Visual Studio Code 1.109 introduces enhancements for providing agents with more skills and context and managing multiple agent sessions in parallel. Microsoft has released Visual Studio Code 1.109, ...
OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation speeds, signaling a major inference shift beyond Nvidia as the company faces ...
The module targets Claude Code, Claude Desktop, Cursor, Microsoft Visual Studio Code (VS Code) Continue, and Windsurf. It also harvests API keys for nine large language models (LLM) providers: ...
Three of the four vulnerabilities remained unpatched months after OX Security reported them to the maintainers.
This dynamic test added server-side logic, persistence across restarts, session-based admin auth, and a post-build refactor, going beyond static page generation. Both environments required repeated ...
This leap is made possible by near-lossless accuracy under 4-bit weight and KV cache quantization, allowing developers to process massive datasets without server-grade infrastructure.
Microsoft-owned GitHub continues to embrace OpenAI and Anthropic AI advances. Microsoft-owned GitHub continues to embrace OpenAI and Anthropic AI advances. is a senior editor and author of Notepad, ...
OpenAI has launched GPT-5.3 Codex offering a 25% speed increase over GPT-5.2 Codex, helping developers ship code faster.
AI model said to show improved reasoning capabilities If you want an even better AI model, there could be reason to celebrate. Google, on Thursday, announced the release of Gemini 3.1 Pro, ...
GPT-5.3-Codex-Spark is a lightweight version of the company’s coding model, GPT-5.3-Codex, that is optimized to run on ultra-low latency hardware and can deliver over 1,000 tokens per second.
OpenAI has introduced a new developer-focused model, GPT-5.3-Codex-Spark, designed to deliver near-instant code generation and edits within its Codex environment. The model, released on February 12, ...
Your local LLM is great, but it'll never compare to a cloud model.