Blog
Thoughts on AI Agents and Projects knowledge
Practical writing on context, memory, and how teams work with AI agents.
Protocol
What is an MCP Server?
The Model Context Protocol is quickly becoming the standard way for AI agents to talk to external tools and data sources. Here is what it is, how it works, and why it matters.
5 min read
Developer experience
Why Your AI Agent Keeps Losing Context
Every new session, you explain the same things again. The architecture, the constraints, the decisions already made. There is a better way.
4 min read
Best practices
The Knowledge Base Your AI Agent Can Actually Use
Not all documentation is useful to an agent. Here is what makes a knowledge base queryable, relevant, and worth maintaining.
6 min read
Protocol
Where Every MCP Client Keeps Its Config
The protocol is standardised. The config file is not. A field guide to mcpServers vs servers vs mcp, project scope vs global scope, and the one file more than one vendor agreed to read.
8 min read
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