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AI Agent Design

5 articles · Page 1 of 1
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 9, 2026 · Artificial Intelligence

Matt Pocock's Agent Skill Design Checklist: 4 Steps to Reliable Skills

This article summarizes Matt Pocock's four-step checklist for designing effective AI agent skills: choose between user-invoked and model-invoked triggers, structure skills with steps and references using context pointers, control agent behavior with concise guide words like 'vertical slice', and prune redundancy by eliminating duplication, sediment, and no-ops.

AI Agent DesignAgent SkillsContext Pointers
0 likes · 9 min read
Matt Pocock's Agent Skill Design Checklist: 4 Steps to Reliable Skills
Qborfy AI
Qborfy AI
Aug 26, 2026 · Artificial Intelligence

How Graph Engineering Tames Uncontrolled AI Agents and Solves Prompt Fatigue

The article explains that "prompt fatigue" stems from cramming multiple roles and tasks into a single LLM prompt, which causes attention competition and context pollution, and shows how Graph engineering restructures agents into specialized state nodes to isolate context, specialize roles, and enforce controllable workflows, backed by Anthropic’s 90% quality gain at a 15‑fold token cost.

AI Agent DesignAnthropicContext Isolation
0 likes · 14 min read
How Graph Engineering Tames Uncontrolled AI Agents and Solves Prompt Fatigue
James' Growth Diary
James' Growth Diary
May 16, 2026 · Artificial Intelligence

MCP Integration Deep Dive: Prompt Cache Stability and Tool Ordering Explained

The article analyzes why connecting an MCP server can triple response latency and token usage, explains how unstable tool ordering breaks Anthropic's prompt cache, and provides detailed code walkthroughs, design insights, common pitfalls, and concrete best‑practice recommendations for building reliable MCP integrations.

AI Agent DesignClaude CodeMCP
0 likes · 18 min read
MCP Integration Deep Dive: Prompt Cache Stability and Tool Ordering Explained