An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

AI can help build surprisingly capable apps—if you know how to steer it in the right direction. Follow my tips to save yourself time and frustration.

Here are 12 AI prompt templates professionals can use to write, plan, debug, analyze data, and get more useful output from AI tools.

GitHub data suggests AI coding assistants are starting to influence which programming languages developers choose.

Vibe coding is making programming more open to everyone, including both CEOs and everyday entrepreneurs who were previously unable to build a rough idea of an app or a website on their own.

Overview:  Python libraries help businesses build powerful tools for data analysis, AI systems, and automation faster and more efficiently.Popular librarie ...

GitHub’s Octoverse 2025 report reveals a "convenience loop" where AI coding assistants drive language choice. TypeScript’s 66% surge to the #1 spot highlights a shift toward static typing, as types ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Error logs and GitHub pull requests hint at GPT-5.4 quietly rolling out in Codex, signaling faster iteration cycles and continuous AI model deployment.

A Python library for interacting with the LandingAI Agentic Document Extraction REST API, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Overview:Programming languages with simple syntax allow faster learning and practical application for beginnersLow-level ...