Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

Quantum computing has attracted attention for years, but for most developers it has felt distant and impractical. By making its development kit open source and integrating it with widely used tools ...

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...

On Friday, OpenAI engineer Michael Bolin published a detailed technical breakdown of how the company’s Codex CLI coding agent ...

A hands-on test compared Visual Studio Code and Google Antigravity on generating and refining a simple dynamic Ticket Desk ...

Robin Rowe talks about coding, programming education, and China in the age of AI feature TrapC, a memory-safe version of the ...

by Kieran Klaassen in Source Code Kieran Klaassen, the general manager of Every’s AI email assistant Cora, coined the term compound engineering—the practice of using AI agents to build software ...

On the Humanity’s Last Exam (HLE) benchmark, Kimi K2.5 scored 50.2% (with tools), surpassing OpenAI’s GPT-5.2 (xhigh) and ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Move to skill-based CLI setups where each .md skill adds just 10–50 tokens, giving you thousands of integrations without ballooning context.

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