
Modern AI models trained on millions of repositories produce code that follows established patterns. VULK output typically includes:
Correct component structure — React components are split into logical units. Navigation, layout, data display, and forms are separated properly.
TypeScript types — Proper interfaces, typed props, API response types, and correct generic usage.
Tailwind CSS conventions — Responsive-first patterns, consistent spacing, proper design system usage.
Accessible markup — Semantic HTML, aria-labels, keyboard navigation.
File organization — Framework conventions: React gets components/, hooks/, utils/. Flutter gets Clean Architecture layers. Laravel gets MVC structure.
Business logic edge cases — The happy path works well. Edge cases like concurrent edits or race conditions in payment flows need manual thought.
Error handling depth — Generated code catches errors at the component level. Production apps need strategic error boundaries around API calls and third-party integrations.
Data validation — Basic type validation is generated. Business rules (unique email check, stock quantity limits) need explicit prompts or manual addition.
Performance at scale — Generated queries work correctly but may need index optimization for large datasets.
Instead of manual editing, use targeted follow-up prompts:
Error handling:
Add error boundaries around API calls in the Dashboard. Show friendly error messages with retry buttons.
Validation:
Add form validation to registration. Email must be valid, password 8+ chars with one uppercase and number. Show inline error messages.
Loading states:
Add skeleton loading states to the customer table and metric cards. Show shimmer effect while loading.
Before deploying, verify:
Some changes are faster by hand: changing a color value, fixing a typo, adjusting padding. For structural changes (new pages, data model changes, new features), use follow-up prompts — VULK maintains codebase consistency better than scattered manual edits.
VULK handles the routine 80% automatically. The areas needing attention — edge cases, error handling, validation depth, and scale performance — are the same areas that need attention in any codebase. Focus your expertise on the 20% that makes your app unique.
Published by João Castro · 6 min read