The Alma-Ata ‘Health for All’ Declaration of 1978 emphasised community participation in health systems and the need to ‘bring ...

Discover how connecting make and test workflows can accelerate drug discovery by improving decision-making across the DMTA ...

Learn how to overcome purification bottlenecks in modern drug discovery with advanced purification strategies, streamlined ...

The cloud giant is embedding cross-functional teams of engineers, scientists and strategists with customers, with ...

Spec-driven development is quietly changing how embedded engineers work with AI coding agents. If you have handed a coding agent a prompt, you know the failure mode. The code compiles. It looks right.

Let's not beat around the bush. Most embedded engineers believe they can't test their firmware until the hardware shows up. The board is on backorder, the bring-up team is still fighting the power ...

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code ...

As AI coding agents grow more capable, a structural problem has emerged: speed without clarity. Developers generate working code in minutes, only to discover days later that it doesn’t match what the ...

Whether they are competing approaches or complementary, there are good ways to incorporate both these AI-based methods into developing resilient applications. Vibe coding and spec-driven development ...

Most engineering teams today say they’ve adopted AI coding tools like Cursor, GitHub Copilot and Claude Code. The tools are installed, subscriptions are active, and developers are using them daily.

Autonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development. There’s a moment ...

AI-assisted coding has changed software development faster than most developers expected. In just a short time, many developers went from experimenting with prompting an AI to generate small snippets ...