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Consuming REST APIs in React using FetchAPI, Async/Await, and useEffect.

Consuming REST APIs in React involves using technologies like FetchAPI, Async/Await, and the useEffect Hook.
APIs play a crucial role in software development, serving as interfaces for building and integrating applications.
A REST API follows REST architecture, providing a way to interact with web services like sending JSON representations via HTTP.
An example JSON response from a GET request to the GitHub Open API showcases data structure.
The Fetch API in JavaScript allows fetching resources from servers with parameters like resource and init options.
Consuming APIs in React involves using FetchAPI with Async/Await for handling promises.
The useEffect Hook in React facilitates side effects and async operations, akin to componentDidMount, componentDidUpdate, or componentWillUnmount.
By utilizing useEffect in React components, you can manage API requests and data fetching efficiently.
Understanding how to consume APIs in React using modern techniques like FetchAPI and useEffect is crucial for frontend developers.
Exploring various methods for consuming REST APIs in React helps optimize data retrieval and update processes within web-based projects.

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Medium

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Mastering AI Tools Now: Preparing for the 6G Era and the Future

6G will enable AI to operate in real-time, making smart cities, autonomous vehicles, and robotic assistants more advanced.
AI will process massive amounts of data instantly, helping businesses and governments make real-time decisions.
AI and automation will redefine job roles, requiring workers to adapt and master AI to remain relevant and thrive in high-demand careers.
Nations investing in AI and 6G will lead the global economy, while businesses that fail to integrate AI into their operations will lose to competitors.

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Medium

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The Ultimate Guide to Self-Service Kiosks for Modern Restaurants

Integrating self-service kiosks in restaurants enhances customer experience, improves efficiency, and reduces costs.
Self-service kiosks streamline the ordering process, minimize wait times, reduce human errors, and empower customizations.
Effective kiosk design, selection, and maintenance are crucial factors for a smooth customer journey and operational success.
Investing in self-service kiosks leads to increased customer satisfaction, streamlined operations, and long-term business growth.

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Lambdatest

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10 Key Strategies to Effectively Manage Developer-QA Ratio Challenges in Startups

Startups, especially digital-native ones, face challenges with limited resources and high speed to market, making efficient testing crucial for success.
The collaboration between QA and development teams is vital for software development endeavors in startups.
The ideal developer-to-QA ratio varies in startups, with smaller organizations having higher ratios and facing more challenges.
Strains on startup QA teams include delayed deployments, un-tested software shipping, high turnover, declining product quality, incomplete test automation, and long working hours.
Key strategies for startups to manage higher developer-QA ratios include fostering feedback culture, continuous learning, risk-based testing, and leveraging automation tools.
Efforts should focus on timely task completion, clear procedures, workflow optimization, high-impact areas, and adjusting QA-Dev ratio based on project phases.
Eliminating overtime, promoting team collaboration, and recognizing achievements are crucial for managing developer-QA challenges in startups.
Determining the right number of testers for a startup involves considering testing scenarios, product complexity, methodology, and budget constraints.
Streamlined workflows, automation tools, and a culture of collaboration and improvement are key for startups to cope with higher developer-QA ratios while ensuring quality software delivery.

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Codecondo

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How to Build a Strong QA Culture in DevOps

DevOps emphasizes speed and efficiency in software development, but quality is essential for success.
QA in DevOps ensures software meets quality standards throughout the development lifecycle.
Key elements of a strong QA culture in DevOps include shift-left testing and continuous testing.
Cross-team collaboration between developers, QA engineers, and operations is crucial for a strong QA culture.
Automation, quality metrics, and monitoring play vital roles in maintaining quality in DevOps.
Steps to build a strong QA culture include educating teams, promoting peer reviews, and leveraging the right tools.
Advocating for TDD, fostering a blameless culture, and sustaining best practices are crucial for QA culture.
Regularly assessing and optimizing test effectiveness, encouraging exploratory testing, and supporting cross-functional skill growth are key for sustaining a QA culture.
QA should be integrated into every phase of development to deliver fast, reliable, and user-friendly software in DevOps.
Continuous learning and leveraging resources like the DevOps E-Degree can enhance QA practices and contribute to DevOps success.

