The evolution of software architecture is contributing to increasing energy consumption.

Companies that treat AI as a feature will fall behind those that rebuild their entire development process around it.

How Cloud-Native Engineering and AI Are Transforming Modern Software Security - Rajeev, your journey spans full-stack ...

By uncommon coincidence, perhaps, AI-first software code orchestration layer company Zencoder has now launched the Zenflow ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

One of the most common obstacles in software teams is the tendency to translate OKRs directly into task inventories.

For all the attention on AI-assisted development, from autocomplete tools to systems that generate entire repositories, the conversation remains focused on speed. Everyone is talking about faster ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

AI isn’t replacing engineers or SaaS - it’s augmenting them. AI makes the plumbing, testing, and iteration cycles faster and ...

Due to time-to-market pressure and resource constraints, mobile app developers are shipping code that’s under-tested and ...