InfoWorld

Four cutting-edge tools for spec-driven development

Kiro, Spec Kit, Tessl, and Zenflow offer a more systematic and structured approach to developing with AI agents than vibe ...

TestMu AI Introduces Test.md, an Agent-Native Test Framework for Kane CLI

TestMu AI Introduces Test.md, an Agent-Native Test Framework for Kane CLI . The new framework enables replayable, human- and ...

Will Your AI-Built Apps Actually Work? Four Steps Every Enterprise Must Take

​AI can generate code, but it isn’t sufficient on its own to test it. Paired with stronger QA practices that ensure ...
Hosted on MSN

Transitioning from AP CSP to Modern Web Development with a 2026 JavaScript Roadmap

Finishing AP Computer Science Principles is a major milestone, but the leap from block-based coding to real-world JavaScript can feel daunting. Fortunately, the landscape has evolved: Code.org has ...

Testkube Redefines Testing for the AI Era with Testkube AI, while Deepening its Commitment to Open Source and Enterprise Teams

New AI capabilities at the core, a new viewer for open source users, and a new path for enterprise procurement. BOSTON, ...
InfoQ

GitHub Enhances CodeQL with Declarative Security Modeling for Faster, More Flexible Analysis

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...
IEEE

Retail Resilience Engine: An Agentic AI Framework for Building Reliable Retail Systems With Test-Driven Development Approach

Abstract: System reliability and operational resilience are two critical success factors in the retail industry that are directly connected to customer satisfaction and business sustainability.