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Medium

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Upgrade Your Angular Skills: A “Guide” to Migrating API Calls to Signals

Angular developers are encouraged to reconsider their approach to handling API calls and explore the use of Signals over subscriptions.
Using Signals in Angular allows for automatic subscription management, reduced boilerplate code, and more declarative and efficient code.
Developers need to be cautious of common mistakes when using Signals, such as forgetting to set the initial value and not handling error properly.
Signals are intended for state management and not meant to replace all observables or other mechanisms in Angular.

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Medium

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Passport Session-Based Authentication Behind The Scenes

The library that passport works with to handle sessions for implementing session-based authentication is express-session.
Understanding how express-session works is crucial to understanding how session-based authentication with passport works.
Passport.initialize() must be used in express for passport to work.
An implementation of session-based authentication with passport.js is provided.

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Hackernoon

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Building a Robust JS/TS Monorepo: Best Practices with Yarn, NX and Changesets

Monorepos have become a popular approach to managing complex software projects by unifying the codebase for enhanced collaboration and code reuse.
Yarn Workspaces allow easy management of multiple packages within a monorepo, enabling sharing dependencies, simplifying management, and improving control over the repository.
Setting up Yarn involves installing it and configuring it with plug’n’play for IDE recognition of dependencies.
Organizing the monorepo structure involves categorizing code into Apps, Features, and Libs for better navigation and code reuse.
NX offers efficient script execution in parallel, identification of dependencies, and caching results to optimize the build process.
NX helps manage circular dependencies by generating a dependency graph to detect and prevent issues.
Yarn Constraints enforce rules for packages in the monorepo, ensuring consistency in dependencies, Node versions, and dependency versions.
Changesets aid in version management by tracking changes in small, human-readable documents, allowing granular version control and automated releases.
GitHub Actions integration automates tasks like PR quality checks, version releases, and application deployments, enhancing workflow efficiency.
By implementing best practices and tools like Yarn, NX, Changesets, and GitHub Actions, teams can enhance collaboration, streamline releases, and improve project consistency in a monorepo setup.

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Hackernoon

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C++ Metaprogramming: Compilation of Calculations, from Basic Techniques to Advanced Methods

Compile-time calculations in C++ provide advantages such as data and logic validation, reduced execution time, and enhanced code safety.
Templates and constexpr are key compilation mechanisms for computations in C++.
Historically, metaprogramming in C++ emerged through templates, allowing complex computations using recursive templates.
Examples like factorial and Fibonacci calculations showcase template metaprogramming but can lead to code complexity and debugging challenges.
Debugging complexity, increased compilation time, and template limitations are drawbacks of template metaprogramming.
The introduction of constexpr in C++11 provides a modern approach for compile-time computation, offering simplicity and ease of use.
constexpr functions and variables allow evaluation at compile time, simplifying code and improving readability.
Modern constexpr features include conditional operators, loops, and constexpr classes for more advanced compile-time computations.
Useful features like static_assert and if constexpr further enhance compile-time checks and conditional operations.
Pitfalls of extensive metaprogramming include increased compilation time, expression limitations, potential hidden copies, and debugging complexity.

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Digitaltrends

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Vibe coding: What it is, and why you should give it a miss

Vibe coding refers to creating software without writing any code by using AI tools and natural language prompts.
It is becoming popular among non-technical users but poses challenges in terms of accuracy and security.
Vibe coding tools generate auto-complete suggestions, summarize code snippets, and create code based on natural language prompts.
For non-technical users, interpreting the output accurately can be difficult and may lead to security risks.
Efficiency and data costs become issues when using vibe coding for software development, as generated code may be inefficient.
The solution proposed is to emphasize learning coding rather than relying solely on vibe coding tools for software development.
Learning programming skills is crucial for building safe and efficient software, regardless of the availability of AI-powered coding tools.
Vibe coding may not be a sustainable solution in the long run for non-technical individuals looking to create software products.
It is recommended to prioritize understanding the fundamentals of software development over quick solutions like vibe coding.
Consumers are advised to be cautious with independently developed vibe-coded products due to potential security risks.

