The ProdFix Blog

Core Web Vitals explained: LCP, CLS, and INP — what they measure, why Google uses them, and what scores to aim for.

Rate limiting explained for solo founders. What it is, how to implement it, and what happens without it.

Webhooks explained in plain English. How they work, where they break, and how to monitor them.

CDN explained for solo founders. What it does for performance, which one to use, and when it's worth the cost.

Canary deployments roll out to a subset of users first. Here's how they work and when solo founders need them.

The circuit breaker pattern prevents cascading failures in production. Here's what it is and how to implement it.

Blue-green deployments eliminate downtime during releases. Here's what they are and a simpler alternative.

Astro is popular for content sites. Here's the production errors solo founders encounter and how to fix them.

Remix has a unique error boundary model. Here's how to use it correctly to build resilient production apps.

Nuxt.js production issues are often SSR-related. Here's the complete guide to finding and fixing them.

SvelteKit deployment involves adapter-specific gotchas. Here's how to deploy cleanly every time.

Express.js in production requires more setup than development. Here's the complete production guide.

Fastify is faster than Express but has different production requirements. Here's the setup guide.

TanStack Router has different patterns than React Router. Here's what breaks in production and how to handle it.

Hono on Cloudflare Workers is fast but has unique production constraints. Here's the deployment guide.

Drizzle ORM in production has specific pitfalls. Here's how to handle migrations, errors, and query performance.

tRPC simplifies type-safe APIs but has specific error handling patterns. Here's the production-safe approach.

OpenAI API errors are inevitable. Here's how to handle rate limits, timeouts, and failures gracefully.

When you add AI features to your SaaS, new failure modes appear. Here's how to monitor them.

Building with Claude API for production? Here's the best practices for reliability, cost, and error handling.

AI features have different failure modes than regular features. Here's the rollout strategy that catches issues early.

AI API costs can spike unexpectedly. Here's how to monitor and control costs in production.

Retrieval-Augmented Generation systems fail in specific ways. Here's how to build reliable RAG for production.

Vector databases power AI features. Here's how to run them reliably in production as a solo founder.