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Dev
2w
397
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Continuous UI Testing Pipeline: BrowserStack with GitHub Actions
- Continuous UI Testing integrates itself into almost every step of development & deployment, ensuring perfection for all browsers and devices without slowing down development pipeline.
- BrowserStack allows you to run automated tests on real browsers & devices, ensuring unparalleled accuracy; GitHub Actions automates the process by triggering testing workflows when code is pushed.
- Neglecting UI testing can lead to design disasters, cross-browser incompatibilities, customer churn, and project delays.
- Continuous testing has superior coverage, scalability, accuracy, and cost-efficiency compared to manual testing.
- GitHub Actions triggers workflows for the push, pull request, and delete events. actions/checkout fetches your repository codebase for executing an interface test in step 3.
- BrowserStack authenticates UI tests with Access Keys for seamless execution on its powerful infrastructure.
- BrowserStack Automate generates log, screenshot, and status analytics that can be linked to & accessed from GitHub Actions.
- Use parallel testing, explicit waits, explicit test cases, and cross-browser testing to avoid flaky tests and configuration issues.
- Keploy is an open-source, no-code testing platform that generates reliable and comprehensive UI test cases without manual scripting.
- Keploy and BrowserStack paired with GitHub Actions offer a comprehensive testing solution, covering both APIs and UI elements, for cross-platform performance.
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Medium
2w
333
How Creating an AI Chatbot with Python Can Open Doors to $10,000 Jobs
- The demand for AI-driven chatbot solutions is increasing as businesses prioritize digital transformation.
- Python is an ideal choice for chatbot development due to its simplicity, extensive library support, and integration capabilities.
- Professionals with expertise in AI, Python, and chatbot frameworks can expect high-paying roles such as AI Engineer, Data Scientist, and Machine Learning Engineer.
- Getting started with chatbot development in Python involves learning the fundamentals, understanding NLP basics, building a simple chatbot, experimenting with AI libraries, and deploying the bot.
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Dev
2w
341
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Figma To Code using CodeParrot AI
- CodeParrot AI is a platform that converts designs into production-ready code, saving developers time while maintaining code quality.
- The platform starts with an understanding of your existing codebase, prevents extensive revisions by following coding standards, and creates components quickly while still maintaining quality.
- CodeParrot AI allows for seamless workflow integration by utilising IDE plugins, saving developers the trouble of switching between contexts.
- Converting Figma to Code with CodeParrot AI is straightforward, start by selecting a Figma component you want to convert into code.
- Once you identify the selection, you can generate a link to it and use it with CodeParrot AI to convert it into code.
- CodeParrot AI works efficiently with popular frameworks like React, React Native, and Flutter, taking coding standards into consideration.
- To convert a component into code, you need to import the selection to CodeParrot AI, specify coding standards, libraries and reference files, and generate the code.
- Transforming Figma to React Native is simple with CodeParrot AI. Select the mobile-optimized component, adjust additional parameters for compatibility with your app's workflow, and generate the React Native code.
- Converting Figma to HTML with CodeParrot AI is ideal for creating responsive web pages quickly and efficiently. Specify additional parameters, and generate the HTML code.
- CodeParrot AI allows developers to quickly convert designs into Flutter widgets for cross-platform applications. Start by selecting a Flutter template, customizing additional preferences, and generating the Flutter code.
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Medium
2w
358
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Deep Dive into React’s Diffing and Reconciliation Process
- React's diffing and reconciliation process is a key factor in its efficiency and performance.
- The Virtual DOM is a lightweight copy of the actual DOM that React uses for efficient updates.
- The diffing algorithm compares the old and new Virtual DOMs to determine what exactly needs to change.
- Using keys is crucial for efficient list rendering and preventing unnecessary re-renders.
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Dev
2w
8
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Mastering Try-Except Blocks in Django: Simplified Python Error Handling
- Error handling is a crucial skill for any developer, especially in Django.
- The YouTube tutorial, 'Mastering Try-Except Blocks in Django', provides insights on error handling in Django.
- The tutorial covers the fundamentals of try-except blocks, handling common errors in Django, and best practices for error-handling code.
