Intelligent and predictive modules for software development and coding using artificial intelligence and machine learning

A system comprising:

• one or more processors;
• and
• one or more non-transitory computer readable media executable by the one or more processors to:
• present a development interface of an integrated development environment (IDE), wherein the IDE is a computer program that comprises a plurality of software tools, and wherein the plurality of software tools comprise a code editor, a debugger, an intelligent conversational assistant, and one or more generative artificial intelligence tools;
• receive, in the IDE, a natural language prompt indicating a target functionality for computer code of a first program file under development in a natural language interface of an interface of the intelligent conversational assistant, wherein the development interface of the IDE concurrently presents the natural language interface of the interface of the intelligent conversational assistant and a code editor interface of the code editor comprising the computer code of the first program file under development;
• obtain, by the IDE, input data comprising the natural language prompt, the computer code of the first program file under development, and one or more additional program files under development in accordance with a reference in the first program file under development to the one or more additional program files under development;
• apply, by the IDE, the input data to at least one generative artificial intelligence tool of the one or more generative artificial intelligence tools comprising one or more large language models to obtain suggested computer code for the first program file under development, wherein the one or more large language models are configured to create new computer code based on training data on which the one or more large language models were trained, and wherein the one or more generative artificial intelligence tools are configured to generate the suggested computer code based on the natural language prompt, the computer code of the first program file under development, and the one or more additional program files under development;
• and
• present, in the interface of the intelligent conversational assistant, the suggested computer code and an input component which, when selected, causes the suggested computer code to be incorporated into the first program file under development in the code editor interface of the code editor.

A method comprising:

• presenting a development interface of an integrated development environment (IDE), wherein the IDE is a computer program that comprises a plurality of software tools, and wherein the plurality of software tools comprise a code editor, a debugger, an intelligent conversational assistant, and one or more generative artificial intelligence tools;
• receiving, in the IDE, a natural language prompt indicating a target functionality for computer code of a first program file under development in a natural language interface of an interface of the intelligent conversational assistant, wherein the development interface of the IDE concurrently presents the natural language interface of the interface of the intelligent conversational assistant and a code editor interface of the code editor comprising the computer code of the first program file under development;
• obtaining, by the IDE, input data comprising the natural language prompt, the computer code of the first program file under development, and one or more additional program files under development in accordance with a reference in the first program file under development to the one or more additional program files under development;
• applying, by the IDE, the input data to at least one generative artificial intelligence tool of the one or more generative artificial intelligence tools comprising one or more large language models to obtain suggested computer code for the first program file under development, wherein the one or more large language models are configured to create new computer code based on training data on which the one or more large language models were trained, and wherein the one or more generative artificial intelligence tools are configured to generate the suggested computer code based on the natural language prompt, the computer code of the first program file under development, and the one or more additional program files under development;
• and
• presenting, in the interface of the intelligent conversational assistant, the suggested computer code and an input component which, when selected, causes the suggested computer code to be incorporated into the first program file under development in the code editor interface of the code editor.