Free
$0Free plan available.
Pgrammer is an AI-powered platform designed to help users practice and prepare for coding interviews. It offers coding interview questions with AI hints, personalized learning, and supports various programming languages and difficulty levels. The platform aims to boost users' confidence and skills rapidly, providing real-time hints and solution analysis to improve their coding abilities.
Users can practice coding interview questions, adjust difficulty levels, and receive AI-powered hints and feedback on their code. The platform analyzes submitted solutions to provide actionable improvement points. Additionally, users can request follow-up questions by specifying their preferred difficulty level.
We ask you to specify the level of the engineering role you are targeting. Using this information, our AI selects a realistic interview question. If a question proves too difficult, you can request hints or feedback at any time. You can also adjust the difficulty of subsequent questions based on your experience with the previous one.
We utilize a custom interface and dynamic prompt engineering to transform a GPT-4 session into a FAANG-level software engineer. This AI interviewer can conduct sessions, interpret your code, provide hints, and perform deep analysis of your full or partial solutions.
We have curated over 20 languages for optimal support. Please contact us if you would like to request a specific language. Our code editor, powered by monaco-editor, supports over 75 programming and markup languages, and our GPT-4 integration is capable of understanding a vast range of coding languages.
Yes, we provide questions for languages including HTML, CSS, JavaScript, and TypeScript. Our code analyzer and hint system are optimized to support these languages effectively.
The current public version is designed to help candidates prepare for interviews. If you are interested in our upcoming features for interviewers, please contact us at Shipyard Media for more information.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Pgrammer.
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