/explore
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leslieo2.github.io | ||
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cendyne.dev
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| | | | | Reviewing the capabilities and limitations of LLM agents in software development and their impact on skilled and less skilled developers. | |
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glama.ai
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| | | | | Enables AI-first DevOps management of multi-tenant Solid SaaS platforms through natural language conversation. Monitor thousands of tenant instances, track AI agent performance, handle errors, manage billing, and provision new tenants directly through Claude Desktop. | |
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passo.uno
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| | | | | If you've been following the AI space for a while, the MCP acronym might be a familiar sight: it's an open standard for connecting large language models (LLMs) to tools and data. Without the ability to use tools and get data, AI agents are powerless, their knowledge limited to their training set and the context at hand. Giving in to my curiosity, I created an MCP server to demystify this piece of tech and gain a better understanding of its potential. Not all is rosy, but if there's a place where doc tools need to grow, it's this. | |
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authzed.com
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| | | AI fundamentally changes the interface, but not the fundamentals of security. Here's a timeline of security breaches in MCP Servers from the recent past. | ||