- It is beginner-friendly, offers actionable examples, and helps enhance Django projects' reliability and professionalism.
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Dev
2w
376
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Learning Git and GitHub: The 10 Most Common Commands Explained 🌟
- Understanding Git and GitHub is essential for developers.
- Here are the 10 most common Git commands explained:
- 1. git init: Initializes a new Git repository.
- 2. git clone: Copies an existing repository to your local machine.
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Bitsrc
2w
8
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Top 7 Alternatives to Next.js in 2025
- Next.js, while an industry standard today, is no longer the only game in town.
- Below are seven of the best modern frameworks providing innovative solutions for web developers looking to create fast, SEO-optimized, content-rich sites and dynamic real-time applications.
- Remix – suited for SaaS platforms, dashboards, and other real-time applications.
- Bit Harmony – a modular, scalable architecture ideal for building and integrating business-critical features like SaaS platforms and multi-tenant applications.
- Gatsby – an excellent choice for portfolios, blogs, and documentation-heavy projects, content-driven sites.
- Razzle – a versatile tool, ideal for developers seeking server-side rendering solutions without complex configuration favours universal applications.
- RedwoodJS – this full-stack framework simplifies app development for startups and small teams managing database interactions with popular GraphQL API and Prisma ORM.
- Astro – particularly suited for content-rich websites such as blogs, marketing sites, and e-commerce platforms.
- Blitz.js extends Next.js, focusing on building scalable applications quickly for small to medium-sized teams.
- Choosing the right framework depends on your project’s goals, technical requirements and team expertise.
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Dev
2w
155
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Boost Unit Test Efficiency Using Ai-Powered Extensions For Vs Code
- AI-powered VS Code extensions for unit testing are changing the game in software development.
- Traditional unit testing faces challenges such as being time-intensive, requiring tedious maintenance, and overlooking important edge cases.
- AI-powered extensions simplify unit testing by automating test generation, suggesting intuitive test updates, and providing code coverage insights.
- These AI-driven tools save time, improve code quality, and shift developer effort towards solving real problems.
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Cybersecurity-Insiders
2w
151
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Top Trends in SaaS Security Testing: Safeguarding the Cloud in 2024
- As SaaS continues to dominate the enterprise landscape, securing these cloud-based applications has become more critical than ever. To safeguard their SaaS applications, organizations are adopting proactive security testing practices. The top trends in SaaS security testing that are shaping how organizations protect their applications and data in the cloud are Shift-Left Security Testing, API Security Testing, Continuous Security Monitoring and Testing, Cloud-Native Security Testing, Automated Penetration Testing, Compliance-Driven Security Testing, Zero Trust Security Testing, and Artificial Intelligence and Machine Learning in Security Testing. By adopting these strategies, businesses can better safeguard their cloud applications and the sensitive data they handle. As these trends continue to mature, they are expected to significantly enhance the capabilities of SaaS security testing.
- Shift-Left Security Testing involves integrating security testing earlier in the software development lifecycle. This approach led to delayed patching and increased the potential for vulnerabilities in production environments. With Shift-Left security, security testing can be embedded from the start of the development cycle, addressing security issues at the earliest stages, reducing costs, improving software quality, and reducing the risk of breaches after deployment.
- API Security Testing is a priority for SaaS providers with interconnected microservices and APIs. Companies are leveraging specialized API security testing tools that can detect vulnerabilities such as improper rate limiting and lack of encryption. Dynamic Application Security Testing and Interactive Application Security Testing are employed to continuously monitor and assess API security across different environments.
- Continuous Security Monitoring and Testing allows security teams to identify and mitigate potential threats in real-time, ensuring that SaaS applications are always secured and compliant with the latest regulations and best practices.
- Cloud-Native Security Testing techniques leverage container security, Kubernetes security, and other cloud-native technologies to test the security posture of applications at the infrastructure level.
- Automated Penetration Testing allows organizations to conduct regular, automated security assessments without relying solely on human testers, which can be resource-intensive and time-consuming. Modern automated pen testing solutions offer the ability to test cloud environments, APIs, and third-party integrations.
