Abstract: An AI tool for writing computer code is generated by collecting code entry data from a plurality of remote computing devices, training a code completion network using the code entry data, wherein the code completion network is configured to predict one or more additional code entry activities based on a provided set of code entry activities, and providing the code completion network to one or more development sessions. A code segment is intelligently generated by receiving a request to modify computer code of a program in a development interface, and presenting a text input component and a code description prompt. The technique further includes receiving, via the text input component, a code description, applying at least part of the code description to a code generation network to obtain a code segment suggestion and presenting the code segment suggestion on a display.
Abstract: An AI tool for writing computer code is generated by collecting code entry data from a plurality of remote computing devices, training a code completion network using the code entry data, wherein the code completion network is configured to predict one or more additional code entry activities based on a provided set of code entry activities, and providing the code completion network to one or more development sessions. A code segment is intelligently generated by receiving a request to modify computer code of a program in a development interface, and presenting a text input component and a code description prompt. The technique further includes receiving, via the text input component, a code description, applying at least part of the code description to a code generation network to obtain a code segment suggestion and presenting the code segment suggestion on a display.
Abstract: A set of code packages are made available for a computer program by determining that a computer program references one or more code packages stored in a code package library. The code package library includes a plurality of code packages, and is read-only accessible to a plurality of computer programs. The computer program is stored on a first non-transitory computer readable storage medium. In response to determining that the computer program references one or more code packages stored in the code package library, one or more portions of the code package library are attached to the first non-transitory computer readable storage medium and the computer program is executed based on the referenced one or more code packages.
Abstract: An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and/or code snippets. Suggested inputs are obtained from a predictive model based on the user's input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.
Type:
Grant
Filed:
July 12, 2023
Date of Patent:
November 18, 2025
Assignee:
Replit, Inc.
Inventors:
Laima Tazmin, Matthew Chen, Ian Kirkpatrick
Abstract: An AI tool for writing computer code is generated by collecting code entry data from a plurality of remote computing devices, training a code completion network using the code entry data, wherein the code completion network is configured to predict one or more additional code entry activities based on a provided set of code entry activities, and providing the code completion network to one or more development sessions. A code segment is intelligently generated by receiving a request to modify computer code of a program in a development interface, and presenting a text input component and a code description prompt. The technique further includes receiving, via the text input component, a code description, applying at least part of the code description to a code generation network to obtain a code segment suggestion and presenting the code segment suggestion on a display.