I am currently exploring the OCI service for areas such as the below, and will write a follow-up entry relative to my findings:
- Code generation and auto-completion: With generative AI, the potential to write code using AI to greatly speed up building extensions and integrations will be a game changer, much like how data scientists can now write R & Python code exponentially faster using ChatGPT like services, so can writing extensions and integrations become far less manual for you.
- More time could be spent on design, unit testing and other aspects versus manual development.
- Code refactoring & bug fixing: Asking the AI to code review, improve, make suggestions around implementation for custom code is something already available for high code programming languages like C#, Python, PLSQL and Java in tools like ChatGPT, and this can increase quality and reduce bugs.
- You can embed AI reviews to your peer review process, as well as during the build process to optimize performance and reduce logic errors.
- To help with KT’s when flexing with staff or when a developer is touching a code base they did not previously own, the developer can ask the AI service to explain logic, speeding up the learning process exponentially.
- Automated Test Generation: having the ability for the AI to generate test scenarios and test cases, in supported frameworks, based on the implementation and logic would save time and reduce defects.
- We can ask the AI to interpret code and suggest unit test scenarios and even build them (depending on the framework).
- Code comparisons: rather than using tools like Beyond Compare, to manually inspect differences in code bases, you can ask the AI to inspect it for you and produce a comparison report with intelligence built in (meaning, really explain what is different, not just highlight text differences).
- Code notation & summarization: imagine uploading code to the AI service and asking for a detailed implementation report with steps and explanations, and even a technical design and graphical support such as sequence diagrams.
- This would be very helpful for custom code where technical designs were not clearly documented or not documented at all (more prevalent now due to the Agile methodology putting less emphasis on documentation) and useful for onboarding new developers and support staff, for product delivery to hand off artifacts to operations, etc.
- The time savings from not having to write detailed technical designs would be fantastic, and in general to speed up any developer working on a case by asking the AI to summarize and explain sections of the code.
So, why Oracle since there’s similar services in the industry? I believe the Oracle services can have a competitive advantage because Oracle AI data models should yield higher accuracy with frameworks such as Oracle JET, Java, PLSQL, Fast Formulas, etc. since Oracle owns those frameworks and uses the AI service internally as part of their own DevOps processes, and the AI model could learn overtime as your developers utilize the service, and it would learn from usage, on top of Oracle’s tuning of the service over time. Lastly, it would be within your secure VCN and OCI environment, so privacy and security should not be a concern if you already have an OCI tenancy, and this is a major factor for many wishing to adopt Gen AI safely.
I think the usage of this, for the moment, is limited to high code frameworks such as Java, PLSQL, C#, Oracle JET (JavaScript), Python etc. but we would be very interested in extending the usability and benefits to middleware technology such as Oracle Integration, for the same reasons listed in this blog.
To that end, I have raised an Idea in Customer connect for the integration of the OCI Gen AI Service to Oracle Integration Gen 3 (OIC) going back to September of last year, so please support this idea over in Cloud Customer Connect by voting and commenting on it (Idea Number: 713448): Generative AI for OIC — Cloud Customer Connect (oracle.com) [community.oracle.com]
Stay tuned for my findings over the next few weeks, as I explore the Gen AI service for these use cases!
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