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5 Ways AI Is Changing the DevOps Lifecycle

AI is reshaping DevOps with practical insights into CI/CD pipelines, monitoring, testing, and infrastructure management.
AI-enhanced pipelines optimize build processes, recommend test paths, and suggest rollback strategies.
AI-driven observability tools provide real-time anomaly detection, root cause analysis, and automatic incident triage.
AI-based testing generates self-healing tests, prioritizes high-risk changes, and improves test suite effectiveness.

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Logrocket

414

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5 lessons learned from ecommerce product managers

Prioritizing the mobile experience is crucial, with 78% of retail traffic occurring on smartphones.
Product managers should focus on refining mobile UX and utilizing features like biometric authentication.
Personalized push notifications can significantly improve engagement rates for ecommerce sites.
Creating a seamless online experience that mirrors in-person interactions can boost sales.
Including styled outfits and detailed product imagery enhances the virtual shopping experience.
Offering multiple delivery options, like one-hour delivery, can drive substantial revenue growth.
Feedback from frontline staff and customers can provide valuable insights for product improvements.
Utilizing AI to enhance customer experience, such as generating gift messages, can lead to conversion rate optimization wins.
Regularly visiting physical stores and gathering customer feedback helps align strategic initiatives with customer needs.
Ensuring a smooth checkout process and clarifying coupon code usage are essential for preventing user abandonment.

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Medium

Struggling to Land a Job in Software Testing? Selenium with Python is Your Solution

Python's clean and readable syntax makes it easy to learn and use, making it ideal for beginners and experienced professionals alike.
Python offers a rich ecosystem of libraries and frameworks for automation, enhancing its efficiency.
Learning Selenium with Python can open up more job opportunities in the field of automation testing, from QA Automation Engineer to DevOps roles.
Recruiters value problem-solving skills, hands-on experience with automation frameworks, Python scripting, and testing tools, which can be gained through Selenium with Python.

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Python Blogs

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How to Make a Progress Bar in Notion

Creating a progress bar in Notion is an excellent way to visually track your goals, tasks, or project development.
Notion is known for its flexibility, allowing users to build everything from to-do lists and notes to full-fledged project dashboards.
To create a progress bar in Notion, you can utilize the built-in formula feature and database properties.
Progress bars provide instant feedback, motivation, and accountability for tracking progress and achieving goals.

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Dev

243

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Build Your Own Component Testing Library: A Developer's Guide

JavaScript has revolutionized web development, leading to the standard of component-based architectures.
DOM rendering is essential for any component testing library, with the need for isolated and integrated testing approaches.
Shallow rendering involves intercepting React's reconciliation process to focus tests on specific component behavior.
Event simulation can be challenging due to browser differences, requiring normalized event objects for accurate testing.
State verification in component testing involves validating DOM output and internal states with specialized assertions.
Asynchronous testing utilities help manage timing and state transitions in async component behaviors.
Snapshot generation tools aid in detecting unintended changes by creating serializable component representations.
Mocking component context like themes, state, and routing is crucial for testing complex component interactions.
By combining various testing techniques, a comprehensive testing utility can be built for thorough component testing.
Building a component testing library enhances understanding of JavaScript and browser behavior for more effective testing.

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Medium

209

Why Manual Testers Are Losing Jobs — And How Selenium with Java Can Secure Yours

Companies want faster releases: Manual testing is time-consuming and doesn’t scale well with frequent updates.
Agile and DevOps practices require automation: Continuous Integration/Continuous Delivery (CI/CD) pipelines depend on automated tests for fast feedback.
Manual testing skills are no longer enough to stay competitive in the job market. The industry is demanding testers who can code, automate, and integrate.
By learning Selenium with Java, you can secure your QA career with more job opportunities, higher salary potential, freelance and remote flexibility, stability in a changing industry, and growth into advanced roles.

