Prompting Best Practices for Claude Code
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Prompting Best Practices for Claude Code
"The techniques mentioned below work equally well for all latest Claude AI models, including Opus 4.7, Sonnet 4.6, and Haiku 4.5. Step 1: Calibrating AI model The are two things thing you need to do even before writing actual prompt. Calibrate model effort For Opus and Sonnet AI models Claude Code provides the effort parameter that allows you to tune Claude's intelligence vs. token spend. By setting this parameter, you're trading off capability for faster speed and lower costs."
"For example, if you're using Claude Code for prototyping, you can start with Opus 4.7 with the xhigh effort level for planning and initial design, then switch to Sonnet 4.6 with the high effort for design refinement and validation. Opus 4.7 features a few levels of effort, from Low to Max."
"When it comes to thinking level, unlike effort, there is no setting in the Claude Code app that allows you to..."
Claude AI model prompting can use the same techniques across Opus 4.7, Sonnet 4.6, and Haiku 4.5. Before writing prompts, two calibration steps are needed. First, calibrate model effort using the effort parameter in Claude Code for Opus and Sonnet models, which trades capability for faster speed and lower token spend. For prototyping, start with Opus 4.7 at xhigh effort for planning and initial design, then switch to Sonnet 4.6 at high effort for design refinement and validation. Opus 4.7 provides effort levels from Low to Max. Second, calibrate model thinking depth, noting that there is no Claude Code app setting for thinking level.
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