harness-engineering-playbook

To automate repository bootstrapping for repeatable agent runs, use a Typer-based CLI wizard that generates harness artifacts like AGENTS.md, PLANS.md, and Makefiles. This enforces strict boundaries and observability controls to prevent drift in autonomous workflows.

Harness engineering is the practice of codifying observability, governance, and entropy controls in repositories. You need it for software projects seeking repeatable agent-driven workflows that are auditable from day one.

To set up deterministic CI workflows and Makefile commands for autonomous agents, run a harness wizard to bootstrap the repository. This wires deterministic commands like make smoke, make check, and make ci directly into your project.

The harness engineering wizard requires the Typer dependency to run its interactive and scripted CLI paths. You need this Python package installed to bootstrap templates, apply baseline checks, and upgrade control primitives in your repository.

The best way to enforce entropy controls and prevent drift in autonomous agent runs is by applying control profiles via a CLI wizard. This establishes strict boundaries, observability, and baseline checks across your repository architecture.

Your autonomous agent workflow lacks observability and auditability because baseline harness artifacts are missing. Bootstrapping templates like AGENTS.md and CI workflows codifies governance, making agent-driven processes repeatable and auditable.