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harness-engineering

Coordinate context engineering, architectural constraints, and garbage collection in HARNESS.md.

44|6|Updated Mar 30, 2026
Search Tags:#ai#governance#software-development#context-engineering#harness-engineering#architectural-constraints
One-click install
npx skills add https://github.com/Habitat-Thinking/ai-literacy-superpowers --skill harness-engineering-habitat-thinking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: harness-engineering
Source: https://github.com/Habitat-Thinking/ai-literacy-superpowers/tree/main/ai-literacy-superpowers/skills/harness-engineering
Command: npx skills add https://github.com/Habitat-Thinking/ai-literacy-superpowers --skill harness-engineering-habitat-thinking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Harness Engineering provides a living, self-defining harness to keep AI-assisted code trustworthy and maintainable by coordinating context, architectural constraints, and automated governance across codebases.

Core Features & Use Cases

  • Context Engineering: embed explicit knowledge and conventions within the codebase to guide AI reasoning.
  • Architectural Constraints: enforce hard rules with deterministic checks and agent reviews to prevent drift.
  • Garbage Collection: periodic pruning of documentation and standards to fight entropy.
  • Living Harness: HARNESS.md acts as the evolving source of truth that generates enforcement from its own guidance.
  • Progressive Hardening: evolve from declared intent to agent and deterministic enforcement.
  • Testing the Harness Itself: apply test-driven agent behaviours (TDAB) to validate guidance and enforcement.

Quick Start

Open HARNESS.md and begin documenting the three components with their enforcement timing to start enforcing the harness.

Frequently Asked Questions about harness-engineering

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

FAQPage Schema
How do I maintain trust and maintainability in AI-assisted code generation?▼

Maintain trust in AI-assisted code generation by using a living harness that coordinates context engineering, architectural constraints, and automated governance. This approach prevents drift and keeps AI-generated code reliable across evolving codebases.

What is context engineering for AI software development?▼

Context engineering for AI software development is the practice of embedding explicit knowledge and conventions within the codebase. This guides AI reasoning and ensures generated code aligns with established architectural constraints.

How do I enforce architectural constraints when using AI coding agents?▼

Enforce architectural constraints with AI coding agents through progressive hardening, evolving from declared intent to agent reviews and deterministic checks. This creates enforcement loops that prevent architectural drift.

How do I start implementing governance for AI-generated code?▼

Start implementing governance for AI-generated code by opening a HARNESS.md file and documenting context engineering, architectural constraints, and garbage collection components with their enforcement timing to establish the living harness.

How do I fight documentation entropy in AI-assisted software development?▼

Fight documentation entropy in AI-assisted software development through periodic garbage collection. This prunes outdated documentation and standards, ensuring the evolving source of truth remains accurate and maintainable.

Can I validate AI agent behaviors against my codebase governance rules?▼

Validate AI agent behaviors against governance rules by applying test-driven agent behaviors (TDAB). This tests the harness itself to ensure guidance and enforcement mechanisms function correctly.

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