Harness Engineering

Run a Full Software Org.
As a Team of One.

Harness Engineering installs our battle-tested pattern language — spec-before-code, one-command verification, multi-agent workflows — into your team, so you ship with the rigor of a large engineering org at the speed of one. And when you'd rather we build it, we ship your product on the same harness.

9+
Years Experience
50+
Projects Delivered
100%
Client Satisfaction
26
Harness Patterns

How the Harness Works

Spec. Build. Verify. Ship.

The lifecycle your team runs with AI — every step enforced by the repository, not by memory.

01

Spec

requirements validated

Every feature starts as a reviewable spec — agreed before any code is written.

02

Build

14 files changed · tests green

Agents implement test-first, in isolated worktrees, in parallel.

03

Verify

all gates passed

One command proves the change is safe — every time, before it ships.

04

Ship

deployed · 3h 12m total

Small, trunk-based PRs land the same day they're specced.

Why Harness Engineering

The Harness Is What Compounds

The model in the loop will change every few months. A repository-enforced harness is the leverage that keeps growing — no matter which AI you run.

Verified AttentionThe Bottleneck

Your real limit isn't typing speed — it's how much shipped change you can stand behind. The harness turns repetition and checking into repository-enforced structure, so your verified output climbs.

  • Spec-before-code
  • One-command verification
  • Test-first loops
  • Reviewable plans
The Bet

Model-Agnostic LeverageWhat Compounds

Bet on a model and you start over when the next one lands. Bet on the harness and every improvement compounds. Works with Claude Code, Cursor, and whatever comes next.

  • Conventions over tribal knowledge
  • Works across models
  • Your team owns it
  • Rigor of a large org

Multi-Agent, Trunk-BasedAt the Speed of One

Run parallel agents without chaos — isolated worktrees, small trunk-based PRs, and automated memory keep every session coherent.

  • Isolated worktrees
  • Small, safe PRs
  • Persistent memory
  • Human QA charters

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