OpenAI releases research preview GPT-5.3-Codex-Spark for ChatGPT Pro users 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. It is the first outcome of the company’s recently announced partnership with Cerebras to add 750MW of ultra … continue reading
Google has announced the release of Gemini 3 Flash, its latest frontier model designed for speed at a lower token cost. According to Google, this model is ideal for iterative development, as it is able to quickly reason and solve tasks in high-frequency workflows. It also outperforms all Gemini 2.5 models as well as Gemini … continue reading
Google is adding a Data Commons extension to the Gemini CLI to make it easier for developers to access and interact with publicly available data. Data Commons is a large library of public data from around the world, gathered from sources like the United Nations, the World Bank, and a number of government agencies. The … continue reading
Coinciding with its announcement of Gemini 3 today, Google announced the launch of a new agentic development platform, Google Antigravity. The company sees Antigravity as an evolution of the IDE into an agent-first future, with capabilities like browser control and asynchronous interaction patterns. “With models like Gemini 3, we have started hitting the point in … continue reading
Google is announcing a new offering built around Gemini, designed specifically with large enterprise use in mind. Gemini Enterprise consolidates six core components: Advanced Gemini models A no-code workbench for analyzing information and orchestrating agents Pre-built Google agents for tasks like deep research or data insights The ability to connect to company data A central … continue reading
Google is launching Gemini CLI extensions to allow different development tools to connect up to the Gemini CLI. Each extension includes a playbook that teaches the CLI how to effectively use that tool, eliminating the need for developers to configure them. “If you want to look under the hood, Gemini CLI extensions package instructions, MCP … continue reading
Google has announced that it has brought the Gemini CLI to the open source code editor, Zed. The new integration will enable Zed users to generate and refactor code in the editor, get instant answers on code or error messages, and chat naturally in the terminal. Developers will be able to follow along live with the … continue reading
Agent Mode in Gemini Code Assist now available in VS Code and IntelliJ This mode was introduced last month to the Insiders Channel for VS Code to expand the capabilities of Code Assist beyond prompts and responses to support actions like multiple file edits, full project context, and built-in tools and integration with ecosystem tools. … continue reading
Gemini 2.5 Flash-Lite is now generally available The model is Google’s fastest and cheapest model, costing $0.10/1M tokens for input and $0.40/1M tokens for output (compared to $1.25/1M tokens for input and $10/1M tokens for output in Gemini 2.5 Pro). “We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning … continue reading
Google is adding several new features to its cloud-based AI workspace Firebase Studio, following its update a few weeks ago when it added new Agent modes, support for MCP, and integration with the Gemini CLI. Now it is announcing updated workspace templates for Flutter, Angular, React, Next.js, and general Web that use the Agent mode … continue reading
JetBrains announces updates to its coding agent Junie Junie is now fully integrated into GitHub, enabling asynchronous development with features such as the ability to delegate multiple tasks simultaneously, the ability to make quick fixes without opening the IDE, team collaboration directly in GitHub, and seamless switching between the IDE and GitHub. Junie on GitHub … continue reading
Gemini API gets Batch Mode Batch Mode allows large jobs to be submitted through the Gemini API. Results are returned within 24 hours, and the delayed processing offers benefits like a 50% reduction in cost and higher rate limits. “Batch Mode is the perfect tool for any task where you have your data ready upfront … continue reading
