AI engineering builds on established software engineering principles, but it also introduces a host of new challenges.

Tabnine’s Enterprise Context Engine gives AI quality and testing agents system-level understanding of enterprise software environments, making agentic AI accurate, safe, and effective across complex ...

Engineering leaders have always known the cost of maintaining and securing dead or unused code is expensive. What’s changed is who pays the bill.

For example, our own research of 820 IT professionals worldwide found that while 77% have confidence in AI outputs, only 39% ...

The new SnapGPT evolves from an AI-powered integration copilot into an agentic assistant for the integration life cycle.

The teams winning with AI agents right now share one trait: they stopped treating security at the end of the pipeline, but as ...

Veracode’s 2026 GenAI Code Security Report finds AI-generated code security has stalled at a 56 percent pass rate — with ...

To be more specific about what forward-deployed engineers do and how they help enterprises, it’s useful to break their work process down into the key steps.

The BellSoft Hardened Images builder improves security and compliance for users of the open-source Paketo Buildpacks project ...

Understanding why traditional semantic layers fall short in the AI era requires looking at how AI interacts with enterprise data.

Nissy works in two key ways: checking your intent before code is created, and checking all the actions the agent carried out.