IBM watsonx™ Code Assistant for Red Hat® Ansible® Lightspeed demystifies the process of Ansible Playbook creation through generative AI-powered content recommendations. Purpose-built to accelerate IT Automation, the product is designed to deliver automation content recommendations for an enhanced Ansible experience.
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Serenade.ai
Score 10.0 out of 10
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Serenade.ai is an AI code generation tool that offers code with voice functionality, enabling users to write code using natural speech. Serenade's speech-to-code engine is designed for developers from the ground up and fully open-source.
I would recommend for understanding your Mainframe components not for the GenAI piece involved from just my experience. The explanations were not up to the quality we wanted but its deterministic side provided a lot of value for different members of my team. The visuals would be great. I am not sure where it currently stands
I've met several engineers who have temporarily lost their ability to use the mouse / keyboard. But its more than an accessibility tool. Being able to simply say "Refactor this method to iterate over the collection as a collection of promises and await all promises after the iteration."... and then get that done, was amazing.
It can automatically revamp specific parts of the COBOL code and very useful when we want to maintain the existing codebase but improve its structure. I can highlight a block of COBOL code and use Watsonx Assistant to suggest ways to simplify and optimize it.
Legacy codes, mostly written in COBOL, are cryptic and difficult to understand. Watsonx Assistant analyzes the code and provides insights into its functionalities and dependencies. A great help when working on older applications where understanding the codebase is crucial.
A step-by-step approach to modernize our applications slowly and steadily, so that we can control the process better. I don't have to change everything at once. Instead, I can focus on specific COBOL modules and automatically convert them to Java.
The voice recognition takes some getting used to. Just like using a new keyboard, you get used to what you need to over-enunciate or be really clear on. Being able to train the model / interpreter they are using on my voice, tonation, dictation, accent, etc would be a major benefit.
Having to have a clear picture in your head about the code you want to write is a mental challenge. But this is more of a challenge of the process than the application. I found littering the code I wanted to refactor with #todo comments and then asking Serenade.ai to implement the series of comments to be the best method of planning and then implementing the code.
Security is very important in the mainframe world. At Watsonx, we work in the trusted Z environment, which has strong security rules, stricter than those of other cloud-based solutions. My domain is primarily mainframe modernization and Watsonx Code Assistant for Z is specifically used to understand and work with COBOL, the language used majorly in mainframe environments, not any general-purpose language that used in various platforms. It understands the nuances of COBOL and Assembler specific to the Z environment, something crucial for my work.
Until very recently, there was nothing on the market which allowed you to code with voice with the accuracy that Serenade.ai provided. Even now there is nothing that I'm aware of that allows you to interface with your ENTIRE PC/Mac with your voice.
While manual review and adjustments are still needed, it's a 50-70% reduction in manual coding. Think about it - a project estimated to take a year is done in 4-6 months.
We've been able to introduce new features and improvements more quickly by updating our technology faster. One relevant example is we recently released an important update to our main product 45 days earlier than planned.
It has been a smart move and it's really paid off for our company. We've cut down a lot of time we used to spend doing things manually. We now spend our resources more wisely, work faster and finish projects sooner and as a result, we've reduced our development costs by 25%.
I was able to continue my engineering position, earning salary, without taking disability until after my surgery. During that time I was able to continue to participate.
