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OpenAI buys Python toolmaker Astral to bolster Codex vs. Anthropic
OpenAI has agreed to acquire Astral, a startup behind widely used Python development tools, in a deal designed to sharpen its Codex coding assistant as competition with Anthropic intensifies. The ...
Python is now one of the fastest-growing programming languages being used globally and supports machine-learning-based ...
UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...
OpenAI Group PBC today announced plans to acquire Astral Software Inc., a startup with a set of widely used Python development tools. The terms of the deal were not disclosed. Astral’s development ...
What if the coding assistant you choose could make or break your workflow? With the rise of AI-powered tools like Claude Code and ChatGPT 5 Codex, developers are now navigating a landscape where their ...
What if you could automate the most tedious parts of coding while maintaining full control over your projects? André Mikalsen breaks down how Auto Claude, a free and open source AI coding assistant, ...
GitHub data suggests AI coding assistants are starting to influence which programming languages developers choose.
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AI coding assistants are getting worse
In recent months, I’ve noticed a troubling trend with AI coding assistants. After two years of steady improvements, over the course of 2025, most of the core models reached a quality plateau, and more ...
As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...
The practice of 'vibe coding', which heavily depends on AI for software generation, is facing criticism due to potential hidden flaws in the produced code.
ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...
AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...
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