AlphaCode is a system designed to generate code for competitive programming problems, aiming to assist programmers and potentially automate the process. The system leverages large transformer-based models trained on extensive datasets, including GitHub code and a curated set of competitive programming problems. Key components include an extensive and clean dataset, efficient transformer architectures, and large-scale sampling followed by filtering based on program behavior. In simulated evaluations on the Codeforces platform, AlphaCode achieved an average ranking of top 54.3% among participants in competitions with over 5,000 participants. The system's performance was validated through detailed analysis, showing that it does not duplicate code from the training dataset but instead relies on natural language problem descriptions to create original solutions. AlphaCode's capabilities and limitations were also examined, highlighting its effectiveness in solving complex problems that require deep algorithmic reasoning and understanding of natural language descriptions.AlphaCode is a system designed to generate code for competitive programming problems, aiming to assist programmers and potentially automate the process. The system leverages large transformer-based models trained on extensive datasets, including GitHub code and a curated set of competitive programming problems. Key components include an extensive and clean dataset, efficient transformer architectures, and large-scale sampling followed by filtering based on program behavior. In simulated evaluations on the Codeforces platform, AlphaCode achieved an average ranking of top 54.3% among participants in competitions with over 5,000 participants. The system's performance was validated through detailed analysis, showing that it does not duplicate code from the training dataset but instead relies on natural language problem descriptions to create original solutions. AlphaCode's capabilities and limitations were also examined, highlighting its effectiveness in solving complex problems that require deep algorithmic reasoning and understanding of natural language descriptions.