Google's Jetpack Compose shift puts Android test automation suites at risk

·1 views

Google officially moved Android UI development to Jetpack Compose on May 19, placing the decade-old XML-based approach into maintenance mode with no new features. Unlike XML layouts, Compose does not generate a traditional View hierarchy; instead, it produces a semantics tree, breaking how most automation tools locate screen elements. Testing frameworks like Appium can still interact with Compose apps, but only if developers manually add specific configuration steps — something most migrating teams have not yet done. As a result, existing test scripts that rely on resource IDs can silently fail on Compose screens, quietly invalidating years of recorded automation logic. The shift mirrors challenges the industry faced with Flutter and highlights a growing need for framework-agnostic testing approaches.

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)

Next.js vs NestJS: How to Choose the Right Architecture for Your App

Next.js and NestJS serve different purposes — Next.js is a React framework capable of handling basic backend tasks, while NestJS is a dedicated backend framework built for structured, scalable server-side architecture. For small to medium projects with a single frontend, keeping all logic within Next.js is often simpler and sufficient. However, as applications grow to serve multiple clients — such as mobile apps, admin tools, or public APIs — a separate NestJS backend provides a shared, client-agnostic API layer. Complex backend operations like job queues, scheduled tasks, and large-scale data processing also benefit from the dedicated structure NestJS offers. The decision ultimately hinges not on the number of API endpoints, but on the scale and complexity of the backend logic involved.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How Moving Averages and RSI Work Together to Identify Market Trends

Moving averages (MA) and the Relative Strength Index (RSI) are two widely used technical analysis tools that help traders filter market noise and identify price trends. Moving averages smooth price data over a set period, with a short-term MA crossing above a long-term MA signaling potential bullish momentum, known as a golden cross. RSI is a momentum oscillator scaled from 0 to 100, where readings above 70 indicate overbought conditions and below 30 suggest oversold territory. Combining both indicators — such as a bullish MA crossover alongside an RSI rising from oversold levels — can provide higher-confidence trade signals. Traders are cautioned against using RSI thresholds in isolation, as RSI can remain elevated for extended periods during strong bull markets and should always be confirmed with price action or MA signals.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How WebSockets and Redis Work Together to Build Resilient Real-Time Systems

Modern real-time applications demand low latency, high availability, and seamless user experiences, making robust architecture essential. WebSockets address this by maintaining persistent, full-duplex TCP connections that eliminate the overhead of repeated HTTP handshakes. Redis complements WebSockets by acting as a distributed state manager and pub/sub broker, allowing messages to reach all connected clients regardless of which server instance they are on. Together, the two technologies enable horizontal scaling, session persistence, and automatic failover through features like Redis Sentinel and Redis Cluster. The approach also incorporates security, load balancing, backpressure management, and client-side reconnection strategies to ensure system resilience.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Essential Tools and Strategies for Building a One-Person SaaS Business

Solo SaaS founders face the challenge of managing development, marketing, and customer support entirely on their own, making smart tool selection critical. Experts recommend adopting a microservices architecture over monolithic systems to improve scalability and reduce maintenance overhead. Automation platforms like Zapier and infrastructure tools like Terraform help minimize manual work, allowing a single founder to operate efficiently without growing headcount. Cloud services such as AWS and Google Cloud provide scalable hosting and AI capabilities that reduce the need for dedicated server management. Tracking key metrics like conversion rates and customer lifetime value is highlighted as essential for maintaining profitability and making informed strategic decisions.

0 comments Read more at DEV Community