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Medium

264

Stuck in Manual Testing? Learn Selenium with Java to Automate Your Way to Success

Manual testing is essential, but test automation is becoming a must-have skill in modern QA due to faster releases and the need to avoid repetitive tasks and human error.
Selenium is the most widely used automation tool for web applications, offering flexibility and compatibility with major browsers and platforms.
Java is a top choice for Selenium automation, being fast, reliable, scalable, and having a large community and integration capabilities.
The roadmap for shifting from manual to automation testing includes learning Java basics, becoming comfortable with Selenium WebDriver, using test frameworks like TestNG and Jenkins, and mastering advanced automation concepts like POM, data-driven testing, Selenium Grid, and BDD.

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Dev

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HTML, CSS & JavaScript: What Are They and Why Do They Matter?

HTML, CSS, and JavaScript are the three main tools used to create websites, with HTML providing the basic structure, CSS adding styles and colors, and JavaScript adding interactivity.
HTML acts as the skeleton of a website by adding headings, paragraphs, images, videos, buttons, links, and lists.
CSS, standing for Cascading Style Sheets, enhances the appearance of websites by giving them colors, formatting, and styles.
JavaScript adds dynamic functionality to websites, allowing for interactive elements like reacting to button clicks or creating games.
The combination of HTML, CSS, and JavaScript is essential in building complete and engaging websites, similar to building a robot where each component plays a crucial role.
These tools are beginner-friendly and can lead to creative projects, job opportunities, and a deeper understanding of how the web operates.
Starting to learn HTML, CSS, and JavaScript can be done through free coding tools, mini projects, tutorial videos, seeking help, and consistent practice.
Fun facts about these tools include the first website being created in 1991, CSS being developed in 1996 to enhance website appearance, and JavaScript being created in a short span of 10 days in 1995.
HTML, CSS, and JavaScript empower users to design, create, and innovate on the web, regardless of age or experience level.
By exploring these tools, individuals can embark on a journey of creativity and possibly become skilled developers with unique ideas that stem from basic coding principles.
The simplicity and accessibility of HTML, CSS, and JavaScript make them the fundamental building blocks for anyone interested in web development and design.

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Medium

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Best Data Science with Generative Ai Online Training

Data science professionals have become essential in turning data into valuable insights, making it a high-demand career with attractive salaries.
Combining data science with generative AI allows for the creation of text, images, simulations, and predictive responses, revolutionizing various industries.
A comprehensive data science course provides training in Python, SQL, machine learning, deep learning, and NLP and generative models.
The course emphasizes project-based learning to enhance practical skills, and it is suitable for fresh graduates, professionals, and developers.

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Hackernoon

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From Styled Components to Tailwind CSS: A HackerNoon Migration Story

HackerNoon migrated from Styled Components to Tailwind CSS due to limitations faced with Styled Components as the codebase evolved.
Styled Components were initially chosen for HackerNoon due to their self-contained nature and dynamic theming support.
The decision to switch to Tailwind CSS was driven by the growing complexity of managing styles in the expanding codebase.
Tailwind CSS's utility-first approach promised streamlined development, especially for layout, responsiveness, and theming.
The setup for switching to Tailwind CSS posed initial challenges, particularly with global styles conflicting with existing components.
The conversion process involved establishing new conventions, handling global styles, reusing classes, and building theme-aware components with Tailwind CSS.
The migration process from Styled Components to Tailwind CSS was aided by leveraging AI (ChatGPT) for refactoring components, making the transition more manageable.
HackerNoon successfully converted its homepage to Tailwind CSS, with gradual plans to transition other pages from Styled Components.
The gradual migration approach allowed for improvements in design, structure, and introducing modern UI elements alongside the Tailwind conversion.
Switching to Tailwind CSS was about modernizing HackerNoon's frontend workflow, enhancing consistency, and simplifying development for future scalability.

