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Sustainability skill

As explained in The Art of Code

Sustainability skill is a reusable AI instruction set for reviewing software against sustainability patterns and reporting findings.

A sustainability skill gives an AI agent a repeatable way to review software for visible resource-efficiency problems. It focuses on recognizable signals in code, configuration, APIs, and architecture rather than broad product judgments. section 8.5.2

Use the skill as a three-stage review:

  • Analyze the resources involved, including CPU, memory, storage, network, package size, and hardware pressure. section 8.5.2
  • Audit the project against lean packaging, lean storage, lean communication, efficient execution, and memory efficiency. section 8.5.2
  • Report findings with severity, confidence, and assumption flags, while proposing the smallest safe improvement. section 8.5.2

Visible review signals

The skill can identify unused dependencies, oversized payloads, inefficient queries, unbounded caches, and datasets loaded entirely into memory. It should avoid treating every optimization as worthwhile: readability, legal retention obligations, and system context can outweigh small resource savings. section 8.5.2

How The Art of Code covers it

How deep it goes
Defines analyze-audit-report steps and concrete signals, but stops short of product-level frugality and carbon-aware judgment.
Examples
Uses unused dependencies, oversized payloads, inefficient queries, unbounded caches, and fully loaded datasets as review signals.
What you can do after
Diagnose sustainability issues with an AI agent and evaluate small, safe improvements using severity, confidence, and assumptions.
How it connects
Connects sustainability patterns with resource efficiency, carbon-aware patterns, software architecture, and legal retention obligations.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of The Art of Code. The section links point to the parts of the book it draws on.