System and User Instructions
Understand the role split between system and user instructions and learn to write prompts that give an LLM clear task scope, firm constraints, and an unambiguous output contract.
Prompting
Practical prompt engineering techniques for platform engineers operating cloud native infrastructure through LLMs and coding agents.
23 minutes read
Categories:
Grounding Prompts in Infrastructure State
Learn to feed real kubectl and MeshSync output into prompts so your LLM reasons from actual cluster state rather than stale assumptions.
Structured Output: YAML and JSON
Techniques for reliably coercing an LLM into producing valid, parseable YAML or JSON that a coding agent can apply directly to your cluster.
Prompt Patterns for Operations
Apply proven prompt patterns - few-shot, checklist, step-by-step decomposition, and role prompting - to recurring cloud native operations tasks.
Evaluating Your Prompts
Build a small eval set before scaling your prompts, use golden examples to catch regressions, and detect when a prompt or model change breaks expected behavior.