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 ...

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

Google introduces Gemini 3.1 Flash-Lite in preview via AI Studio and Vertex AI, promising faster responses and lower costs for high-volume apps.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

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

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

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 ...

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

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.

Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.