Artificial Intelligence Market Forecast, Trends, Scope by 2031

Artificial intelligence market is estimated to reach US$ 1,706.71 billion 2031 with insights on key drivers, competitive landscape, regional outlook, and growth opportunities

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Top .NET Blog Posts of 2025 - .NET Blog

Let's look back at the most-read .NET blog posts published in 2025, from .NET 10 to AI, performance, and developer tooling.

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025

The rise of AI agents is transforming how software can be built. The promise of agents is that developers might write code quicker, delegate multiple tasks to different agents, and even write a full piece of software purely out of natural language. In reality, what roles agents play in professional software development remains in question. This paper investigates how experienced developers use agents in building software, including their motivations, strategies, task suitability, and sentiments. Through field observations (N=13) and qualitative surveys (N=99), we find that while experienced developers value agents as a productivity boost, they retain their agency in software design and implementation out of insistence on fundamental software quality attributes, employing strategies for controlling agent behavior leveraging their expertise. In addition, experienced developers feel overall positive about incorporating agents into software development given their confidence in complementing the agents' limitations. Our results shed light on the value of software development best practices in effective use of agents, suggest the kinds of tasks for which agents may be suitable, and point towards future opportunities for better agentic interfaces and agentic use guidelines.

Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025

The rise of AI agents is transforming how software can be built. The promise of agents is that developers might write code quicker, delegate multiple tasks to different agents, and even write a full piece of software purely out of natural language. In reality, what roles agents play in professional software development remains in question. This paper investigates how experienced developers use agents in building software, including their motivations, strategies, task suitability, and sentiments. Through field observations (N=13) and qualitative surveys (N=99), we find that while experienced developers value agents as a productivity boost, they retain their agency in software design and implementation out of insistence on fundamental software quality attributes, employing strategies for controlling agent behavior leveraging their expertise. In addition, experienced developers feel overall positive about incorporating agents into software development given their confidence in complementing the agents' limitations. Our results shed light on the value of software development best practices in effective use of agents, suggest the kinds of tasks for which agents may be suitable, and point towards future opportunities for better agentic interfaces and agentic use guidelines.

AI-revolutie stuwt NAND-geheugen naar recordhoogte.

AI-hausse drijft Kioxia en NAND-geheugenmarkt naar recordhoogtes De exponentiële groei van AI-modellen veroorzaakt een ongekende vraag naar geavanceerd NAND…

Migliori mini PC (dicembre 2025)

I mini PC rappresentano un'ottima alternativa sia ai notebook, se già si dispone di un monitor, sia ai desktop, per chi cerca una soluzione compatta.