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

Have an app you've always wanted to build? A humdrum task to automate? AI tools make it easier than ever, but they can be as ...

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 ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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

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 ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating ...

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 ...

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

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.

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 of change in the ...

A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...