A variety of code generation tools are widely used, including:
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GitHub Copilot: This tool is powered by OpenAI Codex and is capable of generating code in multiple languages. It also aids in identifying errors, detecting security threats, and debugging.
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PyCharm: Although it’s primarily recognized as a Python IDE, PyCharm provides AI-based code generation tools for Python developers as well. These include auto-completion and error identification functionalities.
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Pieces for Developers: Pieces is an AI-powered code generation tool that is user-friendly and enables easy saving, enriching, sharing, finding, and reusing of code snippets.
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OpenAI Codex: This powers GitHub Copilot and can write code in various languages using billions of lines of publicly available code as its foundation.
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Tabnine: Tabnine improves auto-completion features in IDEs and supports over 20 languages, making it a valuable AI-based code completion tool.
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CodeT5: This open-source programming language model by Salesforce is based on Google’s T5 framework. It offers text-to-code generation, code autocompletion, and code summarization capabilities.
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Polycoder: Polycoder was developed by Carnegie Mellon University as an open-source model based on GPT-2 trained on a vast codebase. It excels at writing C code with high precision.
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Cogram: Designed for data scientists and Python programmers who use SQL queries and Jupyter Notebooks, Cogram translates English queries into complex SQL queries while generating contextual code based on comments.
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CodeGeeX: CodeGeeX is a versatile tool equipped with 13 billion parameters that can create codes in different languages, translate codes across languages, and provide customizable programming assistance.
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Duckargs: Duckargs helps save time when creating Python or C programs that receive input from the command line.
These tools offer a range of features, pricing models, and are designed for different user groups, thus meeting various needs within the software development community.
