SDLC wasn’t built for the era of AI. Its rigidity, fixed assumptions, and built-in constraints come at a cost.

With the persistence of security issues in software development, there is an urgent need for software development companies to prioritize security in the software development life cycle. Apart from ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

The software development life cycle (SDLC) is the backbone of application development, providing a structured process to ensure quality, functionality and security. Traditional SDLC security ...

Agentic AI has made writing code trivial. We can expect it to improve the remaining 60% to 70% of the developer’s job as well ...

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 ...

Spec-driven development (SDD) offers a structured approach to AI-assisted coding by prioritizing detailed specifications before any code is written. Unlike “vibe coding,” which relies on iterative ...

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 ...

Speed is great, but can you trust code that builds itself? Architecture is now the secret sauce for keeping AI development safe, reliable and under control. For most of my technology career spanning ...