Prompting Anthropic v5 for Cloud Engineers: Practical Rules for Sonnet 5, Open 5, and Fable 5.1
With each new model generation, Anthropic updates its prompting best practices, and the 5th generation is no exception. This post distils the practical guidance from Anthropic’s documentation into actionable rules for Sonnet 5, Open 5, and Fable 5.1, focused on cloud engineering workflows. Rules for every current model Give the reason, not just the rule The model will use the why or the reason to…
When interacting with Anthropic's v5 models for cloud engineering tasks, it's crucial to follow practical prompting best practices. These guidelines help optimize the models' performance and output for cloud engineering workflows:
1. Provide reasons in prompts, not just rules. This allows the model to generalize and find answers beyond what's explicitly stated in the prompt.
2. Don't use Write-Host in scripts. Write-Host output is invisible in job logs when running as an Azure DevOps pipeline task.
3. Explicitly state the output contract, as the model lacks knowledge of your conventions and formats. For example, specify the function name, parameters, return type, and examples.
4. Use clear and descriptive names for functions, following the [CmdletBinding()] convention with approved Verb-Noun format and singular nouns. Include comment-based help with parameters and an .EXAMPLE section.
5. Provide examples rather than just describing style. Models learn better from concrete examples, especially when learning new tool usage.
6. When writing Azure Policy definitions, match the conventions used in the examples provided. This includes using deny, audit, and deployIfNotExists policy types and following the policyRule structure.
7. Avoid using hardcoded values. Instead, use variables with type constraints and descriptions, providing defaults only when appropriate.
8. Present the full context of the query when asking questions. Anthropic's models showed a 30% quality improvement when the full context was provided.
9. Before answering a question, quote the specific resource blocks relevant to the question. Then identify which modules still use NSG rules with source *.
10. When using Opus 5, delete verification scaffolding. Opus 5 verifies its own work unprompted, so you shouldn't ask it to re-verify after your response.
11. With Opus 5, avoid over-verifying by including unnecessary verification steps. Focus on writing the Terraform module and let Opus 5 handle verification.
12. For Sonnet 5 models, keep responses focused on exactly what was asked. Don't go beyond the scope of the question, even if it involves deep analysis or considering edge cases.
13. With Fable 5 models, distinguish between assessment and action. If you're merely describing a problem, stop at the assessment phase and don't propose fixes unless explicitly asked.
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