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Javacodegeeks

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Mock JWT Decoding with JwtDecoder in JUnit Tests

JWTs are commonly used for microservices and Spring security authentication, requiring mocking of JWT decoding for testing purposes.
JWT (JSON Web Token) is used for securely transmitting information, structured as Header.Payload.Signature.
JwtDecoder in Spring Security decodes JWTs to extract claims, providing essential functionality for authentication.
JwtDecoder verifies a JWT's signature, decodes claims like subject and expiration time, and works with different key types.
Advantages of JwtDecoder include secure JWT verification, support for various signing mechanisms, and seamless integration with Spring Security.
To mock JwtDecoder in JUnit tests, Mockito is used to simulate behaviors for valid, expired, and invalid JWT tokens.
Unit tests demonstrate creating and testing JWT decoding scenarios like valid tokens, expired tokens, and decoding failures.
JUnit provides detailed output on test results, indicating success or failure of assertions during testing.
Mocking JWT decoding with JwtDecoder streamlines secure and efficient testing of authentication logic in Spring Security applications.

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PlanetPython

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Python Bytes: #425 If You Were a Klingon Programmer

The episode of Python Bytes #425 covered various topics including the benefits of using uv, Python Developer Tooling Handbook, blacken-docs tool for doc writers, and reinventing notebooks as reusable Python programs.
The discussion about uv prompted mixed responses from people, with some being reluctant to switch from existing tools like pip and pip-tools.
The Python Developer Tooling Handbook focuses on enhancing Python development productivity by understanding tools related to packaging, linting, formatting, and dependency management.
Blacken-docs is a tool that allows running black on Python code blocks in documentation files, supporting Markdown, reStructuredText, and LaTex files.
Marimo enables storing notebooks as plaintext Python files, making them Git-friendly, easy to read, importable as Python modules, and executable as Python scripts.
Marimo notebooks can be tested using pytest, leveraging the interoperability with other Python tools for better testing practices.
Extras included announcements like PyConUS refund policy for international attendees, new format for The Complete pytest Course Bundle, and PyCon Taiwan calling for proposals.
The episode also featured a humorous segment about the top 12 things likely to be overheard if you had a Klingon Programmer.

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PlanetPython

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Talk Python to Me: #498: Algorithms for high performance terminal apps

Will McGugan is back to discuss algorithms for high performance terminal apps.
Will's latest article focuses on revolutionizing what's possible in the terminal.
He discusses smooth animations, dynamic widgets, and TUI frameworks.
Will takes a modern, web-inspired approach to old-school terminals.

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Dev

235

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How to Build a Successful DApp: Step-by-Step Guide and Best Practices

Decentralized applications (DApps) are revolutionizing technology by leveraging blockchain for transparency and security.
Building a successful DApp involves careful planning, design, and execution, as outlined in this step-by-step guide.
Understanding the fundamentals of DApps and the Web3 landscape is crucial for effective smart contract development.
Planning your DApp involves defining goals, creating a detailed roadmap, and managing risks effectively.
Designing an intuitive interface is essential for user-friendly DApps, focusing on simplicity and device compatibility.
Developing core features and smart contracts requires choosing the right technology stack and iterative development based on feedback.
Testing, auditing, and ensuring security play a critical role in the deployment and success of a DApp.
Deployment best practices include selecting a reliable network, gradual rollout, and real-time monitoring post-launch.
Maintaining, updating, and scaling your DApp are ongoing processes for long-term success and user satisfaction.
Choosing the right Web3 agency can streamline the development process and ensure expertise in smart contract development.

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Dev

135

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What is Decision Table Testing? A Beginner’s Guide

Decision table testing is a black-box technique that ensures comprehensive coverage of input conditions and outcomes in a structured tabular format.
It consists of conditions, actions, and rules defining decision logic in a visual way, aiding in catching defects before impacting users.
Creating a decision table involves identifying input conditions, defining possible outcomes, constructing a table, and optimizing test cases.
Decision table types include extended entry, limited entry, and cause-effect, catering to different testing needs.
Benefits of decision table testing include covering all input combinations, improving communication, and reusability.
Challenges include binary output, lack of subjective insights, and the need for skilled testers to handle complex tables.
Best practices suggest prioritizing test cases, utilizing automation, refreshing tables, maintaining a consistent format, boundary testing, and starting simple.
Tools like DecisionRules.io, Google Sheets, and CoTester by TestGrid can assist in creating decision tables based on complexity and automation needs.
Decision table testing simplifies complex decision-making processes, enhances software reliability, and minimizes oversights by providing a clear, structured testing approach.
Following best practices and leveraging appropriate tools can streamline the testing efforts and optimize quality assurance in software development.

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