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

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.

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

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

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

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

ETH Zurich tests AGENTS.md and context files on 438 tasks, finding developer-written notes raise performance about 4% while increasing spend ...

AMD's VP of AI software vibe coded the driver entirely using Claude Code, but it's meant for testing, not for deployment to ...

Explore 5 useful Codex features in ChatGPT 5.4 that help with coding tasks, project understanding, debugging, and managing ...

Automation and AI are changing PPC roles. Winning teams now control data infrastructure, measurement, analysis, and experimentation.