Barcode prefixes identify issuing organisation, not country of manufacture

·1 views

A widely repeated claim holds that the first digits of a barcode reveal where a product was made, but this is factually incorrect according to GS1, the organisation that issues the numbers. The prefix actually identifies the GS1 member organisation that assigned the number to a brand owner, which is typically based in the company's home country but does not reflect where goods are produced. A developer found no existing dataset that accurately represented this distinction and built an open-source npm and Python package called gs1-prefix to correct the record. The package uses GS1's own prefix list as its primary source and flags two ranges — 612 and 894 — where GS1's data conflicts with Wikipedia rather than silently resolving the discrepancy. The dataset and a lookup tool are freely available, with raw CSV, JSON, and DCAT-AP files also accessible via an open CORS endpoint.

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 to Fix Flutter App Jank: Key Performance Optimization Techniques

Flutter apps can suffer from dropped frames and jank when widget rebuilds, JSON parsing, image decoding, or complex layouts exceed the 16ms frame budget on 60Hz displays. Developers are advised to profile apps using flutter run --profile and Flutter DevTools rather than relying on debug builds, which do not reflect real-world rendering performance. Unnecessary widget rebuilds can be reduced by using const constructors, splitting large widgets into smaller sections, and applying state-management tools like BLoC's buildWhen to limit UI updates. Heavy computations such as large JSON parsing, encryption, or data transformations should be offloaded to background isolates to avoid blocking the UI thread. Additionally, lazy list builders like ListView.builder and careful use of layout constraints can further reduce rendering overhead.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Tutorial: How to Build a Flutter Video Call App Using Agora RTC SDK

A new developer tutorial published on DEV Community walks through building a real-time video calling app in Flutter using the Agora RTC SDK (agora_rtc_engine 6.6.3). The guide covers key steps including initializing the Agora engine, requesting camera and microphone permissions, joining a channel, and rendering both local and remote video streams. It also demonstrates controls for muting audio and toggling video without leaving a call. For production use, the tutorial advises generating short-lived tokens from a secure backend rather than embedding credentials directly in the app. The guide recommends isolating Agora-specific code within a dedicated service layer to keep business logic independent of the SDK.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Guide outlines layered BLoC architecture for scalable Flutter apps in production

A technical tutorial published on DEV Community details an advanced BLoC-based architecture pattern designed for production-grade Flutter applications. The guide emphasizes separating concerns across distinct layers — including presentation, domain, application logic, and data infrastructure — to prevent tight coupling as apps scale. It recommends structuring dependencies so that outer layers depend on stable inner abstractions, keeping business logic independent of specific data sources like Dio, Firebase, or SQLite. The tutorial covers practical implementation of use cases, repository contracts, data models, and explicit sealed state classes to make UI behavior predictable. The approach is intended to help Flutter developers maintain cleaner, more testable codebases as application complexity grows.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Cumora Builds AI Agents as Full Team Members With Coordination Controls

Cumora is an open-source, cross-platform chat application that integrates AI agents alongside human users in direct messages, group chats, a Kanban board, and a calendar. Unlike conventional chat tools, it treats agents as persistent team members with their own identities, memory, email addresses, and the ability to claim tasks. To prevent agents from acting on outdated information or duplicating work, the platform uses a freshness gate that holds stale replies until newer context is reviewed, along with atomic task claims and a triage model. Cumora offers two execution modes: a managed cloud path using the OpenAI Responses API, and a bring-your-own-agent option where users run local models on their own hardware without sending provider keys to the server. The repository documents the architecture in detail but does not provide independent evidence that agent teams outperform single-agent or human-led workflows.

0 comments Read more at DEV Community