Page 298 - Maxim Mironjuk

Local Git hooks live in .git/hooks and are never versioned with the repository, so every developer has to set them up individually and teams end up with no reliable way to enforce code quality before a commit. Husky distributes hooks automatically through npm, lint-staged limits checks to changed files, and commitlint enforces clean commit messages, all without manual setup.

With a catalog of hundreds of thousands of products, a full reindex costs time many shops simply cannot afford. Anyone who consistently applies partial reindex strategies processes only the records that actually changed and keeps indexers within a manageable time frame even as the catalog grows large.

Skeleton screens and spinners solve the same technical problem, bridging the gap between a user action and visible content, but they differ sharply in how they affect perceived wait time. This article compares both approaches, shows when each one is the better fit, and walks through implementing content-aware skeletons as React Suspense fallbacks.

An order confirmation or a registration email belongs to the most critical yet least frequently tested paths of an online store, because email delivery happens outside the direct reach of a browser test and lands asynchronously, with unknown delay, in a foreign system. A test SMTP server like Mailhog or Mailtrap solves exactly this problem by intercepting outgoing emails within the test environment, exposing them through its own API, and making an email's content, subject, and links just as precisely testable as a DOM element in the browser.

A single common table expression already makes a query noticeably more readable than a deeply nested subquery, but the real payoff shows up once several CTEs build on each other in sequence, breaking a complex analysis into clearly named, traceable intermediate steps. That readability comes at a price though, since not every database treats a chain of CTEs the same way technically: some materialize each CTE as an independent intermediate result, others transparently fold them into the surrounding query. This article covers how to structure multi step CTE chains sensibly, how materialization behavior differs between PostgreSQL before and after version 12 as well as other databases, and at what point a CTE chain becomes a genuine performance problem in practice.

conic-gradient() produces color transitions that rotate around a center point instead of running linearly or radially, making it a surprisingly precise tool for pie charts, loading animations and color wheels. Combined with custom properties updated by JavaScript, it becomes a dynamic visualization technique that needs no SVG paths and no canvas drawing logic at all.

Dragonfly is an in-memory data store introduced in 2022 that positions itself as a compatible replacement for Redis while internally pursuing a completely different architecture. Instead of a single thread, Dragonfly spreads work across multiple cores using a shared-nothing approach, uses a custom memory structure called Dashtable, and promises noticeably faster snapshots than Redis' fork-based RDB approach. This article explains how this architecture works technically, how solid the performance claims really are, and for which Magento operating scenarios a trial run already makes sense today.

Testing responsive layouts by randomly trying dozens of viewport widths wastes test time and still misses the spots that matter. Bugs almost always appear exactly at the breakpoint boundaries defined in your Tailwind design system, precisely where navigation, grid columns, and font sizes switch. Targeted boundary tests in Cypress and Playwright secure exactly these transitions automatically and reliably.

GraphQL subscriptions enable realtime communication over persistent connections, but they come with substantial scaling and infrastructure requirements. This article explains the concept, the transport options, the design decisions, and when subscriptions are actually the right choice.

Anyone processing customer data in a Magento store must be able to prove, if it ever comes to that, who accessed which data and when. That is exactly what audit plugins are for: they log connections, queries, and administrative changes at the database level, regardless of whether access happened through the Magento application, a reporting tool, or straight from the command line. This article shows how MySQL Enterprise Audit and the free alternative, the Percona Audit Log Plugin, work, how to avoid log flood with targeted filters, and which GDPR-relevant use cases stand behind it.