AI startup Anthropic's claim of automating COBOL modernization sent IBM's stock plummeting, wiping billions off its market value. The decades-old language, still powering critical systems, faces a ...

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

Figure unveils Helix 02, the AI powering its most advanced humanoid robot yet, capable of completing complex, full-body tasks ...

No code, no problem ...

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

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

When an app needs data, it doesn't "open" a database. It sends a request to an API and waits for a clear answer. That's where FlaskAPI work fits in: building ...

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.