AMD's VP of AI software vibe coded the driver entirely using Claude Code, but it's meant for testing, not for deployment to ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Overview: Frontend development focuses on user experience, while backend development powers systems, databases, and security.Artificial intelligence and cloud c ...

Unified data-to-model lifecycle secured by the new Red Hat AI Python Index. This trusted repository delivers hardened, enterprise-grade versions of critical tools—including Docling, SDG Hub, and ...