Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.

In the race to build and release software faster, many organizations unintentionally overlook one critical aspect: security and process integrity within the Software Development Life Cycle (SDLC).

The no-code movement lets anyone build software without coding. Learn how no-code tools in 2025 enable fast, cost-effective, ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

AI is transforming software development, but training developers on AI ethics, security, and liability is critical to ...

Hey, I’m Anu Sharma, and I create content about AI, software engineering, development, no-code tools, and productivity. This ...

Contrast Application Security Testing (AST) is a runtime-driven security solution that detects and prioritizes ...

CT analysis of tablet microstructure reveals critical insights into disintegration and dissolution, driving improvements in ...

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...

For nearly two decades, outsourcing defined software development as a fast, cost-efficient way to access global talent and scale. By 2024, the IT outsourcing market exceeded $512 billion, with ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...