I fix what AI built.

Architecture Audit

"We need clarity before we touch anything."

A deep review of your codebase — structure, dependencies, pain points. You get a clear picture of what's wrong and what to fix first.

You get

• — Prioritized issue report (severity + effort + impact)
• — Dependency and coupling map
• — Refactoring roadmap with quick wins
• — 60-min walkthrough with your team

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Refactor & Stabilize

"We need stability while we keep shipping."

I restructure your components, establish patterns, and add guardrails so your team can ship with confidence again.

You get

• — Restructured component architecture
• — Shared patterns and conventions
• — CI guardrails and coverage ratchet
• — Weekly memo: what changed, what risk dropped, what's next

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Production Hardening

"We're close to launch, but production will punish us."

I fix what's breaking, speed up what's slow, and prepare your application for real users at real scale.

You get

• — Critical bug resolution and root cause removal
• — Performance report (before/after)
• — Deployment pipeline with gates and rollback plan
• — Release readiness checklist

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Backbone and CoffeeScript to React and GraphQL — a controlled, incremental migration at crealytics that never stopped product delivery. Not a rewrite. A transformation.

A single prop changes the rendered element — Button becomes a link, Box becomes a section — with full TypeScript inference and ref forwarding. Applied consistently across 42 components.

42 primitives compose into 18 business-specific widgets. A pricing page isn't a monolith — it's Box, Typography, Button, and Card. Consistent by construction, not by convention.

A testing discipline where the quality bar can only rise. Every merged pull request either maintains or raises the coverage threshold. Once a line is tested, it stays tested.

Architecture guides, handoff protocols, and permission boundaries that turn AI into a disciplined contributor. AI follows the established patterns — not its own instincts.

How do you test something that answers differently every time? Record real AI responses as fixtures. Replay them deterministically in CI. Full-fidelity testing of AI pipelines — zero cost, zero flakiness.

AI outputs shift with every model update. A sentinel compares each pipeline run against golden snapshots — when structure drifts beyond thresholds, the build breaks before it reaches production.

A React library that lives inside any host application without conflicts. Namespaced CSS, Shadow DOM compatibility, iframe-less embedding — the component adapts to its host, not the other way around.