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The guide consolidates 20 concrete, copy-paste-ready Korean-language prompt patterns for Claude, giving Korean-speaking developers a structured reference that addresses Korean-specific formatting conventions alongside universal prompt engineering techniques.
The post provides production evidence that the widely cited ~15-tool MCP limit is a proxy for ambiguity rather than a hard count ceiling, and demonstrates that naming grammar, description-level routing instructions, and selection-focused evals can keep a 27-tool server accurate.
The system directly addresses the structural reason Claude Code sessions lose productivity — no persistent project memory — by encoding context in `CLAUDE.md` and enforcing workflow discipline that keeps every session starting with full context and every change safely reversible.
Adopt the `UNCERTAIN:` system prompt pattern and RAG grounding to get actionable uncertainty signals and reduce confident hallucinations in production Claude integrations.
Design your MCP tools around what an agent needs to accomplish in one step — not what your REST API exposes — to reduce latency, token spend, and model reasoning errors in production.
Developers adopting AI coding agents should audit their engineering practices first — Pocock's framework suggests that fundamentals like TDD and vertical slices are the leverage point that separates high-quality AI-assisted output from unmaintainable code.
Teams building large MCP servers can adopt this domain-plus-permission file structure and seven-verb naming convention to keep tool sets predictable for both developers and AI models as the tool count scales.
Developers maintaining `CLAUDE.md` files or system prompts for Claude-based agents can avoid unnecessary rewrites by targeting only two specific patterns — non-binding action verbs on tool-dependent steps and scope rules without explicit exceptions — rather than auditing every prompt from scratch.
Vibe coders shipping AI-generated code to production can adopt Playwright end-to-end tests — with mocked third-party services — to catch regressions before they reach users, without incurring real API costs on every test run.
Apply the Principle of Least Context now — by routing all tool calls and file reads through isolated sub-agents and keeping the main orchestrator lean — to prevent context rot from silently degrading Claude Code's output quality on long-running tasks.