Coding interview assistant
Parrot Copilot reads a coding problem — pasted or captured from your screen — and answers in the order you need it: the approach first, then the complexity, then a clean, commented solution in your language. It streams the answer as it is written, so you can start reasoning before it finishes.
From a first practice problem to the final onsite.
Every answer starts with the idea — the pattern, the data structure and why it works — so you can explain it, not just paste it.
Time and space complexity come with each solution, with the trade-off against the brute-force version.
Python, Java, C++, JavaScript, TypeScript, Go and more, with syntax-highlighted code you can copy in one click.
Paste an error or a failing test case and get the cause and a fix, explained line by line.
No middleman between you and the model.
Answers stream from the model as they are generated and use the fastest setting each provider offers for live use.
Use OpenAI, Claude, Gemini, Groq, DeepSeek or Mistral with your own key, or local models through Ollama. Requests go straight from your computer to the provider.
API keys live in your operating system's keychain and never pass through Parrot's servers.
Beyond code, talk through data models, scaling, caching and queues with an assistant that knows the role you are targeting.
A tool that helps you solve and understand coding interview problems with AI. Parrot Copilot takes a pasted or screenshotted problem and returns the approach, the time and space complexity and a clean solution in your language, streamed in seconds.
Yes. Paste a LeetCode-style problem or capture it from your screen; Parrot explains the pattern (two pointers, sliding window, dynamic programming, graphs and so on), gives the complexity and writes a working solution.
Any language the model knows, including Python, Java, C++, JavaScript, TypeScript, Go, C# and Kotlin. Choose the language and the answer is written in it.
Your own key for OpenAI, Anthropic Claude, Google Gemini, Groq, DeepSeek or Mistral, or local models through Ollama. You can switch models at any time.
Use it to learn patterns, practise and check your reasoning. Interviewers ask follow-up questions, so the goal is to understand every solution well enough to explain and adapt it yourself.