A DEV Community article discussing the transition from a law degree to software development, exploring the challenges and experiences within the industry.
Solved maps the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
Anchor Browser provides secure infrastructure for computer use agents, focusing on the operational aspects and limitations of AI agents in production.
A registry for open-source MCP Servers, clients, tools, and integrations, featuring daily updated servers and various MCP implementations.
Prior Labs offers TabPFN MCP, a beta tool for LLMs to make predictions on tabular data, providing enhanced data analysis capabilities.
Google's Developer Knowledge API and MCP Server provide a machine-readable way for AI assistants and agentic platforms to access up-to-date documentation for Google products.
Launchonomy is a system for orchestrating AI agents to complete missions through consensus, providing a framework for managing and coordinating agent activities.
A comprehensive MCP server hosted on GitHub, exposing dozens of capabilities to AI agents, facilitating agent interaction and functionality.
MCP Agentic Framework is a communication framework for multi-agent collaboration using the Model Context Protocol (MCP), providing a way for agents to communicate and collaborate.
Tracecat is a platform that allows users to drive workflows and cases through MCP clients like Claude, Cursor, and ChatGPT, enabling building, editing, and running automations.
An AI agent designed for web scraping tasks, leveraging artificial intelligence to automate the process of extracting data from websites efficiently.








