Case study

devtools2026

Craft Audit

Code quality auditing tool that analyzes repositories for best practices, maintainability, and technical debt indicators.

Building the tools that build the tools

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

DevTools Arsenal✦II-Class Star

📦OPEN SOURCE

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Evidence

System surface

No public screenshot on file—generative preview stands in for the visual layer.

Signature viewpreview

Story arc

How this shipped

Building the tools that build the toolsThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Code review catches bugs but misses systematic quality issues. Technical debt accumulates invisibly until refactoring becomes urgent.

II · Build

The craft

Built automated analysis for code complexity, dependency health, test coverage gaps, and maintainability scores. Tracks trends over time.

III · Proof

What moved after launch

Quantifies technical debt for prioritization. Trend tracking shows quality trajectory. Integrates with CI/CD for continuous monitoring.

Inventory

Stack & signals

Node.jsTypeScript

Tell me what you're building

If you need someone who can own UI, systems, and AI integration without losing the plot—I'm listening. Contract, advisory, or full-time: we'll find the right shape.

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Self-running breaking change monitor for external APIs. Automatically detects schema changes, deprecations, and breaking updates with zero manual intervention.

Keep exploring

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Consent Compass

GDPR and CCPA compliant cookie consent solution. Drop-in banner with preference management, granular consent categories, and compliance audit trail.

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Published npm CLI that gives your codebase a voice — speaking as it in first person. 65 commands, 14 MCP tools for Claude Desktop integration, and 12 personality modes (mentor, critic, storyteller, and more). Code archaeology, bus factor analysis, dead code detection, complexity hotspots, and impact analysis — all narrated with AI-powered context.