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Alvinashcraft

153

Dew Drop – April 15, 2025 (#4404)

The Dew Drop will be on hiatus until April 23rd or 24th.
Top links include topics like MAUI Blazor Hybrid, Angular SpeechToText Component, GPT-4.1, and more.
In Web & Cloud Development, articles cover CSS styling, building chat interfaces, Azure CLI announcements, OAuth 2.0 guides, and data mapping to FHIR.
Visual Studio & .NET topics range from canceling Carmen Sandiego to LLBLGen Pro features and merging multiple records.
AI-related content discusses AI model protocols, OCR tools, ML.NET usage, AI assistant development, and PayPal's Agentic Toolkit release.
Design, Methodology & Testing articles cover NuGet package signing, unit testing challenges, and handling quirky IT team members.
Mobile, IoT & Game Development focuses on Raspberry Pi IoT setups, Objective-C charms, and Minecraft gameplay recreation.
Podcasts cover a range of topics from Scrum methodologies to PowerShell, AI agents, Python, cybersecurity, and more.
Database, SharePoint, M365, and PowerShell sections address SSIS, Azure Cosmos DB, SharePoint features, Office support updates, and PowerShell investments.
Miscellaneous articles touch on Windows 10 and Windows 11 build releases, Rust programming, security vulnerabilities, and different perspectives.

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Medium

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Unleashing Creativity: My Capstone Journey with Google × Kaggle Generative AI

The project aimed to create a user-friendly app for uploading files and asking questions about their content.
The challenges included selecting the appropriate AI tools and successfully implementing backend code for file processing.
Highlights of the project include an interactive Q&A feature and an attractive user interface.
Future plans involve improving AI contextual understanding and expanding the project based on user feedback.

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3 Likes

Medium

260

How AI is Rewriting Code Itself

AI is revolutionizing the software industry, transforming how code is written, tested, and managed.
AI-driven tools like GitHub Copilot and Tabnine suggest code, and platforms like DeepCode scan for issues.
AI enables auto-generation of test cases, simulates user behavior, and offers project management assistance.
AI comes with benefits like saving time, improving code quality, and enabling personalized learning, but also has challenges such as bias, security risks, overdependence, and integration hassles.

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Dev

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Turbocharged Go: From Profiling to Production-Ready Performance 🔧

The article discusses the importance of optimizing Go programs for performance, emphasizing the need for profiling to identify bottlenecks.
It introduces the pprof tool for profiling Go code, highlighting its capabilities in generating call graphs and visualizations like Flame Graphs.
The article stresses the significance of profiling before optimization, mentioning the importance of identifying hot functions, allocation patterns, and lock contention.
Memory management in Go is discussed, with tips on understanding and controlling the behavior of the garbage collector (GC) for better performance.
Strategies to reduce allocations and make the GC more efficient, such as using sync.Pool for object reuse, are shared in the article.
The importance of choosing the right data structures and algorithms for optimal performance in Go is highlighted, along with tips on concurrency management.
Best practices for concurrency, including using worker pools to control goroutines, are recommended to improve efficiency and reduce memory usage.
The article concludes by emphasizing the combination of science (profiling, measurement) and art (knowledge of techniques) for effective performance optimization in Go.
Developers are encouraged to profile first, control memory allocations, choose suitable data structures, and implement bounded concurrency for better Go performance.
The article advocates for active practice and exploration in optimizing Go code to achieve blazing speed and improve overall performance.

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Dev

111

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Recursion Explained with Pizza (You’ll Never Forget It Again)

Recursion is like a pizza party where you keep opening boxes to find a slice, serving as a smaller version of the same problem in coding.
The base case in recursion is finding the pizza or an empty box, while the recursive case involves opening boxes to find more boxes.
A practical example using a story of opening pizza boxes illustrates recursion in action, solving smaller versions of the problem until reaching the base case.
Recursion in code, such as a Python function to open pizza boxes, involves a base case check and a recursive call for smaller boxes.
Counting pizza slices recursively demonstrates how a base case counts individual slices and a recursive case explores mini-pizzas for total counts.
The relatable pizza analogy simplifies understanding recursion with visual, relatable, and simple concepts, making it memorable and intuitive.
Common pitfalls in recursion include lacking a base case, inefficient recursion, and deep recursion, which can lead to crashes or inefficiencies.
Real-world applications of recursion include file systems, tree structures, math problems like factorials, and web crawling.
Recursion breaks down big problems into manageable pieces, reminiscent of opening pizza boxes to find the desired outcome.
Understanding recursion as pizza boxes with a base case and recursive case makes it a practical and approachable concept in coding.

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