EverShop 2.2.1 launches with page builder, blog module, metafields, and React 19

·2 views

Open-source e-commerce platform EverShop has released version 2.2.1, its most significant update since version 2.0, incorporating four months of development work. The release introduces a drag-and-drop visual page builder at /admin/page-builder, a built-in blog module with posts, categories, and tags, and typed metafields attachable to products, orders, customers, and more. Other additions include a multi-language storefront with runtime-based localization requiring no rebuild, rebuilt shipping and fulfillment tools, cloud storage support, product recommendations, and an upgrade to React 19. The update also patches several security vulnerabilities, making prompt upgrading advisable for existing users. Store owners upgrading from earlier versions should back up their databases first, as 31 automatic database migrations across 10 modules will run on first start.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

How developers can build practical color palettes without deep design expertise

A developer guide on DEV Community outlines a practical approach to choosing colors for web projects without relying on complex color theory. The author recommends using only two or three color scales derived from a single hue value, borrowing the eleven-shade system popularized by Tailwind CSS. Industry context guides hue selection — blues for finance, greens for health, purples and oranges for creative work — though these are treated as starting points rather than strict rules. Using the OKLCH color model, developers can define a single hue variable and programmatically generate an entire harmonious shade scale. The guide also suggests aliasing neutral tones to a consistent name like --gray so palette updates require changing values in one place rather than across every template.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Python's GIL Explained: When Threads Help and When They Don't

CPython's Global Interpreter Lock (GIL) is a mutex that permits only one thread to execute Python bytecode at a time, a design choice rooted in the language's reference-counting memory model. Because blocking operations like network calls and file I/O release the GIL, threads remain effective for I/O-bound tasks but offer no speed gain for CPU-bound pure Python work. For CPU-intensive workloads, developers should turn to multiprocessing, NumPy, or Numba, which either bypass or release the GIL during heavy computation. PEP 703 introduced an experimental free-threaded CPython build (available in 3.13t and 3.14t), though the standard python.org release still ships with the GIL enabled. Widespread adoption of the free-threaded build depends on third-party packages releasing compatible wheels.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Builds AI-Powered Japan Stock Pipeline That Disproved Three Strategies

A freelance web developer in Japan built an automated stock research pipeline using Claude Code, the J-Quants API, and a macOS cron job to backtest trading strategies on Japanese equities. To avoid bias, he imposed a strict rule in the AI's instructions: no predictions allowed, limiting Claude Code to data structuring, metric computation, rule-checking, and sourced explanations. Over several weeks, the pipeline systematically invalidated three strategies — a classic breakout/RSI approach that returned just 15.4% against the Nikkei's 138.8% benchmark gain, a large-cap post-earnings drift strategy that showed no exploitable edge, and a promising small-cap earnings drift pattern that collapsed once a minimum liquidity filter was applied. The small-cap strategy showed strong backtested returns until stocks with under ¥100 million in daily trading volume were excluded, leaving only 33 illiquid, untradeable positions with negative average returns. The developer highlights the project as a case for using AI as a disciplined engineering partner rather than a forecasting tool, with negative results framed as the pipeline's most valuable output.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Use PostgreSQL LISTEN/NOTIFY for Live Updates Without Extra Infrastructure

PostgreSQL includes a built-in pub/sub mechanism called LISTEN/NOTIFY that allows apps to push live updates to connected clients without needing Redis or a separate message broker. One session triggers pg_notify on a channel, and any session actively listening on a persistent connection receives the payload once the transaction commits. Key limitations include an 8,000-byte payload cap, 63-character channel name limit, and no message persistence or delivery guarantee, making it suitable as a change signal rather than a reliable queue. Because pooled connections get recycled, a dedicated long-lived connection that bypasses transaction-mode poolers like PgBouncer is required for LISTEN to work reliably. A single shared LISTEN connection can multiplex multiple logical channels and feed per-client Server-Sent Events streams, with careful reconnect logic needed to avoid race conditions.

0 comments Read more at DEV Community