SROW Field Kit
A public method hub for Structured Resolution-Oriented Writing, with five resolution layers, a complete worked transformation, checklist, and reusable templates.
Resources
This compact index helps founders, technical owners, and small teams diagnose AI-assisted development risk, repo readiness, validation posture, and audit readiness without turning the site into a broad content engine.
Each resource is written to support one buyer path: decide whether the AI Development Workflow Audit is the right next step.
Purpose
These resources help a qualified buyer understand risk, validation posture, and audit fit before moving deeper into intake.
The goal is not to publish a general blog index. The goal is to make the highest-value buyer resources easy to find and easy to connect back to the AI Development Workflow Audit.
Current resources
Each entry below is a diagnostic resource for governed AI-assisted development.
A public method hub for Structured Resolution-Oriented Writing, with five resolution layers, a complete worked transformation, checklist, and reusable templates.
A practical essay on why AI coding speed still needs repo governance, task boundaries, review ownership, test discipline, and release restraint.
A practical essay on starting AI-assisted development from validation surfaces, not just implementation prompts.
A practical essay on deciding whether an AI-built MVP should be hardened, split, partially rebuilt, paused, or continued.
A practical essay on the difference between generating code changes and governing whether those changes should be accepted.
A practical essay on using AI in small teams without surrendering architectural judgment, validation, review ownership, or release responsibility.
A practical essay on what an AI development audit reviews, what the buyer receives, and why evidence should guide the next development slice.
A practical essay on why AI-built and AI-assisted apps can appear functional before architecture, tests, side effects, and deployment boundaries are stable.
A practical guide explaining why audit review should precede repair, hardening, or implementation decisions.
A practical essay on why validation commands, E2E checks, smoke tests, diff review, and human release judgment matter in AI-assisted development.
A Human Orientation essay on meaning, value, judgment, action, and consequence under complexity.
A Human Orientation essay on why AI systems still need human review, value judgment, restraint, accountability, and release governance.
A concise explainer for buyers who want to see what the workflow audit produces before intake.
A public pre-audit diagnostic for recognizing workflow drift, validation gaps, ownership confusion, and audit-relevant repo risk.
A practical workflow for keeping AI-assisted development bounded, reviewable, evidence-driven, and separated from deployment decisions.
A practical resource for adapting test-driven development to AI-generated and AI-assisted code.
A workflow-selection guide for matching AI-assisted development modes to repo maturity, risk, validation, and review capacity.
A practical guide for checking auth, data flow, tests, observability, and deployment readiness before launch.
A checklist for making a repository safer and more governable before agent-assisted work begins.
A grounded FAQ for qualified buyers who want clear answers before they submit intake.
An illustrative teardown that shows how WinMedia classifies risk on an AI-built MVP.
A redacted sample report demonstrating the evidence-based findings, severity levels, business implications, and remediation roadmaps delivered by the Repo Audit service.
Consulting path
The resources are meant to support a buyer decision, then hand off cleanly into the AI Development Workflow Audit if the fit is there.
These resources are educational and diagnostic. They are not a security certification, launch guarantee, or substitute for human review.