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This is a submission for the Notion MCP Challenge What I Built Every developer knows this pain: It’s 11 PM. A production bug hits. You jump between GitHub → Jir

As developers, we often deal with logic, algorithms, APIs, and complex systems—but sometimes, even simple calculations like percentages can slow us down. Whethe

At a glance: Crawl4AI is the most popular open-source web crawler on GitHub — 62,300+ stars, more than Scrapy, more than Playwright. Built from the ground up fo

At a glance: The three largest compliance automation vendors — Vanta, Drata, and Secureframe — all have MCP servers now. Open-source GRC platforms are following

At a glance: Cohere has no official MCP server wrapping its API. Instead, MCP integration lives inside North , Cohere's enterprise AI agent platform, which can

I've been building three macOS/iOS apps as a solo dev, and I spent the last month rotating between Cursor, GitHub Copilot, and Claude Code as my primary AI codi

At a glance: Code security is arguably where MCP servers deliver the most practical value — catching vulnerabilities in AI-generated code before it ships . Offi

As developers working with large language models (LLMs), one of the most common questions we face is: Should I fine-tune a model or rely on prompt engineering?

MOUSE: P.I. for Hire features an old-school Mickey Mouse art style and launches next month digitally on Switch 2. Its physical release in June is being handled

Build Your First MCP Server in C#: A Complete Guide to Agentic AI Master the Model Context Protocol (MCP) with .NET and Azure OpenAI What You'll Build By the en

so like imagine you just shipped a feature right? and everyone tells you to tweet about it but then you realize your last 5 tweets got zero engagement except fo

I kept noticing something frustrating. No matter how many times I fixed the same bug, AI tools would treat it like the first time. That’s when I realized the pr

arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often depe

arXiv:2603.22312v1 Announce Type: new Abstract: This paper computationally investigates whether thought requires a language-like format, as posited by the Langu

arXiv:2603.22345v1 Announce Type: new Abstract: Multimodal emotion recognition in conversations (MERC) aims to identify and understand the emotions expressed by

arXiv:2603.22347v1 Announce Type: new Abstract: While Landauer's principle establishes the fundamental thermodynamic floor for information erasure and Fisher In

arXiv:2603.22350v1 Announce Type: new Abstract: Deterministic pre-execution safety gates evaluate whether individual agent actions are compatible with their ass

arXiv:2603.22359v1 Announce Type: new Abstract: Current AI agent frameworks commit early to a single interaction protocol, a fixed tool integration strategy, an

arXiv:2603.22386v1 Announce Type: new Abstract: Large language model (LLM)-based systems are becoming increasingly popular for solving tasks by constructing exe

arXiv:2603.22404v1 Announce Type: new Abstract: Consider a market of competing model providers selling query access to models with varying costs and capabilitie

arXiv:2603.22558v1 Announce Type: new Abstract: Generating synthetic populations from aggregate statistics is a core component of microsimulation, agent-based m

arXiv:2603.22561v1 Announce Type: new Abstract: This paper asks whether a bounded neural architecture can exhibit a meaningful division of labor between intuiti

arXiv:2603.22608v1 Announce Type: new Abstract: Users often rely on Large Language Models (LLMs) for processing multiple documents or performing analysis over a

arXiv:2603.22619v1 Announce Type: new Abstract: LLMs often generate seemingly valid answers to flawed or ill-posed inputs. This is not due to missing knowledge: