?? ML that Improves Code Writing
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The idea of machine learning (ML) models that can create production-ready code has been one of the iconic use cases in the history of AI. A few months ago, the AI world was astonished by the release of models like OpenAI’s Codex and DeepMind’s AlphaCode that can generate sophisticated text from natural language. These types of models are an important step for code generation, and they have opened the door to all sorts of research about using ML models to improve the process of writing software.??
The lifecycle of code in software applications goes beyond authoring. Typically, developers in peripheral tasks such as testing or bug fixing. This is an area that ML can help too. Just this week, there were several research contributions to the ML-first code space. Microsoft Research unveiled Jigsaw, a model that can fix bugs in the code generated by large language-to-code models. Similarly, Stanford University published details about a model used to evaluate coding tests. Salesforce is also jumping into the ML code generation space with CodeGen, a mode that can generate code from language instructions. From code generation to testing to bug fixing, ML is rapidly penetrating all areas of software development.
Read more here: https://thesequence.substack.com/p/-ml-that-improves-code-writing