If you add your credit card to Google Gemini and receive the $300 in free tokens (Google Cloud credits), there are still rate limits on your usage, even during the free trial period.
Q: in norway do you have to pay tax if you buy shares with capital from a company
Buying Shares With Company Capital (Corporate Investments)
If you are buying shares using capital from a Norwegian company (such as an Aksjeselskap or AS), the tax treatment is very different from that of a private individual:
Here's a step-by-step Figma design prompt for creating a crowdfunding card interface:
Step 1: Create the Main Container Create a 400px wide frame with dark background (#1A1A1A), 24px padding, and vertical auto-layout with 20px spacing[1].
Step 2: Add Progress Section Build a rounded container (16px radius) with gray border. Add vertical layout with 16px padding for the progress elements[1].
Cline offers several key advantages over Cursor that make it appealing to certain developers, particularly those who value transparency, flexibility, and cost control.
Cline operates on a pay-per-token model using your own API keys, which can be significantly more cost-effective for users with varying usage patterns. Unlike Cursor's fixed $20/month subscription with limited requests (500 for the Pro Plan), Cline allows you to pay only for what you use[1][5]. This approach gives developers complete control over their spending and can be particularly beneficial for those who don't need consistent daily usage.
One of Cline's most significant advantages is its model flexibility. Cline integrates with OpenRouter and allows you to choose from various AI models, including Claude 3.5 Sonnet, Qwen 2.5 Coder 32B, and other cutting-edge models[2]. This flexibility means you can access superior models since you're paying for actu
Roo Code offers several significant advantages over Cline that make it a more powerful and flexible AI coding assistant, particularly for developers who want greater control and customization over their workflow.
Roo Code's most distinctive advantage is its sophisticated multi-mode system that goes far beyond Cline's basic Plan/Act cycle[1]. While Cline operates with a simple two-mode approach, Roo Code provides three default modes: Code, Architect, and Ask[1][3]. The Architect mode is particularly valuable as it allows for high-level planning and system design without immediately jumping into code implementation, which helps developers think through problems more systematically[2][3].
The mode system offers per-mode tool selection and per-mode model selection, allowing you to use different AI models for different tasks - perhaps a faster, cheaper model for simple questions and a more powerful one for complex coding tasks[1][3]. You can e
This crowdfunding UI design can be broken down into several key components that can be recreated in Figma using frames, auto-layout, and proper styling. Here's a comprehensive breakdown:
Based on the provided code structure and requirements, here's the implementation for the create_chart_component function:
/**
* Creates a chart component with 5 bars distributed horizontally.
* @param {string} parentId - The parent frame ID (green frame)
* @returns {Promise} Test result with chart creation status
*/
async function create_chart_component(parentId) {
console.log("💥 create_chart_component called with parentId:", parentId);
Looking at the additional TypeScript files you've provided, here are the improved JSDoc comments for each:
/**
* Registers effect-related styling commands for the MCP server.
*
* This module provides comprehensive effect management tools including:
* - Direct effect application with custom parameters (shadows, blurs, etc.)
The aeamcp.com proposal would serve as foundational infrastructure for a comprehensive autonomous AI economy on Solana, enabling sophisticated use cases that are rapidly emerging in the decentralized AI landscape. The registries would facilitate discovery, verification, and economic coordination between AI agents operating with unprecedented autonomy.
The primary use case involves enabling Agent-to-Agent (A2A) commerce where AI entities discover each other through the registries and conduct business autonomously[2][10]. AI agents could represent individuals, devices, or organizations, negotiating and executing transactions using $SVMAI tokens. For example, a smart thermostat agent might autonomously purchase excess solar power from a neighbor's battery agent, with both agents discovering each other through the registry and settling payments in real-time[10].
When connecting multiple MCP servers, several significant challenges emerge that affect security, performance, and management. These issues are particularly important as the MCP ecosystem continues to evolve and expand.
Tool shadowing represents a critical security risk when connecting multiple MCP servers. A malicious MCP server can override tools from trusted servers, potentially leading to security breaches. This vulnerability is particularly concerning because users may not realize that a malicious server has taken control of a trusted tool's functionality.
Authentication and authorization become more complex in multi-server environments. Without proper security measures: