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🏷️ A Practical Guide to TypeScript Custom Types for QA Automation

  • The article delves into using custom types in TypeScript for QA automation, focusing on creating robust, self-documenting, and error-resistant test frameworks.
  • Topics covered include defining union and string literal types for precise variable definitions, using type aliases to name data structures effectively, and leveraging interfaces to define object contracts.
  • It explains the distinctions between type aliases and interfaces, highlighting when to use each in QA automation scenarios for API payloads, response models, or Page Object Models.
  • The article also discusses extending interfaces for creating consistent API response models and using type assertions like 'as' and '!' for type safety and control over data shapes.
  • While emphasizing the benefits of custom types for bug prevention and code clarity, the article presents a challenge to apply the concepts learned by defining custom types for a product payload and response, and ensuring type safety.

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Trust Over Throttle: Leveraging o3-Pro for Accurate, Impactful AI

  • o3-pro model prioritizes reliability and accuracy over raw speed, reducing hallucinations and enhancing depth of reasoning.
  • Clients report 40–60% better ROI by prioritizing accurate AI outputs.
  • Strategic model routing: utilize lighter models for simple queries and o3-pro for complex analyses.
  • Cost vs. value: paying a premium per token for o3-pro can save on error-handling and rework costs.
  • Enterprises are advised to focus on consistent, trustworthy AI outputs rather than chasing speed records.
  • Three pillars of model selection for enterprise AI: consistent accuracy, cost-effective inference, and domain-specific solutions.
  • Comparison between o3-pro and lighter models in terms of hallucination rate, depth of reasoning, latency, cost per token, and ideal use cases.
  • Real-world ROI: organizations see 40–60% higher ROI on AI investments, reduced support costs, and improved stakeholder confidence with reliability-first approach.
  • Scenario-based recommendation: choose lighter models for real-time interactions, simple chatbots, and high-volume classification tasks.
  • Focus on strategy, reliability, cost efficiency, and domain alignment for sustainable gains in AI implementation.

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Analyticsindiamag

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AI Models from Google, OpenAI, Anthropic Solve 0% of ‘Hard’ Coding Problems

  • A new research study reveals that AI models from Google, OpenAI, and Anthropic have not been able to solve any 'Hard' coding problems, scoring 0%.
  • The study by multiple universities identified shortcomings in existing coding benchmarks and introduced the LiveCodeBench Pro to evaluate models with challenging problems.
  • Models excelled in knowledge-heavy and logic-heavy problems but struggled with observation-heavy challenges that require novel insights.
  • The AI models often made errors related to algorithms, showing room for improvement even with multiple attempts.
  • Despite claims of surpassing elite humans, the models still lag significantly in tasks demanding unique solutions.
  • Another analysis by Oxford researcher Toby Ord suggests that AI agents have a declining success rate over longer tasks, posing a challenge for handling complex coding projects.
  • While AI agents show improvements in handling longer tasks, achieving high-reliability performance still requires significantly shorter task durations.
  • The timeline for AI to effectively manage intricate coding tasks remains uncertain despite advancements in AI capabilities.
  • A detailed technical report is available for in-depth information on the research findings.
  • The article delves into the struggles of AI models in tackling complex coding challenges, emphasizing the need for improvement in reasoning and problem-solving capabilities.

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However bash I delete untracked section information from the actual running actor?

  • Git provides interactive deletion of untracked files to allow users to preview and exclude affected data before actually deleting.
  • Using the --dry-run option before the actual deletion helps in understanding the changes without executing the operation.
  • The git clean command with flags like -d can be used to handle bare folders alongside files.
  • Conditional expressions are essential in programming for decision-making within code.
  • Python offers a ternary conditional operator for concise conditional assignments.
  • The ternary conditional operator syntax in Python is value_if_true if condition else value_if_false.
  • Implementing conditional expressions in Python using the ternary operator simplifies code and improves readability.
  • Overusing or nesting multiple ternary operators can lead to code that is difficult to read and understand.
  • Balancing conciseness and readability is key when using the ternary operator in Python.
  • Python's ternary conditional operator is particularly useful for basic conditional assignments and situations where brevity is essential.
  • Knowing how to use Python's ternary operator correctly contributes to writing efficient and maintainable code.

