Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

Milestone release of Microsoft’s C# SDK for the Model Context Protocol brings full support for the 2025-11-25 version of the MCP Specification.

Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

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

OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.

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

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...

Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond idealized motion to show how air resistance affects trajectories, velocity, and ...

Artificial intelligence is entering the era of self-improvement. On Thursday afternoon, OpenAI released a new cutting-edge coding model that the company said assisted in its own creation.