article thumbnail

ChatGPT for Developers: Key Use Cases in Software Development

Apiumhub

Communication between technical and non-technical stakeholders can indeed be a significant challenge in software development. Stakeholders such as project managers, business analysts, and customers may not possess the same technical proficiency as developers.

ChatGPT 73
article thumbnail

GitHub CI/CD tutorial: Setting up continuous integration

CircleCI

For our exercise, minimal knowledge of the framework is necessary. When working in Python, it is strongly advised that you use a virtual environment. Stanley is a Software Engineer and Technical Copywriter who has worn several hats, including technical team leadership and community engagement leader.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Rethinking the IT talent pipeline

CIO

Amanda Merola had zero technical background when she came to The Hartford in 2015, despite a natural interest in computers and a proclivity for problem-solving. You used to be able to buy people or rely on the education system to pull people through so there was a ready supply of trained technical people.

article thumbnail

Product Development Workshop: Types, Key Aspects, and Best Practices

Altexsoft

Applying collaborative exercises helps teams collect the information they need for making smart decisions. Prioritization exercises help the group understand the persona’s needs. For example, you can brainstorm your persona’s needs using an exercise known as 20/20 Vision. UX strategy canvas template, Source: UX studio.

article thumbnail

Chaos Engineering and Continuous Verification in Production

LaunchDarkly

Moreover, he explained how Continuous Verification can help software engineers avoid such pitfalls. So, your customers are paying you for complexity, like that’s as one way to view your job as a software engineer is you’re adding complexity to a product. So, how does this model apply to software?

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 141