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How to test if a mocked component receives the correct props in Jest and RTL (new since React 19)

To test if a mocked component receives the correct props in Jest and RTL (since React 19), the approach has changed.
Initially, set up a simple example with a component that takes an array of names, calling a component.
In testing, mock the component and verify its invocation to ensure proper isolation.
When testing props, a new test checks if was called with the correct props in React 19.
In React 19, the second argument is now required to be undefined while it used to be an empty object {} pre-React 19.
A practical example demonstrates the usage of expect.objectContaining to accurately validate props.
An improvement suggestion is to utilize expect.objectContaining for testing specific props while allowing flexibility for other properties.
Understanding the changes in React 19 regarding the second argument for prop validation in mocked components is vital for accurate testing.
Ensure tests are updated post-React 19 to align with the new requirement of using undefined as the second argument for prop validation.
The article emphasizes the importance of adapting testing approaches to changes in React to maintain accurate component testing.

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Medium

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Cloud Dev Is (Almost) Killing the Laptop — But Not the Way You Think

The debate over shifting to cloud development environments from local setups is ongoing in the tech industry.
Cloud development offers convenience but still lacks in areas like speed, offline reliability, and control compared to local development.
While cloud IDEs promise seamless setups, for serious projects with legacy code and complex infrastructures, local development still prevails.
Choosing the right tool for the right job is essential, whether it's a cloud environment or a well-tuned local machine.

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Medium

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The Perfect Fives Math Riddle

The news article discusses a math riddle about finding combinations of five natural numbers where their sum equals their product.
The author shares a strategy to approach the puzzle by starting with all numbers as 1 and then considering all numbers as 2.
The analysis shows that starting with all ones does not lead to a valid solution, while considering all twos results in a much greater product than the sum.
The article encourages readers to explore different strategies to solve the math riddle.

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Javarevisited

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Top 6 Free Data Structure and Algorithm Courses for Java and C Programmers

Good knowledge of data structure and algorithm is essential for programmers to excel in their careers and perform well on the job.
Understanding essential data structures like arrays, strings, linked lists, trees, and maps, as well as advanced structures like Tries and AVL trees, is crucial.
Knowing when to use the appropriate data structure and being able to calculate the CPU and memory costs of code are key skills for programmers.
Using the right data structure can significantly enhance the performance of an algorithm.

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Dev

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🚀 From Frustration to Flow: How I Finally Mastered Debugging Like a Pro

Transitioned from considering debugging a frustrating task to mastering it efficiently by following a 5-step debugging mindset.
Realized the importance of isolating bugs rather than guessing during debugging process.
Utilized tools like VSCode Breakpoints, React DevTools, and essential techniques like adding minimal logs and using rubber duck debugging.
Acknowledged that debugging is not just a skill, but a superpower that significantly impacts a developer's career growth.

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Dev

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So I Hooked My AI Agent Up with Notion. Here's What Happened.

Nomadev explores the futuristic concept of connecting an AI agent to Notion for automation purposes.
By integrating CAMEL-AI's general purpose agent with Notion's Model Context Protocol (MCP) server, users can now automate tasks within Notion through a single prompt.
The process involves preparing Notion for the agent by creating an integration, accessing the Notion API key, sharing a page with the agent, and configuring CAMEL's MCPToolkit to connect to Notion.
With this setup, users can create OWL agents that can update Notion pages based on prompts, opening up possibilities for automating various tasks like meeting summaries, cross-referencing documents, and updating planners.

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Medium

I Do This Daily To Make $3,000+ Every Day Online

A successful online entrepreneur shares their daily routine focused on activities that drive traffic, generate leads, and convert sales.
The routine includes morning engagement with social media, content creation, marketing and promotion, engagement with the audience, and analytics and optimization.
Income streams involve affiliate marketing, selling digital products, sponsored content, and advertising.
Tips for success include consistency, providing value, and staying up-to-date with industry trends.

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Dev

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Explore generating tests with Playwright MCP Server and DeepSeek R1

The test case focuses on Article CRUD Operations using Playwright MCP Server and DeepSeek R1.
The test case includes steps for creating, editing, and deleting an article while verifying the results after each major step.
Pros of lacking a design pattern include readability and ease of follow, making it suitable for Proof of Concept.
Cons of lacking a design pattern involve a lack of abstraction and scalability for larger test suites, becoming unmaintainable quickly.

