maximize-parallels

What problem does it solve?

It reduces latency and cost when using an AI tool system by helping you safely combine multiple independent tool calls into a single message for parallel execution.

Core Features & Use Cases

• Parallelization decision rules: Determines when two tool calls can run concurrently based on input/output dependency, shared mutable state, and tool-specific exclusion (e.g., session-scoped cwd side effects).
• Common safe batching patterns: Encourages parallel Read operations across multiple files, independent Bash commands that do not interfere, multi-angle searches, and disjoint multi-agent startups.
• Anti-pattern guardrails: Identifies sequential dependencies that must remain ordered, such as Read → Edit chains, multiple edits to the same file, cd-dependent shell sessions, and destructive git operations.

Quick Start

Group all tool calls that do not depend on each other’s outputs or modify shared state into a single message so they execute in parallel.