Urgent.News

One page, thousands of outlets. See who else covered it.

Editions

AI

What does an agentic SDLC actually look like?

Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase.

We haven't written up this one. Stack Overflow Blog has the full story — the link below goes straight to it.

Read the original at stackoverflow.blog →

More in AI

Why I Chose Text Classification Tagging APIs: OpenAI, Claude, Gemini JSON Accuracy

Short answer: for an e-commerce backend that scores job candidates against a rubric, I would choose the simplest API that can hold a JSON contract, expose cost per tenant, and let the team change…

  • OpenAI, Claude, and Gemini offer strong classification models for job candidate data.
  • Performance varies with malformed input, impacting system SLO reliability.
  • Infrai provides portable, provider-agnostic API integration with consolidated billing.
From paddy fields to small shops, Malaysia maps an inclusive AI future

From paddy fields to small shops, Malaysia maps an inclusive AI future

For years, artificial intelligence was framed as a technology for companies with deep pockets: banks with large data teams, manufacturers with automated lines, or global platforms sitting on oceans of customer information. Malaysia’s latest AI agenda is trying to challenge that assumption.

More from Tuesday 18 August →