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AWS Summit Stockholm: Learning from the Leaders in AI

  • Companies like Booking.com have deeply integrated AI into their products and development processes.
  • Attendees at AWS Summit Stockholm learned from industry leaders about AI integration.
  • A demo of Amazon Q Developer operational investigations was presented at the summit.
  • Amazon Q can automatically investigate alarms and provide key observations for issue investigation.
  • The feature helps users understand why an alarm was triggered by highlighting key information.
  • Users can review services inspected, information discovered, and suggestions to fix the issue.
  • In some cases, runbook suggestions in Systems Manager can resolve issues automatically.
  • Users are advised to carefully review suggestions before execution.
  • As models behind detection/resolution get smarter, developers can save time investigating root causes.

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CodePen #Challenge: Visualizing McDonald’s Menu with Free Pivot Grid Library 👩🏼‍💻📊🍔

  • A Software Engineering student and beginner developer created a blog to share their learning journey and participation in #CodePenChallenges.
  • CodePen Challenges provide a platform to experiment with new technologies and develop professional skills by creating animations, webpages, mini games, etc.
  • The student participated in a recent challenge focused on food and decided to visualize data from the McDonald's Menu - Comparative Nutrition Values dataset.
  • WebDataRocks, a free pivot grid library, was used as the main tool to create interactive pivot tables with customization options.
  • The student shared their workflow for the challenge, starting with loading the dataset and filtering selected categories in the JavaScript pivot grid.
  • By filtering the dataset before loading, only specific categories like Breakfast, Beef & Pork, and Chicken & Fish were displayed.
  • The student customized the layout of the pivot table to show sub-levels of hierarchies in separate columns, resembling Excel.
  • In terms of styling, the student imported the 'Quicksand' font and added burger emojis as the background for better visual appeal.
  • WebDataRocks offers built-in themes, and the student used the orange theme to enhance the appearance of the pivot table.
  • The student shared the demo of their pivot table example resulting from the challenge for others to try out and evaluate.
  • Feedback and questions regarding adding a JS pivot table to web applications are welcomed by the student.

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How to Create a Spring Boot Project from Scratch

  • To create a Spring Boot project from scratch, visit start.spring.io.
  • Choose the project type (Maven or Gradle), language (Java, Kotlin, or Groovy), and Spring Boot version.
  • Fill in project metadata like group, artifact, etc.
  • Select packaging type as JAR and Java version matching your setup.
  • Add dependencies to your project from the right-hand section.
  • Generate the project which will download a .zip file containing your project.
  • Unzip the downloaded file and open it in your preferred IDE like IntelliJ IDEA, Eclipse, or VS Code.
  • Upon opening the project in your IDE, you will see a pom.xml file with project configuration.
  • Run the project in your IDE or use 'mvn spring-boot:run' command to start the Spring Boot app on http://localhost:8080.
  • By following these steps, you'll have a basic Spring Boot project ready to build REST APIs, connect to databases, and more.
  • Consider creating your first REST endpoint or setting up database connections using Spring Data JPA as the next steps.

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️Serving Orders Right: Django URL Routing Explained with a Restaurant Twist

  • Django's URL routing acts like waiters in a restaurant, ensuring requests reach the right 'chef' in a web app.
  • In Django, URL patterns function as maps, guiding requests to specific views.
  • To set up URL routing in Django: create a urls.py file within your app, define URL patterns, and link them in the main URLs file.
  • By linking the main URL file with the app's URL file, Django knows where to direct incoming requests.
  • After setting up URL routing, start your server to see your welcome message on the specified address.
  • Just like in a restaurant, the URL routing ensures requests are directed to the appropriate 'chef' (View) to process and serve the content.
  • For any inquiries or discussions about Django's URL routing, there's an invitation to connect.
  • Stay tuned for more Django-related insights in the upcoming week.
  • That's a wrap on understanding Django's URL routing using a restaurant analogy.
  • Django's URL routing ensures requests reach the right 'chef' (View) with precision.
  • The mapping of URL patterns in Django functions akin to guiding requests to different stations in a kitchen.
  • Upon setting up URL routing in Django, the server displays the welcome message, indicating successful routing of requests.
  • URL routing mechanism in Django ensures that requests are handled by the appropriate 'chef' (View), similar to a waiter directing orders in a restaurant.
  • Connecting the main URLs file with the app's URL file establishes the route for incoming requests in Django.
  • The URL routing system in Django acts as the intermediary between incoming requests and their respective 'chef' (View) for processing.
  • URL routing in Django functions as the essential mechanism for directing requests to the corresponding views.
  • The analogy of restaurant service aptly illustrates how Django's URL routing guides incoming requests to the designated 'chef,' ensuring efficient content delivery.

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SwiftUI Animations for Beginners: Learn with Simple Examples (2025 Edition)

  • Animations in SwiftUI are seamless and operate by re-rendering views with updated states.
  • SwiftUI does not call specific functions to move views, it interpolates between old and new values for animations.
  • Using withAnimation or .animation() may not always produce the desired animation effect in SwiftUI.
  • The guide aims to provide clarity on SwiftUI animations for beginners.

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How to Build a Download‑Free HTML5 Game Portal Like SurgeBlazePlay

  • Building a polished, download-free game portal like SurgeBlazePlay requires offering instant-play, daily updates, and a mobile-friendly design without popups or logins.
  • The tutorial covers creating a similar portal from scratch, including architecture, content management, front-end implementation, and performance optimizations.
  • Instant-play matters for modern players who expect zero friction in accessing games, such as no downloads, logins, or popups, and mobile-first design.
  • The portal's high-level architecture comprises Content API & CMS, Front-End Framework, and Hosting & CDN layers for efficient functioning.
  • Designing the content schema involves a minimal JSON structure for each game for easy sorting by category, pagination, and addition of new games.
  • Fetching and rendering games can be achieved dynamically as shown in a React-based example for displaying games in a specific category.
  • Key takeaways include dynamic fetching of game data, using a responsive grid for layout adaptation, and focusing on mobile-first design and performance.
  • Adding daily updates can be automated through CI/CD integration and scheduled publishing to keep users engaged with new releases.
  • Key aspects like SEO best practices, analytics integration, and monetization strategies are essential for audience engagement and revenue generation.
  • The tutorial emphasizes putting all components together to build a high-performance HTML5 game portal akin to SurgeBlazePlay for instant play and daily updates.
  • Next steps involve extending social features, implementing a Progressive Web App, ensuring accessibility, and following guidelines for a standout game portal.

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Part 1: Your Python Gateway to Blockchain – Getting Started with `web3.py`

  • Python with web3.py is a great choice for blockchain development, simplifying interaction with Ethereum nodes.
  • web3.py translates Python commands into JSON-RPC calls understood by blockchain networks, enabling querying and interactions.
  • Installation involves setting up a Python project, creating a virtual environment, and installing web3 and python-dotenv.
  • Connecting to an Ethereum node can be done through services like Infura or by running a local blockchain using Ganache.
  • Keep sensitive information secure with environment variables and avoid committing API keys by adding them to .gitignore.
  • The provided Python code initializes web3, connects to the Ethereum node, and reads blockchain data like block numbers and gas prices.
  • Unit conversions such as from Wei to Gwei or Ether are automatically handled by web3, simplifying data interpretation.
  • This article offers a clear guide for Python developers interested in blockchain integration, showcasing a practical example with web3.py.
  • Overall, the article details the process of connecting Python to blockchain, querying live data, and utilizing clean Python code for interaction.
  • The presented code allows for exploring blockchain functionalities like checking balances, retrieving block details, and handling conversions effortlessly.

