Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

SlimToolkit helps shrink Docker images safely, keeping only required files to improve performance, speed, and storage efficiency.

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

Effortless Data Entry: With its clean and intuitive interface, Data Entry WebApp ensures a smooth data entry experience. Users can quickly input information like names, genders, emails, addresses, and ...

Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, and monkey patches.

Abstract: Model checking is a fundamental technique for verifying finite state concurrent systems. Traditionally, model designs were initially created to facilitate the application of model checking.

A Numba-accelerated Python library for simulating two-dimensional Lagrangian particle transport in idealized semi-enclosed ocean basins using Bell's incompressible flow field. This is an idealized 2D ...