Mistral AI has launched Mistral Medium 3.5, a 128-billion parameter dense model with a 256,000-token context window, alongside two features designed to turn its Le Chat interface into a full developer ...

French artificial intelligence startup Mistral AI is jumping into the vibe coding market with the launch of Devstral 2, a new model that’s built specifically to handle advanced coding tasks. Announced ...

Cursor has for the first time introduced what it claims is a competitive coding model, alongside the 2.0 version of its integrated development environment (IDE) with a new feature that allows running ...

Meta has announced an early beta of Muse Code, a new coding agent meant to compete with Anthropic's Claude Code and OpenAI's ...

Local AI has advanced enough to almost feel like a life hack. You can brainstorm, analyze complex documents, generate and run complex code on your machine and derive insights that aid important ...

Cursor’s new Composer model, built for low-latency agentic coding, completes most iterations in under 30 seconds, according to Anysphere. Anysphere has introduced Cursor 2.0, an update to the AI ...

The integration of OpenAI’s Codex with Ollama introduces a compelling way for developers to access AI capabilities directly on their local machines. Codex, known for automating coding tasks and ...

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 ...

Engineering teams building agentic coding pipelines now have a concrete open-source alternative to managed models like Claude Fable 5 — one that runs on a single H100. The tradeoff: Cohere's North ...

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...