Module 09 — Advanced prompt crafting

Name: Harness Engineering — Claude Code Mastery
Price: 89 EUR
Availability: InStock

In this module

You'll move from basic prompting to agent steering: finding the right level of specificity, using the Interview pattern to get precise specs, delegating to subagents, and knowing when to change approach instead of pushing harder.

Contents

9.1 — Agent vs chatbot: a posture shift Key takeaways 9.2 — The right level of specificity Key takeaways

9.3 — Chain-of-thought and effort levels Key takeaways 9.4 — CLAUDE.md: your permanent instructions Style de code Workflow Conventions Key takeaways 9.5 — The Interview pattern and specification Key takeaways 9.6 — Context management and session commands Key takeaways 9.7 — Subagents: delegate and parallelize Key takeaways 9.8 — Output format and automation Key takeaways 9.9 — Iteration and correction: the 2-strikes rule Key takeaways 9.10 — The five prompting mistakes to avoid Key takeaways

9.1 — Agent vs chatbot: a posture shift Key takeaways 9.2 — The right level of specificity Key takeaways

9.1 — Agent vs chatbot: a posture shift

When you use ChatGPT or Claude in a web interface, you're interacting with a chatbot. You have to feed it all the context -- the code, the files, the architecture -- because it can't fetch information itself. Claude Code is an agent. It has tools: Read, Grep, Glob, Bash, Edit. It explores your codebase, reads your files, runs commands, navigates the git history. This difference radically changes how you should phrase your instructions.

With a chatbot, you give the steps. With an agent, you give the direction. Instead of saying "open file X, find line Y, replace Z with W", you say "date sorting is broken on the orders page, fix it". The agent will find the file, understand the bug, propose the fix. Your en

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