Public sector modernization demands more than cloud migration. Drawing on two decades of enterprise architecture experience, ...

Scanning 5M apps uncovered 42K exposed secrets in JavaScript bundles, revealing major gaps in traditional SAST, DAST, and ...

For the end user, this update is seamless: Claude Code simply feels "smarter" and retains more memory of the conversation.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

AI-assisted coding and AI app generation platforms have created an unprecedented surge in software development. Companies are now facing rapid growth in both the number of applications and the pace of ...

The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. No home office? No problem. Gone are the ...

Kereva LLM Code Scanner is a static analysis tool designed to identify potential security risks, performance issues, and vulnerabilities in Python codebases that use Large Language Models (LLMs). It ...

SAN FRANCISCO, Nov 24 (Reuters) - Amazon suggested its engineers eschew AI code generation tools from third-party companies in favor of its own, a move to bolster its proprietary Kiro service, which ...

Opinions expressed by Entrepreneur contributors are their own. Most entrepreneurs use AI like a spellchecker and then wonder why nothing changes. In 2025, leverage beats hustle. I’ll walk you through ...

AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.

Mojang has dropped some huge news for Minecraft Java players - especially those that love to mod. While the modding scene is already thriving in Minecraft, it's not as accessible as you'd expect for ...

Abstract: Various static code analysis tools have been designed to automatically detect software faults and security vulnerabilities. This paper aims to 1) conduct an empirical evaluation to assess ...