Abstract: Integrating Artificial Intelligence (AI) into the Software Development Life Cycle (SDLC) has become necessary to enhance efficiency, scalability, and performance in modern software systems.

The shift toward software-defined vehicles (SDVs) will receive a massive boost through the implementation of generative AI (GenAI) across many areas of automotive technology. The effects will be ...

For all the scary talk about cyberattacks from vendors and industry experts, relatively few attacks are actually devastating. But the Jaguar Land Rover (JLR) attack was. The JLR breach wasn’t some ...

Recent supply-chain breaches show how attackers exploit development tools, compromised credentials, and malicious NPM packages to infiltrate manufacturing and production environments. Acronis explains ...

What happens when the tools we use to create software evolve faster than the methods we rely on to manage them? This isn’t just a hypothetical question, it’s the reality developers face as AI-powered ...

To deploy AI tools securely and ethically, teams must balance innovation with accountability—establishing strong governance, upskilling developers, and enforcing rigorous code reviews. At this point, ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

In software development, agentic AI is all about achieving economies of scale that were impossible before. There’s no denying its value. However, when AI is implemented in silos with minimal oversight ...

Generative AI has unquestionably increased raw coding velocity as part of the software development lifecycle (SDLC). Tools can churn out syntactically correct boilerplate, REST endpoints, and data ...

In this rapidly modernizing age, where customers’ expectations have never been higher, companies must accelerate the Software Development Life Cycle (SDLC) to remain competitive. Simply increasing ...

AI-powered coding agents are now real and usable. Indeed, coding agents are all around us, touching on every aspect of the software development life cycle, and recently InfoWorld outlined 12 of the ...