Bear This News

BearThisNews

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Despite Layoffs, In-Demand Skills Persist in Tech
Over 250,000 Tech Employees Laid Off, 23,000 Development Vacancies Remain
Despite over 250,000 tech layoffs in the past year, more than 23,000 development positions are still available, highlighting the persistent demand for software engineering and quality assurance skills. Layoffs were often due to re-prioritization efforts, and the skills gap remains urgent. The report suggests companies refine their design and development processes to address the ongoing demand for developer talent.
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SD Times Open-Source Project of the Week: Dify.ai
Dify.AI: A Platform for Generative AI Applications
Dify.AI is an open-source platform supporting model neutrality, enabling developers to use any LLM. It facilitates easy integration with existing workflows through its API, promoting quick data sharing and workflow automation. Developers can make direct code changes, enhancing service integration. The platform includes a built-in Retrieval Augmented Generation (RAG) engine, visual UI, prompt IDE, and continuous monitoring of application logs.
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OMG Launches New Communities for Technological Resources
Object Management Group (OMG) Introduces Managed Communities Program
OMG introduces the Managed Communities Program to provide support and insights for its members. The first community, OMG Systems Modeling Community (SMC), focuses on Model Based Systems Engineering (MBSE), offering guidance on OMG standards like SysML v2 and UAF. The initiative aims to simplify processes, eliminate industry barriers, and foster a community of experts.
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Analyst View: 5 Actions for Software Engineering Teams to Leverage AI
Strategic Actions for Integrating AI in Software Development
An analyst suggests five key actions for software engineering teams to leverage AI effectively. These include using generative AI for coding, deploying it as an app modernization tool, utilizing AI to explain and measure technical debt, meeting user expectations for AI-powered products, and integrating AI across the software testing life cycle.
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