… With the launch of Windsurf 2.0, the platform introduces the Agent Command Center, a brilliant feature that brings a Kanban-board style dashboard directly into your IDE. Traditional AI interface locks you into a single, linear chat window, which can get messy after a while. …
… There has also been quite a stir within the AI community with Nvidia rolling out RTX Spark, a new Windows-on-Arm platform built with Microsoft aimed at running local AI agents. …
… While this has drawn criticism for memory usage, it's also what makes VS Code so extensible and cross-platform compatible. 04 / 8 Claude Code Claude Code is an AI coding tool developed by which company? A OpenAI B Google DeepMind C Anthropic D Meta AI Correct! …
… The IDE revolution is here It’s quite clear that the shift from a code-centric IDE to an agent-centric platform is inevitable. If you are tired of the same old side-panel AI wrappers and want to experience what a true, native agent workflow feels like, give Antigravity 2.0 a try. …
… Google Antigravity Google Antigravity is Google’s agentic development platform: an AI-powered IDE that lets developers delegate coding tasks to autonomous agents that can work across the editor, terminal, and browser. …
… The standout feature in 2.0 is the Agent Command Center. For the first time, I don’t feel like I’m just chatting with an AI. It’s a Kanban-style interface that lets me manage several agents at once. …
… However, the real fun begins when you start creating agents for dedicated tasks. There’s even an agent designed to create other agents and sub-agents , and it works well as long as I give it a detailed description of what I want in the chat section. …
… AI prompts surface in the file management systems, Gemini is gated behind a sign-in flow, and a permanent icon to the AI agent appears on the taskbar. …
… That said, using coding agent harnesses like OpenCode can end up hogging quite a bit of the model’s context length for the built-in tools before I even start prompting the agent. …
… Instead of waiting for one AI to finish a response, I can run multiple agents to work on different parts of a project. For instance, while one agent is refactoring a backend API, I can have another one writing unit tests or browsing the web to research the latest documentation for a library. …