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 ...

Four Hartselle High School students have developed a new app focused on severe weather preparedness, designed to provide real-time storm shelter information to local residents. Cole Miles, Lachlan ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Obtaining a geocoding api key marks the starting point for any location-based feature development. The process should be simple, but varies dramatically ...

OpenAI’s Codex Security enters research preview, aiming to help teams find, validate, and patch code vulnerabilities with ...

Claude Code Security spooked investors but misses the bigger problem. The real risk to enterprises is in SaaS integrations ...

OpenAI has launched Codex for Open Source, offering maintainers six months of free ChatGPT Pro and API credits amid a surge of AI-generated pull requests.

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

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

I'm taking the road less traveled.

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