In this blog, Ricky Severino, a recent computer science graduate from The American University, shares perspectives gained from his internship at Agile Stacks.
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Topics: Cloud, Cloud Computing, Cloud Services, code collaboration, Automation, DevOps Automation, Machine Generated Code, AWS, Machine Learning, Higher Education, Infrastructure Automation, Kubernetes
Graphical programming—or low-code/no-code programming—is excellent for education. When you’re trying to get an 8-year-old to understand programming logic and what software development can accomplish, the ability to create something concrete without spending months learning a programming language or debugging typing or syntax errors is powerful.
When you’re trying to develop a business application, one that has specific, pre-defined business logic associated with it, graphical programming will usually only get you 90% of the way there. When we’re talking about a business application, that isn’t enough. And in most graphical programming platforms, going from 90% to 100% is exceptionally hard.
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Topics: Application Composition, Business Agility, Enterprise Applications, Enterprise Software, PaaS, Reducing Costs of IT, software development, DevOps First, Full Stack Deployment, DevOps Automation, Machine Generated Code, Infrastructure Automation
Every school’s goal is to give students an advantage in the professional world. No matter what subject they teach, university professors squeeze as much information as possible into a short semester to create intellectual value. For computer science, this is most obvious in the global race for artificial intelligence (AI) talent. According to Forbes, “The countries pushing AI forward have ready access to qualified professionals. They have also developed university programs and AI curriculum to develop more talent. When it comes to emerging technologies, intellectual capital is a huge strategic advantage.”
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Topics: AI, CTO, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education