Articles

OpenAI has recently admitted to a data breach, sparking concerns about AI ethics and transparency. The company claims it was an accident, but experts are questioning their motives.

Discover how to eliminate security risks in your CI/CD pipeline by implementing OIDC authentication between GitHub Actions and AWS.

Discover how OpenAI's agentic primitives solve common challenges in AI development, enabling more reliable and efficient long-running agents.

Get a comprehensive understanding of OpenAI's Codex coding platform, including its setup, usage, pricing, and adoption in an enterprise environment.

Entity-relationship modeling is a powerful technique for designing databases. In this article, we'll apply ER modeling to create a comprehensive database design for an online flight reservation system.

The Riemann Principle, a fundamental concept in mathematics, has far-reaching implications for the development of artificial intelligence. Its application in AI safety is crucial for mitigating risks and ensuring the reliability of complex systems.

AI agents excel at editing files, but when it comes to managing definitions, references, and types, traditional tools like grep fall short. Introducing Locus, a lightweight MCP server that fills this gap.

A revolutionary AI-powered tool has made video editing faster and easier than ever before, eliminating the need for complex timelines and keyframes.

The author finds a cost-effective AI model on OpenCode GO, exploring the possibilities of affordable AI solutions.

Airlock offers a secure way to run untrusted code by creating a disposable, hardened sandbox. This allows for safe npm installs and other operations without compromising the main system.

The rise of AI-powered code generation tools has significantly improved development speed, but it also raises concerns about code security. Developers must learn to balance speed and safety by incorporating secure coding practices and code review into their workflow.

Enterprise systems often begin as monoliths, but as they grow, they need to become distributed to scale. Low-code development can facilitate this transition without the need for a complete rewrite.