MyZubster Builds Privacy-First Metaverse Linked to Circular Marketplace

·2 views

MyZubster World is a metaverse platform under development that prioritizes privacy by embedding access controls and identity verification directly into its architecture. The platform supports verified and guest character identities, with server-side authentication ensuring that user progress and presence sync across devices and sessions. Virtual rooms follow a structured lifecycle from draft to archive, with three access tiers — public, authenticated, and private — enforced server-side to limit unauthorized data exposure. Private room invitations use cryptographically generated, hashed codes with one-time redemption and 24-hour expiration to prevent misuse. The metaverse is also designed to serve as a visual gateway into the MyZubster circular marketplace, connecting virtual exploration with real-world commerce.

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)

Five Hidden Bugs in a Polling Architecture and How Each Was Fixed

A code audit of a Python polling engine uncovered five critical bugs that could silently cripple system observability and error handling. Key failures included a missing PollStats.snapshot() method causing AttributeError on every metrics read, and a PollResult.down() factory that raised TypeError when error handlers passed an unexpected keyword argument. Backoff logic was effectively dead code for rate-limited and timeout scenarios, causing the engine to retry at full speed and worsen rate-limiting conditions. Ten consecutive timeouts failed to trigger a STUCK alarm because only empty-result counters advanced the threshold, leaving the system reporting healthy while broken. The hardened implementation addresses all five issues with explicit method signatures, bounded memory via deque and __slots__, and unified failure-count checks for stuck-state detection.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Agent-Driven RPA Tools Emerge to Automate Cross-System Desktop Workflows

GitHub Trending recently highlighted a surge in unattended process automation tools, including Alibaba's open-code-review, which gained over 1,500 stars in one day by combining rule-based pipelines with LLM agents for automated code review. However, most trending tools remain siloed, automating tasks only within their own platforms such as code review or cybersecurity investigations. The real gap lies in cross-system desktop workflows — repetitive tasks that span multiple applications, logins, and UIs, which can consume hours of an operations worker's day. iFlytek's astron-rpa aims to address this by offering an agent-ready RPA suite capable of unattended automation across browsers, desktop apps, and file systems. When paired with iFlytek's astron-agent platform, the combination allows AI agents to break down high-level tasks while the RPA engine executes each step deterministically across systems.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

WordPress wp-config.php Constants: What WP_DEBUG and Memory Limits Actually Control

WordPress uses a PHP file called wp-config.php to store configuration constants that must be loaded before the application boots, making them separate from dashboard settings stored in the database. Three debug-related constants — WP_DEBUG, WP_DEBUG_DISPLAY, and WP_DEBUG_LOG — control whether PHP errors are detected, shown to visitors, or written silently to a log file. A common production setup enables WP_DEBUG and WP_DEBUG_LOG while disabling WP_DEBUG_DISPLAY, so errors are recorded without being exposed to site visitors. WordPress also defines two memory constants, WP_MEMORY_LIMIT for front-end requests and WP_MAX_MEMORY_LIMIT for heavier admin tasks, layered on top of PHP's own server-wide memory ceiling. Exceeding either memory limit causes PHP to terminate the request immediately, making correct configuration of these constants critical for site stability and error diagnosis.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Build Verifiable, Production-Ready AI Agents Beyond the Demo Hype in 2025

A technical guide published on DEV Community warns that many AI agent demos in 2025 rely on polished visuals and animated interfaces while lacking reliability and transparency under the hood. The article argues that truly trustworthy AI agents must exhibit deterministic behavior, traceable execution logs, and reproducible outcomes to support debugging, compliance, and user trust. It outlines a four-component architecture — planner, executor, observer, and logger — with each part designed to expose hooks for testing and instrumentation. Tools like OpenTelemetry are recommended for standardized tracing that integrates with existing observability stacks. The piece cautions developers against the 'purple gradient' trap, where visual appeal masks absent error handling, poor fallback logic, and no mechanism for users to inspect what the system actually did.

0 comments Read more at DEV Community