure.
  • Per-project voices prevent cross-talk between repos.
  • Live agent status updates surface progress without checking build logs.

What could be better

  • Initial setup for per-project voices feels fiddly and could be streamlined.
  • Long identifiers or rapid speech can trigger transcription hiccups.
  • Context can drift during longer sessions and needs quick re-clarification.

Two-way voice loop lets me talk through code with an AI agent and get live feedback. The on-device transcription keeps my work private, and the per-project voices keep contexts clean across repos. Status updates show progress without hunting through logs. The initial setup for voices is a bit fiddly, but it pays off in day-to-day flow.

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User avatar for Chloe Lee

Chloe Lee

Trusted Reviewer
5.0
Recommends

Privacy-first, offline coding voice that actually sounds human

Used for 3-6 months

What I liked

  • Local neural voice synthesis for natural, private responses.
  • On-device transcription keeps sensitive code private.
  • Per-project voices let me manage multiple repos without voice bleed.
  • Agent status updates provide real-time progress during tests and builds.

What could be better

  • Latencies can appear with long or complex commands.
  • Some meeting integrations require extra steps or licensing.
  • Tuning per-project voice mappings can take a few sessions.

Local neural voice synthesis makes the responses sound natural offline, which is a big win for privacy. The on-device transcription is fast enough for clean voice commands, and per-project voices keep my multi-repo setup tidy. Agent status updates help me track builds during calls, and we can record meetings locally for notes. The setup for some platform integrations could be smoother.

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How it works

How SKI Works In 3 Steps?

  1. Step 1

    1. Install SKI

    Download and install SKI on your computer to enable on-device voice coding.

  2. Step 2

    2. Connect an AI agent

    Connect a coding agent (e.g., Claude Code or Codex) to start voice coding.

  3. Step 3

    3. Start speaking to code

    Press the hotkey, speak commands, and review the agent's responses aloud.

Direct Comparison

See how SKI compares to its alternative:

SKI VS Spoke

SKI: Features, Advantages & FAQs

Explore everything you need to know about SKI

Core Features
  • On-device speech-to-text: Private, offline transcription
  • Two-way voice loop: Real-time conversational coding with agents
  • Local neural voice synthesis: Natural responses without cloud
  • Multi-project voice routing: Separate voices per project
  • Agent status updates: Live progress visibility
  • Meeting integration: Optional agent participation in calls
Advantages
  • Privacy-focused: Local processing keeps data on-device
  • Offline transcription: No cloud uploads
  • Real-time voice: Full-duplex feedback
  • Multi-project routing: Per-project voices
  • Meeting support: AI agent participation and notes
  • No vendor lock-in: Local data handling
Use Cases
  • Hands-free coding with voice commands
  • Running tests and hearing results
  • Building web apps through voice coding
  • Inspecting files and implementing changes
  • Managing multiple repositories with per-project voices
  • Recording and transcribing meetings locally
  • Notetaking by an AI agent during calls
Best For
  • Software developers, AI engineers, Frontend developers, Backend developers, DevOps engineers, Product managers

Integrations

Works with the tools you already use

No direct integrations available
Best For

Software developers, AI engineers, Frontend developers, Backend developers, DevOps engineers, Product managers

Skill Level
Beginner-Friendly

Frequently Asked Questions

Developed by: SKI Team

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