How to Use Harness Engineering for AI Coding
A LinkedIn post by Maryam Miradi, PhD — a 7-step roadmap from coding tasks to system steering, even for beginners with Claude Code or Codex.
🛠️🧭 How to Use Harness Engineering for AI Coding → Even If You’re Just Starting with Claude Code or Codex.
This is a 7-step roadmap from coding tasks to system steering.
In the era of Claude Code and Codex, the bottleneck is moving — from writing code and reviewing every diff, to engineering the harness.
The post is a visual 7-step roadmap (image carousel). The core thesis: stop being the diff reviewer, become the system architect who builds repeatable delivery with guardrails, tests, and observability.
Discussion
- Selami Ermis: “If you’re still manually reviewing every diff from your AI, you aren’t doing ‘Harness Engineering’ — you’re still doing ‘AI-assisted manual labor.’ The goal is to get to where the human is purely the architect, and the code is just an artifact the system produces.”
- She Leads With AI: The shift is from humans reviewing diffs to humans identifying failure classes — an organizational change.
- Fivos Aresti: “Step 4 is the real unlock — every repeated review comment is a system design failure.”
- Leslie Babel: “The real shift is moving from prompting code to engineering repeatable delivery systems.”