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 MoreObservability 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 hereLearn MoreIn 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.Learn MoreModern cloud-native applications, often leverage microservices, containers, APIs, infrastructure-as-code and more to enable speed in app development and deploymentLearn MoreSponsored By:Always On, Always FastDeploy Distributed PostgreSQL in just 90 SecondsLearn MoreAre 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 lifecycleDec 6th at 10am CST Register HereMobile 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.Learn MoreToday’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.Learn MoreEnsure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)Learn More 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.Learn MoreSecuring 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.Learn MoreIn 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.Learn MoreDevelopment 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 hereLearn MoreAgile 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.Learn MoreValue 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 MoreLearn MoreDevOps 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.Learn MoreMicroservices 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).Learn MoreAI, 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 MoreValue 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 MoreSalesforce has announced a new set of low-code tools to enable its customers to easily and quickly embed AI into their customer relationship management (CRM) applications. The new platform, Einstein 1 Studio, builds on Einstein Copilot, which is the company’s generative AI solution. The Studio includes three main components: Copilot Builder, Prompt Builder, and Model Builder.Copilot Builder allows users to create custom AI actions for different tasks. It provides access to use familiar tools like Apex, Flow, and Mulesoft APIs so that AI actions can be completed within the flow of work. Custom actions can be activated in any Salesforce application or external system.  Prompt Builder can be used to build AI prompts that can be reused across different experiences. For instance, a user could build a button that enables a contact center agent to get an overview of all of a customer’s escalated cases in just one click.Model Builder provides the ability to build or import AI models. Customers can either use its low-code interface to build their own AI models that are trained on their cloud data, or integrate with existing models from Amazon, Anthropic, Azure OpenAI, Cohere, Databricks, Google Cloud, and OpenAI. Einstein 1 Studio also introduces the Einstein Trust Layer, which is a collection of features to enforce security on generative AI, such as data masking and audit trails. “Customers have always loved how easy it is to customize Salesforce. Our new Einstein 1 Studio makes it easy for admins and developers to build and customize Einstein Copilot and embed AI apps in the flow of work within Salesforce, tailored to the specific requirements of their company and industry,” said Clara Shih, CEO of Salesforce AI. “Built on our Einstein 1 Platform and unified by metadata that safely connects and unlocks data from across an enterprise, Einstein 1 Studio’s low-code tools democratize AI app development, unleashing a new wave of innovation that will transform workflows and augment human capabilities across every team and function.” AI, low code, Salesforce Jenna Barron is News Editor of SD Times. She covers Microsoft, data, programming languages, and UI frameworks and libraries. She likes tabletop gaming, climbing, and knitting. Ready to subscribe to SD Times? It's just a click away!Subscribe