@freeman1266: Harness Engineering is not mysticism, but an engineerable living product. Many people read a bunch of Harness Engineering articles and understand the concepts, but what is the first step? Six layers, stacked step by step: • Rule: Hard-code basic rules to tell AI what not to…

Harness Engineering is Not Mysticism — It’s an Engineering Artifact That Lives

Many people have read various Harness Engineering articles and understand the concepts, but where exactly should they start?

Six layers, stacked one at a time:

• Rule: Hard-code basic boundaries, tell the AI what it must not do — but Rules are only soft constraints. The AI will forget, work around, and rationalize. • Skill: Standardize fixed actions like compilation, testing, and verification — don’t let the AI improvise on the fly. • Sub Agent: Requirements analysis, solution design, development, review, testing — split the roles so one Agent doesn’t both write the spec and review its own work. • Workflow: Relay race rules — who takes which leg, when to bounce back, and to whom — all clearly defined. • Scripts (Master Verification Script): The hardest layer — you claim it’s done? The script decides when it’s actually complete. • dev-map + Task Board: Give the AI a project-level index so it doesn’t repave roads in a city that’s already built.

The key cognitive shift:

No matter how many Rules you add, they are still natural language constraints — the AI will “interpret and execute.” A mature Harness ultimately relies more on scripts and less on prompts.

Getting Started Advice:

Don’t try to build everything at once. First, nail down the SPEC, add the most critical Rules, turn frequent actions into Skills, and only split into multiple Agents when a single Agent becomes unstable — get the system running first, then reinforce it with real problems.

Harness is never “designed perfectly in one go” — it’s run a stretch, hit a wall, patch a hole, then run another stretch.