Page 27 - Maxim Mironjuk

Claude can take a lot of routine work off your hands in Magento 2 module development: setting up folder structures, generating plugin and observer skeletons, and explaining unfamiliar core classes. Giving it the right DI conventions and service contract patterns as context produces noticeably more usable suggestions than generic PHP requests.

container-type: size extends container queries into the block direction, but it enforces genuine size containment with noticeable side effects: without an explicit height, the container collapses to zero. Understanding when size is the right choice instead of inline-size avoids the most common layout bugs with this feature.

Partitioning and sharding show up as synonyms in architecture discussions constantly, even though they technically solve fundamentally different problems. Partitioning splits a large table within a single database instance into smaller, physically separate segments, while sharding distributes data across multiple independent database instances. Anyone who does not cleanly separate the two either underestimates the operational overhead of sharding or misses the chance to solve a problem that needs no distributed system at all with the far simpler tool, partitioning.

A POST request is quick to fire off, the real work starts afterwards: updating the cache, invalidating affected queries, cleanly rolling back on failure. useMutation offers a clear API pattern for this instead of scattered handler logic.

Elasticsearch ships with two structurally different, often confused caching mechanisms that both improve response time for repeated requests, but operate on completely different levels: the shard-level request cache, which stores complete search responses including aggregations on the node side, and the node query cache, often also called the shard query cache, which caches individual, recurring filter clauses at the shard level. Anyone trying to improve performance for a facet-heavy Magento store page with layered navigation needs to understand which of the two caches actually applies in which situation, how both get invalidated on write operations, and how query structure can be shaped deliberately so both caching layers get used optimally.

Once an application processes messages asynchronously through Symfony Messenger, a failing message is not the exception, it is the normal case: an external service becomes briefly unavailable, a database connection drops, or a worker gets restarted mid-processing. Anyone who blindly trusts the default settings either loses messages because they are given up on too early, or overloads an already struggling system with retries that fire too often. This article explains exactly how Messenger's retry strategy works, how the failed transport acts as a second safety net, and how to configure both mechanisms deliberately for a real use case.

A distributed GraphQL schema without a central checkpoint will eventually be broken by a single team without anyone noticing. A GraphQL schema registry makes every schema change visible, testable, and blockable before it reaches production traffic, whether you run Apollo Studio as a managed service or Hive as a self-hosted open source alternative.

The Back/Forward Cache keeps a complete page state in memory so that navigating back or forward doesn't require a full reload. This article covers common blockers that prevent bfcache, how the Chrome DevTools test tool helps track them down, and just how large the measurable performance gain actually is.

Why a real DELETE is often the wrong choice for referenced data, and how to build a robust soft delete pattern with a Doctrine filter, a deletedAt column, and clean unique constraints.

Running Magento and Hyvä stores without reliable end-to-end tests means trusting pure luck at checkout, in product search, and with every deployment instead of solid confidence. This article covers Cypress fundamentals for Magento frontends from the ground up: installation, configuring baseUrl and environment variables for dev, staging, and production, a clean project structure, and your first working test against a real page.