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Practical articles and engineering guides on AI Agents: tool calling, memory, planning, multi-agent orchestration, security and evaluation.
Build an MCP server in C#: read-only SQL Server tools, a T-SQL parser gate, cost and row limits, and setup for Claude Desktop, VS Code and Claude Code.
Read article →AI agent security for developers: why the prompt is never the security boundary, and how to handle prompt injection, tool permissions, unsafe model output, data leaks, authorization and runaway cost — with real failures and code from three .NET AI projects.
Read article →How to prevent SQL injection in AI-generated SQL: a least-privilege database user, a real T-SQL parser with an allow-list, cost limits, safe tool queries and a prompt that is never the security boundary. With code for ASP.NET Core and SQL Server.
Read article →Give the agent tools to inspect tables, search the glossary, sample values and test queries. Measured honestly: a pure agent scores 42% held-out, the model rarely calls a tool when it has context, and it rubber-stamps its own wrong answers.
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