CrackCoder

Crack Coder | Hack Tech Interviews is an open-source AI-assisted tool aimed at providing rapid DSA (Data Structures and Algorithms) solution concepts during technical interviews. Marketed as invisible and undetectable, it emphasizes speed in solving problems and compatibility across major coding and meeting platforms. The project is released as a free, community-driven repository and is designed to be cloneable and runnable on a user’s local machine. It carries a cautionary disclaimer encouraging ethical use and responsible learning rather than cheating.

How it Works (high-level)

• The tool is distributed as a repository that you clone to your local machine.
• It provides an auxiliary helper intended to assist with DSA problem understanding and solution thinking during interviews.
• The core promise is rapid generation of DSA insights that can help users reason about problems across common platforms used in interviews.
• Being open-source, it invites contributions and customization by the user community.

Important: The project includes a disclaimer emphasizing educational use and ethical learning, and it does not endorse cheating. Use responsibly and in accordance with applicable rules and guidelines.

Usage Overview (summary)

• Clone the repository to your machine.
• Run the helper tool in the appropriate environment before an interview to assist with problem-solving approaches.
• Use the generated insights to understand algorithms and data structures, not to bypass evaluation criteria.
• Leverage the tool alongside legitimate study and practice to improve understanding and problem-solving skills.

Ethical and Safety Considerations

• The project explicitly discourages cheating and promotes ethical learning.
• Users should adhere to interview rules and institutional policies.
• The tool is intended for educational purposes and to improve understanding, not to enable dishonest behavior.

Core Features

• Open-source, free to use and modify
• Designed to be completely local (no mandatory cloud dependency for core use)
• Aims to provide rapid DSA problem-solving insights during interviews
• Compatible with major coding and meeting platforms
• Community-driven with potential for contributions and improvements
• Emphasis on responsible and ethical use during learning and interviews