AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
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Observability is a way for development teams in an organization to view their program state. Failing to provide developers with insight into their tools and processes could lead to unaddressed bugs and even system failures. Read about the latest observability content here
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In the past, the CI/CD pipeline was simply a place to integrate code. Developers would write their code in GitHub, pass it through the pipeline, and then deploy it. The pipeline has become a much more critical piece of the software delivery lifecycle today.
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Modern cloud-native applications, often leverage microservices, containers, APIs, infrastructure-as-code and more to enable speed in app development and deployment
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Data is the information that drives business. It can be structured in rows and columns, like a customer name, address, and phone; and it can be unstructured, such as an email or a social media post.
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Are TuringBots Up for the AI Autonomous Testing Challenge?
Join Forrester’s Diego Lo Guidice to learn about the transformative power of AI in the software development lifecycle
Dec 6th at 10am CST
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Mobile App Testing involves analyzing mobile apps for functionality, usability, visual appeal, and consistency across multiple mobile devices. It helps ensure an optimal user experience, irrespective of the device used to access the app.
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Today’s distributed software environments incorporate a variety of APIs with every interface your software touches, from mobile to microservices. Each API has to be continuously tested and verified to ensure your software functions as it should. Parasoft’s API testing platform makes quick, efficient, and intelligent work of such requirements.
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Ensure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)
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DevSecOps is the DevOps community’s approach to bringing security into the development lifecycle. Businesses want to deliver software, but cannot afford to release unreliable or insecure applications— therefore security needs to be baked in much sooner than it has traditionally been.
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Securing an application is just as important as building it in the first place. As data becomes more valuable, there are more people who want to steal it and use it for their own personal gain. Making sure applications are indeed secure has always been a challenge, as hackers try to stay one step ahead of defenders.
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In 2023, there was an 18% decline in the number of open-source projects that are considered to be “actively maintained.” This is according to Sonatype’s Annual State of the Software Supply Chain Report.
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Development Managers need a different type of content than developers… They need to know what platforms, tools, trends, and issues they should be thinking about. SD Times delivers those unique topics here
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Agile software development has been around since the 1990s, but didn’t get the name until the famous meeting of 17 renowned software development thought leaders at Snowbird, Utah resulted in an Agile Manifesto. The idea behind Agile software development is to reduce time to market by enabling faster iterations of smaller segments of software.
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Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
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DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development and IT operations as a means for improving and shortening the systems development life cycle.
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Microservices define the latest iteration of a service-oriented architecture, under which applications are not written as a monolith but are built by joining discreet components — bits of functionality, called services — via application programming interfaces (APIs).
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AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
Learn More
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
Learn More
Microsoft Build 2023, the annual conference aimed at engineers and developers using Windows, Microsoft Azure, and other Microsoft technologies, kicked off this morning and there have been several announcements made.
An expansion of the AI plugin ecosystem
Microsoft’s Copilot ecosystem has been expanded to include Copilot in Power BI and Copilot in Power Pages in preview; Copilot in Microsoft Fabric, which is set to become available in preview soon; and Windows Copilot, which will start to become available for preview in June.
Additionally, new features were introduced that are geared at helping developers construct their own copilots and next-gen AI applications. Among these capabilities are plugins that help to get the most value out of copilots by allowing them to interact with other software and services.
Plugins for Microsoft 365 Copilot
This release is intended to increase extensibility and allow every developer to integrate their apps and services into Microsoft 365 Copilot. This allows users to have a wider reach and meet customers where they work.
The three plugins included in this release are: ChatGPT plugins, Teams message extensions, and Microsoft Power Platform connectors. This allows developers to utilize the existing software, tooling, investments, and skills.
“Customers in the Microsoft 365 Copilot Early Access Program will have access to more than 50 plugins from partners including Atlassian, Adobe, ServiceNow, Thomson Reuters, Moveworks, and Mural,” Microsoft wrote in a blog post. “Thousands of additional line-of-business and third-party plugins will be enabled in the coming months as we integrate existing Teams message extensions and Microsoft Power Platform connectors with Microsoft 365 Copilot.”
Microsoft Fabric introduced to provide data analytics for AI
Microsoft Fabric is an end-to-end unified analytics platform that combines all of the data and analytics tools necessary for organizations through an integration with technologies such as Azure Data Factory, Azure Synapse Analytics, and Power BI.
The company stated that bringing these together into a unified product enables both data and business professionals to access the full value of their data and be better prepared for the era of AI.
Fabric is lake-centric and open, powered by AI, available for every business user, and has the potential to cut down on costs with unified capacities.
Microsoft Dev Box general availability coming in July
Microsoft Dev Box is a self-serve, ready-to-code, cloud-based developer workstation that can work for teams of any size. The tool has already been deployed internally to over 9000 engineers in the Developer Division, Azure, Office, Bing, and Windows teams.
According to Microsoft, they have been working with users like General Motors, National Instruments, and their own internal platform engineering team 1ES throughout the private and public previews.
“Last year we partnered with General Motors to help move their software development to the cloud. Listen to how Microsoft Dev Box has helped General Motors, where the need for speed is critical, get their products to market faster,” Microsoft wrote in a blog post.
AI is being included in Windows 11
With this, Windows Copilot has been introduced, offering centralized AI assistance with Windows 11. The company stated that this is geared at helping users more easily take action and get things done.
Bing Chat plugins has also been extended to Windows, allowing developers to integrate their applications with Windows Copilot in order to gain more engagement on native Windows applications.
Microsoft introduced Hybrid AI loop to support AI development across the platform, and across Azure to clients with new silicon support. Lastly, with Dev Home developers can access heightened productivity on Windows with features such as WinGet configuration.
To learn more, visit the website.
AI, Microsoft, Microsoft 365
Katie Dee is the Online and Social Media Editor for SD Times and ITOps Times. She is also a lifelong dancer and enjoys taking dance fitness classes in her free time.
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