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Dev

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6 Common Postgres Beginner Mistakes and Best Practices

Postgres is the most popular open-source relational database with almost 40 years of development, making it suitable for applications of all sizes.
Common beginner mistakes in Postgres include not understanding VACUUM, forgetting to close connections, writing inefficient queries, missing primary keys, overcomplicating schema design, and overlooking the importance of backups.
To address challenges like downtime during schema upgrades, backup complexities, and scaling issues, Neon offers a serverless PostgreSQL solution with features such as schema migration tools support, autoscaling, automatic backups, and point-in-time recovery.

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Medium

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Why Claude Opus 4 and Sonnet 4 Are the Top Coding Partners in the World?

Anthropic unveiled Claude Opus 4 and Sonnet 4 at its developer conference, challenging competitors in AI coding solutions like OpenAI's GPT-4 and Google's Gemini.
Claude Opus 4 excels in sustained coding and agentic workflows, generating code autonomously for extended periods with parallel tool execution capabilities.
Claude Sonnet 4 offers faster response times, improved instruction following, and concise thinking mode gains, addressing the needs of developers for reliable coding assistance.
Both Opus 4 and Sonnet 4 by Anthropic feature hybrid reasoning, seamless task switching, and coherence across dialogues, ensuring industry standards in responsible AI deployment.

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Dev

103

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Mastering Testing in Go: Best Practices

Testing is crucial for reliable software, and Go paired with GoFr framework offers powerful tools for streamlined testing workflows.
GoFr enhances testing benefits by providing unified mocking, declarative expectations, built-in HTTP testing utilities, and cross-service dependency management.
Embracing Table-Driven Tests in Go allows validating multiple scenarios with clear separation of test setup and assertions.
Leveraging Dependency Injection via Context in GoFr helps isolate components for true unit testing with easy mock configuration.
Isolating tests with fresh instances in GoFr prevents test pollution between cases by initializing new app instances per test.
Testing edge cases and failure modes in GoFr ensures resilience under real-world conditions, including scenarios like database failures and network timeouts.
Avoiding global state in testing ensures determinism and reproducibility, exemplified by GoFr's containerized approach for clean resource handling.
Validating HTTP contracts in GoFr ensures API spec compliance through tests covering HTTP status codes, response headers, JSON schema, and error formats.
Benchmarking critical paths in GoFr helps identify performance bottlenecks early, such as database query performance and concurrent request handling.
GoFr testing features include unified mock container, declarative expectations, HTTP service mocking, automatic validation, and contextual logging for efficient testing.

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Dev

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WebSocket Broadcasting with hyperlane

The hyperlane framework supports WebSocket protocol natively, simplifying WebSocket request handling for developers.
Server-side implementations of both point-to-point and broadcast messaging are demonstrated using hyperlane.
Broadcasting is implemented using tokio::broadcast, enabling multiple clients to share a message channel in server broadcast mode.
Hyperlane provides a unified interface for handling WebSocket messages, making real-time WebSocket-based service development easier.

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Dev

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I built open-source app to stop micromanaging my finance

A developer shared their experience of trying various finance tracker apps but found them burdensome due to the need for regular input.
Realizing the unnecessary need for micromanaging transactions, they created a simple Google Spreadsheet to record their savings monthly or at longer intervals.
Impressed with the simplicity and effectiveness of the spreadsheet method, they transitioned the logic into an open-source Android app stored locally on the device.
The app allows users to create a savings notepad, store data on their device, and offers the option for further analysis using tools like spreadsheets.

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4 Likes

Medium

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Is the Tech Market Collapsing for Data Analysts?

Data analysis trend surged during COVID-19 with major companies and universities offering courses on Data Analytics.
Post-COVID, the market for Data Analysts became saturated quickly, leading to a collapse in the demand for this role.
Trend shifted towards the hype of Data Scientists in specific fields, with each industry having its own specialized analysts.
Continuous learning, adaptation to new tools and technologies, and skill set polishing are crucial for professionals in the data analysis field.

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20 Likes

Dev

413

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Testing Blockchains: What to Watch Out For

Testing blockchains involves understanding the complexities of distributed architectures and the unique challenges they pose.
Key areas to focus on during blockchain testing include transaction integrity, consensus mechanisms, data persistence, security, scalability, and load testing.
Examples of well-structured blockchains for testing and QA purposes include Ethereum, WhiteBIT Blockchain, and Avalanche.
Final tips for blockchain QA engineers include using fuzz testing for smart contracts, validating edge cases in transaction lifecycles, testing in a real node environment, and monitoring logs for subtle bugs.

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