Securing Claude agents: sandboxing, secrets, injection
Harden Claude agents on Skills and MCP: sandboxing, least privilege, secret handling, and layered prompt-injection defense that contains the blast radius.
8 min read
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Cut Claude agent token cost: caching, batching, speed (Extending Claude Skills MCP)
Keep Claude agents fast and cheap on Skills and MCP with prompt caching, batching, context discipline, model routing, and cost-per-run metrics.
7 min read
Debugging Claude agents: loops, bad tool calls, fixes (Extending Claude Skills MCP)
Diagnose and fix the common failure modes of Claude agents on Skills and MCP: tool-call loops, wrong tool selection, and hallucinated arguments.
8 min read
Prompt and Context Design for Claude Agents in 2026
What to put in Claude's context and what to leave out — prompt and context engineering for agents with Skills and MCP tools, with concrete heuristics.
6 min read
Wiring MCP Tools Into Claude: Auth, Schemas, Errors
Wire MCP servers into Claude safely — authentication, typed schemas, structured errors, retries, and idempotency for production agentic systems.
6 min read
Reusable Patterns for Claude Skills and MCP Tools
Code-level patterns for Claude Skills and MCP tools — thin tools, fat skills, disclosure ladders, idempotency, and composition that scales.
6 min read
Build a Claude MCP Server and Skill: Full Walkthrough
Step-by-step: scaffold an MCP server, pair it with an Agent Skill, and wire both into Claude Code — with real TypeScript code and testing tips.
6 min read
How Claude Skills and MCP Servers Work Together
Trace the full architecture connecting Claude, Agent Skills, and MCP servers — discovery, loading, tool calls, and context flow, end to end.
7 min read
Reasoning Models Explained: From Chain-of-Thought to o3 — How do openai o3 thinking llms work
How do openai o3 thinking llms work: a technical primer on how reasoning models work — from basic chain-of-thought prompting to OpenAI's o3 and DeepSeek R1. Understanding the inference-time compute revolution.
6 min read
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