motoko-performance-optimizations

What problem does it solve?

Motoko code often incurs allocations and GC pressure in hot paths, leading to latency and throughput issues. This guide provides a structured, safe set of mechanical optimizations to reduce allocations, streamline Text building, and improve loop efficiency without changing semantics.

Core Features & Use Cases

• Allocation reduction in hot paths by avoiding unnecessary materialization and repeated string concatenations.
• Fixed-width arithmetic and block processing to minimize widening and branching costs.
• Efficient Text construction and loop shaping to lower GC pressure and improve throughput.
• Benchmarks and guardrails to validate performance gains without altering behavior.

Quick Start

Follow the step-by-step playbook to identify hot paths in Motoko code and apply safe, measurable optimizations.