André J eonist

I'll summarize the key findings from these four research papers on AI agent security and authentication:

Authenticated Delegation and Authorized AI Agents

The first paper introduces a comprehensive framework for securely delegating authority to AI agents while maintaining accountability. The researchers propose extending existing authentication protocols like OAuth 2.0 and OpenID Connect to support AI agents acting on behalf of human users[1].

Key Contributions:

A novel framework for authenticated, authorized, and auditable delegation of authority to AI agents
Extension of established web authentication protocols to include agent-specific credentials and metadata
A system for translating natural language permissions into structured, auditable access control configurations

Claude's Max plan has several types of usage limits designed to provide substantially higher capacity than the Pro plan while maintaining fair access for all users.

Message Limits by Tier

The Max plan offers two usage tiers with different message allowances[1][2]:

Expanded Usage (5x Pro): At least 225 messages every 5 hours
Maximum Flexibility (20x Pro): At least 900 messages every 5 hours

For context, Pro users typically send around 45 messages every 5 hours, making the Max plan a significant upgrade for heavy users[4].

Analyzing LaunchDarkly Use Cases for the MCP Space: Opportunities, Pros & Cons, and Competitor Landscape

Intersection of LaunchDarkly and MCP

The intersection of LaunchDarkly—a leading feature flag and experimentation platform—and the MCP (Multi-Channel Platform/Management Control Platform) space offers significant opportunities for organizations seeking fine-grained, real-time control over feature releases, experimentation, and AI-driven operations across complex, distributed environments.

Key Use Cases in the MCP Space

Dynamic Feature Management: Instantly enable, disable, or modify features across multiple channels or environments without redeploying code, supporting real-time operational agility[1][2][3].
AI Model and Prompt Experimentation: Roll out, A/B test, and optimize AI models or prompts for different user segments or channels, with the ability to quickly revert changes if issues arise[4][5].

Cursor faces a challenging competitive landscape as agentic coding assistants become increasingly commoditized, with model access, token price, and raw API call volume emerging as primary differentiators. Your observation is accurate: when tools like Claude Code and Gemini CLI offer dramatically higher premium call quotas at lower prices, and the user experience converges around a chat/CLI interface, Cursor’s long-term differentiation is at risk if it remains a thin wrapper around third-party models[1][2].

Current Position and Risks

Cursor’s main strengths today are its deep IDE integration (as a fork of VS Code), real-time code generation, project-wide context, and support for multiple models[1][3].
However, its context window (~10k tokens) is much smaller than Gemini CLI’s (1M, soon 2M), and its premium call quotas are lower and more expensive than Claude Code’s[1].
The core risk: If model providers (OpenAI, Anthropic, Google) keep increasing context windows, lowering prices, and

If Probo was to use MCPs in their workflows. How and where do you think this would improve the current solution? https://www.getprobo.com/

Based on the search results, integrating Merchant Compliance Platform (MCP) capabilities could significantly enhance Probo's current compliance-as-a-service offering in several key areas:

Enhanced Automation and Intelligence

While Probo currently offers a "hands-off journey" where compliance is done for clients[1], incorporating MCP technology could elevate this through intelligent automation[3]. MCPs leverage machine learning algorithms and advanced encryption protocols to automatically detect potential compliance gaps[3], which could complement Probo's current manual approach of creating documents and policies for clients[1].

The automated SAQ functionality found in MCPs could particularly benefit Probo's startup clients by transforming complex self-assessment questionnaires into streamlined experiences with intelligent questionnaire generation based o

Several major cloud providers offer startup programs with significant credits and benefits. Here's how to apply for the main cloud startup programs:

Google for Startups Cloud Program

Google offers two tiers based on your startup's stage[1][2]:

Start Tier (Early-stage startups):

Up to $2,000 USD in credits valid for one year[2]
Eligibility: Under 5 years old, not yet funded by institutional investors, haven't received Google Cloud credits beyond free trial[2]

Here are the key best practices for using JSDoc with TypeScript:

Focus on Documentation, Not Types

Avoid redundant type annotations since TypeScript already provides comprehensive type information[1][2]. Instead, use JSDoc to document the purpose, behavior, and usage of your functions and classes[2].

/**
 * Calculates the compound interest for an investment
 * @param principal - The initial investment amount

Breakdown:

why Claude code https://gist.github.com/eonist/f76f1179c94a5ba985437c67dc2d4571

Claude code vs gemini cli https://gist.github.com/eonist/f76ba666cb0cc10df26ba0bfe1d10e11

Claude Code and Gemini CLI vs Cline.md https://gist.github.com/eonist/bd6d141ac5bad9b6bc7be4dc7141dbdd

Based on the latest developments, this comparison reveals two fundamentally different approaches to AI-powered coding assistance: terminal-based agents versus IDE-integrated solutions.

Environment and Workflow Integration

Terminal-Based Agents (Gemini CLI & Claude Code) Both Gemini CLI and Claude Code operate directly in your terminal, designed for developers who prefer command-line workflows[1][2]. They integrate seamlessly with existing terminal-based development processes, Git operations, and server management tasks[3][2].

IDE-Integrated Solution (Cline) Cline operates as a VS Code extension, providing a graphical interface with diff views, file editing capabilities, and visual feedback[4][5]. It offers a "human-in-the-loop GUI to approve every file change and terminal command," making it more accessible for developers who prefer visual interfaces[4].

	Yes, it is possible to use a custom domain with Gmail for free, though it requires some setup and has certain limitations. There are several methods to achieve this, each with different requirements and trade-offs.

	## Free Methods to Use Custom Domain with Gmail

	### Method 1: Email Forwarding + SMTP Service

	This is the most popular free approach that combines email forwarding with a free SMTP service[1][2]. Here's what you need:

	- A custom domain name
	- A free email forwarding service (like ImprovMX or Cloudflare Email Routing)