Learn the right VRAM for coding models, why an RTX 5090 is optional, and how to cut context cost with K-cache quantization.

Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...

If you can't trust your AI agents, they're a liability, not an asset. Give them small tasks they can execute perfectly, adopt ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Anthropic PBC today debuted its newest large language model, Claude Sonnet 4.5, and a toolkit for building artificial intelligence agents. The company describes the LLM as the world’s best coding ...

Tech CEOs are making ambitious claims about AI's coding capabilities. In March, Anthropic CEO Dario Amodei said "we'll be there in three to six months — where AI is writing 90% of the code." Meta's ...

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems ...

ZDNET's key takeaways Different AI models win at images, coding, and research.App integrations often add costly AI subscription layers.Obsessing over model version matters less than workflow. The pace ...

AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.

Alexandr Wang, the company’s AI chief, said the new model will debut soon, along with a large language model dubbed Avocado.