- SaaS providers are incorporating compliance-specific security testing into their testing workflows to ensure that their applications adhere to relevant laws and standards. Automating compliance testing can help SaaS companies stay compliant with these regulations, minimize the risk of legal penalties, and provide greater assurance to customers about the safety of their data.
- In Zero Trust Security Testing, every request, whether internal or external, must be verified before granting access to resources. This involves testing solutions that simulate attacks on a Zero Trust network architecture and identifies misconfigurations or gaps in security policies that could allow unauthorized access.
- Artificial Intelligence and Machine Learning are playing an increasingly important role in SaaS security testing to detect vulnerabilities that may otherwise go unnoticed by traditional tools. Machine learning algorithms can be trained to recognize and predict new attack vectors based on historical data.
- By adopting these trends, businesses can better safeguard their cloud applications and the sensitive data they handle. As these trends continue to mature, they are expected to significantly enhance the capabilities of SaaS security testing.
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Medium
2w
103
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What is Dynamic Programming?
- Dynamic Programming (DP) is a powerful technique used to efficiently solve problems that can be divided into overlapping subproblems.
- DP has real-world applications in various fields such as logistics, operating systems, and finance.
- There are two main approaches in DP: Memoization and Tabulation.
- Memoization is a top-down approach that uses recursion and stores results of subproblems to avoid redundancy. Tabulation is a bottom-up approach that iteratively solves subproblems and stores their results in a table.
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Dev
2w
307
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Applying MERN Stack Skills in Real World Projects
- Transitioning from coursework to real-world projects can be challenging for developers working with the MERN stack.
- Real-world applications demand a deeper understanding of scalability, performance optimization, and security.
- Dealing with bugs and slow API response times are common challenges in MERN stack development.
- Tips for transitioning developers include mastering JavaScript fundamentals, learning one component at a time, building real projects, staying updated, and engaging with the community.
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Javacodegeeks
2w
333
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PHP 8.x: Exploring JIT Compilation and Performance Boosts
- PHP 8.x introduced JIT compilation that changes how PHP executes code, making it faster and more efficient for certain use cases.
- JIT takes opcodes to a step further by translating them into machine code, improving performance, and reducing overhead.
- JIT's performance benefits are most noticeable in CPU-bound tasks. For I/O-bound web applications, the gains are often minimal.
- To leverage JIT, adjust the opcache.jit parameter to match your application's needs.
- JIT can dramatically reduce execution time for computationally intensive contexts like scientific computing, data analysis, gaming servers, and real-time systems.
- JIT offers significant performance improvements for specific use cases, but is not without limitations, such as increased memory usage and complex debugging.
- To optimize for JIT, refactor CPU-bound loops and utilize PHP extensions for enhanced performance.
- JIT compilation in PHP 8.x is a significant step forward, positioning PHP as a potential powerhouse language for high-performance computing.
- Developers in niche fields, such as scientific computing or real-time systems, should explore JIT as a powerful tool in their arsenal.
- JIT opens doors to new possibilities, making PHP a serious contender in high-performance environments.
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Medium
2w
281
How do I check that a string has 2 dashes in it?
- C provides a rich set of built-in methods for manipulating strings.
- Concatenation can be done using the + operator or the String.Concat() method.
- Substring extraction is done using the Substring() method.
- String manipulation can be enhanced using regular expressions and LINQ.
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Medium
2w
406
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LangChain In Your Pocket free Audiobook
- The book 'LangChain In Your Pocket' has achieved major milestones, becoming a national and international bestseller in the AI category.
- To celebrate its success, the author has released a free audiobook version of the book, making it accessible to all users.
- The audiobook provides a comprehensive guide to the LangChain framework, covering topics such as Auto-SQL, NER, custom agents and chains, memory integration, output parsers, RAG for Q&A, few-shot classification, and more.
- The book is designed in a conversational setup to make the learning experience enjoyable for readers.
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Medium
2w
259
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AI in Software Development Automation: Shaping the Future of Programming
- Artificial intelligence is playing a crucial role in automating software development processes.
- Automation in AI is enabling faster development, changing the way of coding, testing, deploying, and maintenance.
- AI automates routine tasks and improves efficiency in software development.
- AI revolutionizes software development by making it a successful and professional business sector.
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