Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
4 posts found
AI coding assistants aren't one architecture — they're three separable design decisions (how context gets assembled, how edits get applied, how execution gets contained) that every tool from Claude Code to Cursor answers differently.
In agent systems, instructions live across four surfaces — system prompt, tool schemas, tool results, and few-shot text — not one. Most prompt debugging still only looks at the first.
Most agent security advice targets prompt injection at the wrong layer. The real fix is architectural: separate untrusted tool output from privileged context, scope tool capabilities narrowly, and gate side-effecting actions behind confirmation.