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Andrej Karpathy — The Programming Revolution That’s Making College Degrees Obsolete (And Creating…

  • The programming landscape is evolving rapidly, making traditional college degrees potentially obsolete for computer science students.
  • AI advancements are reshaping the industry, leading to a new trillion-dollar software ecosystem.
  • Proficiency in English could become more crucial than expertise in programming languages in this evolving industry.
  • Teenagers are now capable of developing complex applications within significantly shorter time frames compared to professional engineer teams.
  • Unique startups with unicorn potential might emerge from individuals with unconventional coding backgrounds.
  • Andrej Karpathy, former AI director at Tesla, has emphasized a significant shift in software development, indicating a complete rewrite of the existing landscape.

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BigQuery time-partitioning: The hidden cost trap

  • When faced with slow analytical queries in PostgreSQL, a team migrated analytics workloads to BigQuery using Airbyte for the initial migration.
  • Although the migration to BigQuery initially showed impressive query performance improvements, the inability to define clustering or partitioning with Airbyte resulted in unoptimized data and increased costs.
  • To address the issue, the team rebuilt the data ingestion pipeline to stream data directly into BigQuery and recreated tables with proper partitioning and clustering.
  • Despite following best practices and implementing partitioning and clustering in BigQuery, the author discovered that partitioning didn't reduce the amount of data processed as expected.
  • The author experimented with various ways to query time partitioned tables and discovered that certain functions like CAST() led to processing the entire table rather than pruning partitions.
  • For TIMESTAMP data type, partition pruning worked effectively for all methods tested, including CAST().
  • The author highlighted the importance of continuously monitoring and analyzing costly queries in BigQuery to identify inefficiencies that may not be explicitly warned about in documentation.

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Java Printing Stack Values Example

  • Printing the contents of a stack in Java involves understanding the Last-In-First-Out (LIFO) behavior of the Stack class in the java.util package, which provides operations like push, pop, peek, empty, and search.
  • Java's Stack class is versatile for various use cases but is considered a legacy class; it's recommended to use Deque implementations like ArrayDeque for better performance.
  • Common stack use cases include parsing expressions, undo functionality, backtracking algorithms, and Depth-First Search (DFS) in graph traversal.
  • Different techniques for printing stack values in Java are demonstrated, including toString(), enhanced for-loop, forEach() with lambda, Iterator, ListIterator (for LIFO order), and using a Deque.
  • These approaches offer various ways to traverse and print stack elements, showcasing both traditional iteration and more functional styles.
  • Comparison is made based on maintaining LIFO order, code simplicity, mutability, and additional notes for each printing approach.
  • Understanding these methods helps in writing cleaner code when working with stack data structures in Java, preserving the LIFO order based on specific requirements.

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Web Development: Build Your Online Empire in 2025

  • Web development involves creating, designing, and maintaining websites through Front-End, Back-End, and Full-Stack Development.
  • Key reasons to focus on web development include attracting more visitors with mobile-friendly sites, ranking higher on Google with SEO optimization, meeting the demands of e-commerce growth, and providing a better user experience.
  • Popular tools for building modern websites include HTML5, CSS3, JavaScript, React.js, Vue.js, WordPress, Node.js, Express, and GitHub for version control and collaboration.
  • It's essential to include SEO keywords such as web development services, front-end vs back-end, learn coding for websites, responsive web design, and website development tools in blog posts.
  • Keyword placement in titles, first 100 words, headings, image alt texts, and meta descriptions is crucial for SEO.
  • Focusing on fast loading speed, clean navigation, mobile responsiveness, and secure hosting is vital to prevent losing visitors.
  • Web development is a valuable skill for freelancing, tech jobs, and business growth, making it essential to invest in your website to enhance your brand.

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