Your code leaves your device
Every line you share with ChatGPT, Copilot, or Claude travels to corporate servers. This violates NDAs, company policies, and puts IP at risk.
For developers
Code with AI without leaking your IP.
Debug, refactor, learn, and build on-device. Your proprietary code, client work, and side projects stay on your machine.
Cloud AI and developer privacy
When you paste code into ChatGPT, GitHub Copilot, or Claude, four things happen at once:
Data breaches expose code
If their servers get hacked, your proprietary algorithms, API keys, and business logic could leak alongside other customer data.
Training data concerns
Even with opt-outs, you're trusting companies with your code. Accidental inclusion in training data is a real risk.
No internet, no help
Cloud AI requires connectivity. Coding on a plane, in a coffee shop with bad WiFi, or in a secure environment? You're stuck.
How KernelAI fixes this
KernelAI runs AI models entirely on your iPhone. Your code never leaves your device. No cloud servers, no internet required, no data collection.
100% private
Your code stays on your device. Mathematically impossible for us or anyone else to access it.
Works offline
Code on planes, in secure facilities, or anywhere with no signal. No internet dependency.
NDA-safe
Use AI without violating non-disclosure agreements or company security policies.
Free unlimited
No usage limits, no API costs, no subscriptions. Code as much as you want.
What developers use KernelAI for
Code explanation & learning
Paste unfamiliar code snippets and ask 'What does this do?' Perfect for understanding legacy code or learning new frameworks. Try: "Explain this React useEffect hook and why it has an empty dependency array."
Debugging assistance
Get help finding bugs without exposing your production code to cloud AI. Describe the error, paste the stack trace, get suggestions. Try: "Why am I getting 'Cannot read property of undefined'? Here's my code..."
Refactoring & optimization
Ask for cleaner, more efficient versions of your code. Improve performance, readability, or design patterns privately. Try: "Refactor this function to be more performant and follow best practices."
Code generation
Generate boilerplate, write unit tests, create utility functions. Speed up development without cloud dependency. Try: "Write a TypeScript function that validates email addresses with proper error handling."
Documentation & comments
Generate docstrings, add comments to complex logic, write README sections. Document your code without sharing it. Try: "Add JSDoc comments to this function explaining parameters and return value."
Recommended coding models
KernelAI includes specialized coding models trained on millions of code repositories.
Qwen 2.5 Coder 3B
Excellent all-around coding assistant. Great at generation, debugging, and refactoring.
DeepSeek Coder 1.3B
Fast and efficient. Supports 87 programming languages. Perfect for quick help.
DeepSeek Coder 6.7B
Professional-grade code generation. Best for complex refactoring and architecture.
Languages and frameworks
Our coding models support all major programming languages and frameworks:
JavaScriptTypeScriptPythonJavaC++C#GoRustSwiftKotlinPHPRubyReactVueAngularNode.jsDjangoFlaskSpringSQLAnd 60+ more...
Where developers reach for it
Working on a startup's core algorithm
Can't risk sharing IP with cloud AI. Use KernelAI to brainstorm optimizations completely offline.
Coding on a 14-hour flight
No WiFi, but KernelAI works perfectly. Get AI help debugging and refactoring at 35,000 feet.
Learning a new framework
Paste example code and ask questions without worrying about data collection or API costs.
Working under NDA
Client code can't leave your device per contract. KernelAI lets you use AI while staying compliant.
Recommended models
Start with Qwen 2.5 Coder 3B as your daily driver. It balances capability and speed on most modern iPhones. Drop to DeepSeek Coder 1.3B when you need quick autocomplete-style answers. Step up to DeepSeek Coder 6.7B for architecture-level refactors and dense reasoning over larger snippets.