article thumbnail

Devs gaining little (if anything) from AI coding assistants

CIO

Coding assistants have been an obvious early use case in the generative AI gold rush, but promised productivity improvements are falling short of the mark — if they exist at all. Many developers say AI coding assistants make them more productive, but a recent study set forth to measure their output and found no significant gains.

article thumbnail

AI coding assistants wave goodbye to junior developers

CIO

Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the software development roles, including security and compliance reviews, he predicts. “At

article thumbnail

Xebia’s Latest GitHub Copilot Survey

Xebia

Our Latest GitHub Copilot Survey We at Xebia strive to stay current with the latest advancements in AI tools to build robust and durable solutions for our clients. Many of us employ a variety of Code Assistants to speed up our software output and optimize our products. Among the most popular code assistants we use is GitHub Copilot.

Survey 130
article thumbnail

Doing Diligence Well In Venture Investing: Going Back To The Future

Crunchbase News

By Nicolas Sauvage Due diligence has made a comeback. On an average deal, VCs would spend 118 hours on due diligence and call 10 references. The assumption was often that someone else had already done the diligence. With that, high-quality diligence has returned, and it is both art and a science.

article thumbnail

TechCrunch+ roundup: Crypto tax prep, no-code survey, 4 VCs discuss how to pitch them

TechCrunch

Performing due diligence is critical, but it won’t give you all the information you need to approach a VC. Likewise, one investor may ask to review your deck in detail; another may prefer a probing one-on-one conversation. Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription.

article thumbnail

The hardest part of building software is not coding, it’s requirements

CIO

With all the articles about all the amazing AI developments, there’s plenty of hand-wringing around the possibility that we, as software developers, could soon be out of a job, replaced by artificial intelligence. Coding can be a challenge, but I’ve never spent more than two weeks trying to figure out what is wrong with the code.

article thumbnail

Survey Surfaces Increasing Reliance on AI to Develop Software

DevOps.com

AI is already being used in code writing, code review, quality assurance/testing, debugging and design and architecture, according to a recent survey.