By exploiting how AI coding agents retrieve and verify plugins, researchers were able to execute malicious code even when the agent was told to use a trusted, approved version.

Anthropic’s move could reduce the maintenance burden of using multiple AI coding agents on a project — although it’s not without its complications.

A quiet tectonic shift occurring at the heart of finance, where not even a one-yen error is toleratedWithin the IT systems of financial institutions, the core banking system is the heart that demands ...

Artificial intelligence can make software. But not on its own. Give it a vision rooted in institutional knowledge, and the list of problems too expens ...

From Printed Matter to Web PagesScanning a QR code on printed material with a smartphone to open a web page. This is one of the ways QR codes are used, as introduced in materials from the European ...

AI coding agents can generate code quickly, but real gains require better documentation, testing, review, security, and ...

Artificial intelligence can make software. But not on its own. Give it a vision rooted in institutional knowledge, and the ...

Google is expanding Claude Opus 5 access for internal coding while keeping Gemini as its primary model, signaling a broader ...

The implication for enterprise engineering organizations is that AI adoption does not eliminate the cost of expertise; it ...

SSH is the best feature for remote development.

Identifying the next phase of software development as always-on agentic artificial intelligence, Atlassian plc today ...

Anthropic's Claude Code Projects redesign launches in public beta, turning its coding tool into a multi-agent orchestration ...