Query optimization maximizes performance through efficient execution plans. I analyze queries with EXPLAIN ANALYZE. Understanding sequential scans vs index scans guides optimization. Join order affects performance dramatically. Subquery optimization v

The default http.Client is deceptively easy to misuse. I always set a request timeout (either via client.Timeout for simple cases or context.WithTimeout per request) and I tune the Transport so we reuse connections aggressively without leaking idle so

When a child record changes, you often want the parent cache key to change too. touch: true is a clean primitive for that. It keeps fragment caching sane without complex dependency graphs.

Normalize before validation to avoid “same email, different casing/whitespace” bugs. Keep normalization deterministic and small; put it in the model so imports, consoles, and controllers all behave the same.

Double-submits are easy to trigger on slow connections, especially with Turbo where the page doesn’t visibly reload. I add a Stimulus controller that listens to turbo:submit-start and turbo:submit-end events on the form. On submit start, disable the s

The default browser confirm() dialog is ugly and doesn't match your design system. Turbo provides hooks to intercept confirmation dialogs and show custom modals instead. I listen for the turbo:before-fetch-request event, check if the element has data-

Autosave drafts without fighting Turbo: send a fetch request with CSRF token, keep it separate from the main form submit, and surface “Saved” status unobtrusively. This is a great fit for content editors.

Grafana visualizes Prometheus metrics through configurable dashboards. Dashboard JSON models define panels, queries, and layouts programmatically. Panel types include timeseries for graphs, stat for single values, table for tabular data, and gauge for

Laravel Vite (replacing Mix) compiles and bundles frontend assets with hot module replacement during development. I define entry points in vite.config.js—typically resources/js/app.js and resources/css/app.css. The @vite directive includes compiled as

Aggregation performs database-level calculations efficiently. I use aggregate() for single results across entire queryset (like average or total) and annotate() to add calculated fields to each object. Common aggregates include Count, Sum, Avg, Min, a

If a feature is fundamentally “live” (comments, activity), I reach for model broadcasts. Rails can broadcast Turbo Stream fragments on after_create_commit, and the UI subscribes with turbo_stream_from. The beauty is that it’s still server-rendered HTM

Frontend errors are inevitable, so I’d rather control the blast radius. I wrap unstable sections with an ErrorBoundary that shows a friendly fallback and captures context for reporting. I also avoid spamming the error tracker by including a fingerprin