Project overview
LLM App Productionizer guides a working LLM prototype through ordered engineering phases instead of treating production work as one prompt. It covers evaluation sets, prompt-injection defenses, output validation, retries and fallbacks, caching, token-cost limits, latency, tracing, canary releases, and rollback. The skill is aimed at teams that need evidence at each stage before expanding a prototype.
Repository facts
- Primary language
- Python
- License
- MIT
- Repository updated
- Jun 23, 2026
- Default branch
- main
Resource types
General skill
Use cases
DevOps and deployment
Platforms
Claude Code, Codex, and more
Capabilities
ObservabilitySecurity guardrailVerification and evals