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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Windsurf
Score 8.6 out of 10
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Windsurf (formerly Codeium) is an AI dev tool that is self-hosted for security, with features including rapid code autocomplete, in-editor AI chat assistant, repo natural language search, end-to-end data encryption.
$15
per month for 500 prompt credits/month Equivalent to 2,000 GPT-4.1 prompts (4 prompts per credit)
Pricing
IBM watsonx Code Assistant Portfolio
Windsurf
Editions & Modules
No answers on this topic
Pro
$15
per month 500 credits/mo
Team
$30
per month per user (500 credits/user/mo)
Enterprise
$60
per month per user (up to 200 users & 1,000 credits/user/mo)
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
If you already have technical knowledge and understanding of coding, Windsurf could be a valuable platform to debug and rewrite code. It was helpful to me to expand coding, since I am not a traditionally programmer. I was able to enhance my base code and functionality much quicker than manually trying.
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.
Windsurf is a good tool for developers with more than basic coding skills. I would recommend it as a tool to quickly mitigate coding errors and issues. I did not take a deeper dive into the integrated extensions, but the library of extensions appear to be solid. An experience developer could quickly launch this platform, scan and test coding, and resolve issues quickly. I did not test this for larger code sets.
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.
Windsurf would be more comparable to GitHub Copilot or Perplexity to me. I think it's more of a pure code debugging line by line than some of the other tools listed above, however, they all have some capabilities to rewrite and test new coding. It boils down to what toolset you are most comfortable with. I typically will work with two platforms with the same issue to see how it is approached and the differences.
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%.