Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency. Powered by large language models (LLMs) running on Oracle Cloud Infrastructure (OCI) and optimized for Java, SQL, and application development on OCI, Oracle Code Assist is planned to provide developers with context-specific suggestions that can be tailored to an organization's best practices and codebases. Oracle Code Assist will also be designed to be used to update, upgrade, and refactor code written in most modern programming languages.

AI-powered software development has revolutionized how software is conceptualized, created, tested, and managed. With AI-assisted tools, developers can explore new ideas and receive intelligent suggestions for new, upgraded, or refactored code. Moreover, routine tasks can be automated, making AI tools an integral part of every software development life cycle (SDLC) stage.

Oracle Code Assist is expected to be a prime example of this, addressing each step in the SDLC by providing code snippets, dependency analysis, error mitigation alternatives, test cases, annotation, summarization, and documentation. Deployed as a development environment plugin for JetBrains IntelliJ IDEA or Microsoft Visual Studio Code, Oracle Code Assist is planned to be specifically trained to provide expert, opinionated feedback to help developers build, optimize, and upgrade applications wherever they are run. Oracle is the steward and main developer of the Java platform and a pioneer in the relational database industry.

Oracle Code Assist is trained on a broad repository of software developed over many years of application and software development. By fine-tuning with OCI's service APIs, coding patterns, and Oracle's own software development best practices from Java, SQL, OCI, and additional ones like NetSuite's SuiteScript, Oracle Code Assist is expected to be ideally equipped to serve organizations no matter where their software and applications are deployed. Oracle Code Assist is planned to help developers boost velocity with: Code Generation: Provides code suggestions based on learned context and patterns and generates entire class files, methods, or lines of code.

Developers can then accept, modify, or reject the code snippet, reduce the time spent writing boilerplate code, and build applications faster. Code Annotation: Generates application programming interface (API) documentation or comments to describe code functionality. This helps developers with the application's lifelong maintenance.

Code Explainability: Provides a plain language summary of the code. This helps developers tasked with reviewing or refactoring existing code and saves time by providing precise and easy-to-understand context. Faster Code Reviews: Initiates a pull request to merge changes into a repository after writing code reviews and recommends code changes based on performance, quality, efficiency, and styling guidelines.

This helps developers deliver higher-quality code. Test Coverage Generation: Creates unit and functional tests based on the context of the code. This helps developers improve test quality with better test coverage spanning a greater variety of test inputs.

Oracle Code Assist is also expected to help developers enhance code consistency and optimization with: Tailored Suggestions: Incorporates an organization's coding frameworks, internal libraries, best practices, and industry-specific standards to generate organization-specific code. This helps developers with code reviews, updates, and integration into existing codebases. Code Origination Context: Filters the code it generates to ensure it is not sourced from non-permissive licenses.

This helps developers address compliance risks. Automated Language Upgrades: Converts and updates existing code into the current language version using newer libraries. This helps developers improve an application's performance and quality by leveraging the latest features of the language or framework used.

Code Analysis: Identifies bugs and inefficiencies and produces opinionated code based on an organization's software development practices. This helps developers deliver more rigorous code that is consistent with their proprietary codebase. OCI Optimization Suggestions: Incorporates suggestions from OCI service APIs, coding patterns, and best practices to help enable applications to run best on OCI.

This helps developers maximize utility and boost the efficiency of applications that run on OCI and use OCI services.