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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Simple sabotage for software

Erik Bernhardsson

You can of course make a series of obviously bad decisions, but you'd get fired quickly. Technology When joining, require a 6-18 months rewrite of core systems. Make sure production environment differs from developer environments in as many ways as possible. Develop incredibly detailed “strategic” plans.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

But the partnership seeks to go beyond Cognizant’s internal use, with Microsoft and Cognizant teaming up to promote generative AI use across Cognizant’s global client base through the advisory and digital transformation services arm of Cognizant’s business.

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Generative AI: the Shortcut to Digital Modernisation

CIO

As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. Generative AI can help businesses achieve faster development in two main areas: low/no-code application development and mainframe modernisation.

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When your AI chatbots mess up

CIO

The firm admitted that it “failed to believe that a piece of technology could be making up cases out of whole cloth.” Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete. AI systems can also overlook complex bugs or security issues that only a developer would catch and resolve.