In this contributed article, Cory Hymel, VP of Research & Innovation at Crowdbotics, discusses why we need to think bigger about AI’s role in software development. The growing capabilities of AI models, particularly large language models, have the potential to fundamentally disrupt the software development lifecycle (SLDC).
Shreds.AI Launches an AI Capable of Generating Complex Software
Shreds.AI, an AI capable of generating complex, business-grade software from simple descriptions in record time, today announced its formal beta launch. Shreds.AI slashes the time to market for software, along with team sizes and costs, by over 80% compared to traditional software development methods. It also solves the software obsolescence problem, increases software lifespan by more than 60% with automatic maintenance and makes it easy to switch software technology, for example, from PHP to Java, from C++ to JavaScript, etc.
Evolution of AI in Software Development: Shifting from Co-pilot to an Autopilot
In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.
Generative AI: Redefining the Economics of Software Development
Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, “Generative AI: Redefining the Economics of Software Development,” from our friends at SoftServe shows Open AI’s Generative AI can increase productivity for development teams across the SDLC (software development life cycle) by up to 45%.