Oracle Code Assist Can Help Developers Build Applications Faster with AI

May 8, 2024

AUSTIN, Texas, May 8, 2024 — Oracle has 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.

Oracle Code Assist code generation. Credit: Oracle.

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.

“Developers will be able to use Oracle Code Assist to quickly upgrade entire Java applications to newer versions. This ability to rapidly upgrade Java using a coding assistant significantly increases the ability of enterprises to improve application resilience and performance, incorporate the latest JDK features and bolster their security posture,” said Arnal Dayaratna research vice president, IDC. “Oracle Code Assist can also accelerate database upgrades with respect to the refactoring and testing of complex and often customized PL/SQL code, which can be time-consuming and quite expensive. Given the ubiquity of Java and databases in the enterprise, Oracle Code Assist is likely to achieve widespread adoption by prominent organizations globally.”

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.

“Custom applications are the method by which every organization differentiates itself globally, but building, deploying, and maintaining applications is labor and time intensive,” said Aanand Krishnan, vice president, product management, Oracle Cloud Infrastructure. “Organizations leveraging Oracle Code Assist can help developers increase velocity and code consistency to improve the long-term maintenance of applications in a safe, rigorous, and compliant manner.”

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.

Developers working at Oracle are actively using Oracle Code Assist today to build new Oracle products and services. It is planned to become available to Oracle customers in the future.

Join DevLive: Build with Data and AI on May 9, 2024, at Convene New York City to see Oracle Code Assist in action. Register today for the free event here.

About Oracle

Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.


Source: Oracle

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's latest weapon in the AI battle with GPU maker Nvidia and clou Read more…

ISC 2024 Student Cluster Competition

May 16, 2024

The 2024 ISC 2024 competition welcomed 19 virtual (remote) and eight in-person teams. The in-person teams participated in the conference venue and, while the virtual teams competed using the Bridges-2 supercomputers at t Read more…

Grace Hopper Gets Busy with Science 

May 16, 2024

Nvidia’s new Grace Hopper Superchip (GH200) processor has landed in nine new worldwide systems. The GH200 is a recently announced chip from Nvidia that eliminates the PCI bus from the CPU/GPU communications pathway.  Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of the last panels at ISC 2024 — the discussion was fascinat Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can uncover patterns, generate insights, and make predictions that Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top500 list of the fastest supercomputers in the world. At s Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance c Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire