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Code Pro is an open-source AI coding assistant and technical interview copilot designed for developers, students, and software engineers preparing for or participating in coding interviews.
Code Pro provides real-time assistance during technical interviews by combining screen capture, audio transcription, AI-powered problem solving, code generation, reasoning, and interactive follow-up questions in a single desktop application.
It is built as an open-source alternative to closed-source AI interview tools such as Cluely, Interview Coder, and Final Round AI, giving developers more control over their data, AI provider, prompts, costs, and customization.
🚀 Features
Code Pro can capture coding problems directly from your screen and use AI vision capabilities to understand:
Coding interview questions
Problem statements
Constraints
Input and output formats
Examples
Test cases
Existing code
Error messages
Interviewer-provided coding tasks
Instead of manually copying an interview question into an AI chatbot, Code Pro can extract the relevant context directly from your screen.
Code Pro supports separate audio sources for better interview context:
System audio — captures and transcribes the interviewer
Microphone audio — captures what you say
Separate transcription streams help distinguish interviewer questions from your own responses
This allows the AI to maintain context throughout a technical interview and respond to changing questions or requirements.
Code Pro is designed to provide more than a blind code dump.
Solutions can be structured around:
Understanding the problem
Key observations
Intuition
Algorithm and approach
Complexity analysis
Step-by-step dry run
Implementation
Edge cases
Possible optimizations
This makes the generated response useful for understanding and explaining a solution, rather than simply copying code.
Technical interviews are interactive, so Code Pro supports follow-up questions and changing requirements.
You can ask questions such as:
Why use a heap instead of two pointers?
Can this solution be optimized?
Can we reduce the space complexity to O(1)?
What happens with duplicate values?
Why does this algorithm work?
What is the time complexity?
Can you explain this line of code?
What edge cases should I consider?
Can we solve this using dynamic programming?
Is there a better approach?
The AI can use the existing problem and conversation context to answer without requiring you to start over.
🔑 Bring Your Own Key (BYOK)
Code Pro follows a Bring Your Own Key (BYOK) model.
You can connect your own API keys from supported AI providers such as:
Google Gemini
OpenAI
Anthropic Claude
Your requests can go directly to the AI provider instead of being routed through a proprietary SaaS backend.
This provides greater control over:
AI models
API usage
Costs
Prompts
Privacy
Configuration
There is no requirement to pay for another monthly AI subscription just to access the application.
💰 Pay for AI Usage, Not an Expensive Subscription
Traditional AI interview assistants can charge significant monthly subscription fees.
With Code Pro, you can use your own API key and pay the AI provider directly for usage.
For inexpensive models, an individual coding problem can cost only a few cents or less depending on the model, prompt size, image processing, audio transcription, and usage.
This makes Code Pro particularly useful for developers who want an affordable Cluely alternative, Interview Coder alternative, or Final Round AI alternative without another recurring subscription.
🔓 Fully Open Source
Code Pro is designed to be hackable and customizable.
The project is released under the AGPL-3.0 license, allowing developers to inspect the source code, modify the application, customize prompts, add functionality, and create their own versions in accordance with the license.
You can customize things such as:
AI prompts
Solution formatting
Supported AI providers
User interface
Keyboard shortcuts
Screen capture workflows
Audio processing
Interview workflows
Model selection
Response structure
Instead of using a closed AI interview platform where the underlying implementation is hidden, Code Pro gives developers the ability to inspect and modify the software.
🛠️ Technology Stack
Code Pro is built using modern desktop application technologies:
Electron
React
TypeScript
AI vision models
Large language models
Speech-to-text
Screen capture
Audio processing
The architecture is intended to make the application accessible to developers who want to contribute, fork the project, or build additional AI-powered developer tools.
🎯 Use Cases
Code Pro can be useful for:
Software engineering interviews
Coding interviews
Technical interviews
LeetCode practice
Algorithm practice
Data structures practice
System design preparation
Competitive programming practice
Debugging
Learning algorithms
Understanding unfamiliar code
Practicing technical explanations
AI-assisted coding
Developer productivity
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