rails

For notifications/messages, it’s nice to mark items read when they actually enter the viewport. IntersectionObserver + Stimulus keeps it lightweight, and Turbo streams can update badges in real time.

I enable strict loading when I want N+1 bugs to fail loudly during development instead of quietly shipping to production. In Enable strict_loading on associations, I mark the relationships that routinely get iterated (has_many :line_items and belongs_

For small UX touches like “3 minutes ago”, I don’t want to pull in a giant date library. A Stimulus controller can use Intl.RelativeTimeFormat plus a lightweight difference calculation. The server renders the ISO timestamp (via time_tag), and the cont

When updates can happen from multiple places, model-level broadcasts keep the UI consistent across tabs without sprinkling stream logic in controllers. Use after-commit hooks so broadcasts only occur once the write is durable.

Client-side validation provides instant feedback, but server-side validation is the source of truth. I use Stimulus to add real-time validations (format, length, required fields) while still rendering server errors when validations fail on submit. The

Counters (likes, votes, bookmarks) are classic UI glue. I keep the counter itself in a small partial with a stable id and update it via turbo streams on create/destroy. The controller can render a turbo_stream.replace of the counter plus (optionally)

Properly configured connection pools prevent ActiveRecord::ConnectionTimeoutError during traffic spikes while avoiding resource waste. The pool size should match your application's concurrency needs—for Puma with 5 threads per worker, I set pool: 5 in

When a form submits inside a Turbo Frame, a normal redirect can sometimes feel odd (especially if the redirect response doesn’t include the matching frame). A clean approach is to set the Turbo-Location header for Turbo requests. Turbo interprets it a

PostgreSQL's jsonb columns provide schema flexibility for semi-structured data without sacrificing query performance. I use JSON columns for user preferences, feature flags, or metadata that varies by record type. Unlike traditional EAV patterns, json

A small UX win: disable the like button immediately and re-enable on failure. Turbo gives you events; Stimulus coordinates button state and the server still returns the canonical count.

When a dependency is failing, you don’t want to keep hammering it. A simple circuit breaker trips after N failures and short-circuits for a cooldown window. It protects your app and your vendor.