Organizations must proactively manage developer risk through establishing a self-governance strategy—one that accounts for ...

Learn how to create apps without coding using AI. The presenter codes an entire app in minutes with an AI platform, saving time and money!

Built to close the gap left by try.NET, the free course gives developers a practical, interactive way to learn modern ...

In the SDLC, there should be no shortcuts. Developers must view AI as a collaborator to be monitored, rather than an autonomous entity to be unleashed.

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

An update from the Financial Accounting Standards Board concerning capitalizing software is on the way. The new pronouncement, ASU 2025-06, ...

The collaboration is designed to enhance cybersecurity competencies across the university community by supporting talent development and encouraging knowledge exchange ...

Know why operating software is a depreciating asset in 2026. As AI agents replace human operators, the "Skillset Shift" moves ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...

The learning pathway, housed within the Google Developer Program, aims to equip developers with hands-on expertise in building and deploying AI agents using the Agent Development Kit.

In the quest to get as much training data as possible, there was little effort available to vet the data to ensure that it was good.