ordo-jit-optimization

Compile schema-aware rule expressions with a JIT compiler for low-latency evaluation.

31|7|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/Ordo-Engine/Ordo --skill ordo-jit-optimization-ordo-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ordo-jit-optimization
Source: https://github.com/Ordo-Engine/Ordo/tree/main/.cursor/skills/ordo-jit-optimization
Command: npx skills add https://github.com/Ordo-Engine/Ordo --skill ordo-jit-optimization-ordo-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

High-frequency rule evaluation often suffers from latency and limited throughput. This Skill provides a schema-aware JIT compiler and a guided workflow to accelerate rule execution in production environments.

Core Features & Use Cases

  • Schema-aware JIT compilation for faster expression evaluation
  • TypedContext derivation for safe, strongly-typed rule contexts
  • Benchmarks and performance tuning guidance for low-latency decisioning

Quick Start

Run a quick benchmark on a sample rule set to compare Cranelift-based JIT with the interpreter.

Frequently Asked Questions about ordo-jit-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does schema-aware JIT compilation improve rule engine performance?

Schema-aware JIT compilation accelerates rule evaluation by compiling expressions against strongly-typed contexts at runtime, reducing interpreter overhead and enabling ultra-low latency in production decision platforms.

How do I benchmark JIT-compiled rule evaluation against an interpreter in Rust?

Run the provided quick-start benchmark on a sample rule set to compare Cranelift-based JIT execution with the standard interpreter, measuring latency and throughput across varied schemas and contexts.

Can I use TypedContext derivation for type-safe rule contexts in Rust?

TypedContext derivation generates strongly-typed rule contexts from your Rust structs using a derive macro, ensuring type safety and schema alignment during JIT-optimized expression evaluation.

What's the best way to optimize high-frequency expression evaluation for low-latency decisions?

Apply a schema-aware JIT compiler to high-frequency rule paths, leveraging TypedContext derivation and built-in performance-tuning tools with safe defaults to achieve scalable, ultra-low-latency rule execution.

When should I avoid JIT optimization in my rule engine?

Avoid JIT optimization for low-frequency rules or rapidly changing schemas where compilation overhead outweighs execution gains; the provided performance-tuning tools help benchmark and identify these threshold cases.