#Test Automation Best Practices

[softweb-solutions]

What is test automation: Ultimate guide and best practices 

Businesses have realized the importance of software development and quality assurance. To ensure the smooth functioning of software products and applications, testing plays a crucial role. 

Automation Testing Market size was valued at USD 19.9 Billion in 2021 and is projected to reach USD 89.81 Billion by 2030. –Verified Market Research

Test automation services have emerged as a game-changer in this arena. It is revolutionizing the way software is tested for functionality, performance and reliability. This article dives deep into the world of test automation, uncovering its services, benefits, best practices and its role in the realm of quality assurance.

What is test automation?

Test automation involves the use of specialized software tools to automate the execution of tests on software applications. Unlike manual testing, where testers execute test cases manually, test automation involves creating scripts that can perform these tests automatically. These speed up the testing process, reduce human error and enhance the accuracy of test results.

Understanding test automation services

Test automation services encompass a range of offerings provided by specialized companies. These services include designing and implementing automated test scripts, integrating testing frameworks and setting up continuous integration and continuous delivery (CI/CD) pipelines. By leveraging these services, organizations can ensure a robust testing process that aligns with their development lifecycle.

Advantages of test automation

Efficiency: Automated tests can be executed much faster than manual tests, enabling quicker feedback during development.

Accuracy: Automated tests are consistent and free from human error, leading to reliable and repeatable results.

Regression testing: Automated tests are ideal for performing regression testing, ensuring that new changes don't adversely affect existing functionalities.

Cost savings: While initial setup might require investment, automated testing ultimately reduces the need for extensive manual testing, saving time and money. 

Test automation best practices

Selective test cases: Not all test cases are suitable for automation. Choose test cases that are repetitive, time-consuming and critical for the application's functionality.

Regular maintenance: Automated tests require maintenance as the software evolves. Keep scripts up to date to reflect changes in the application.

Parallel execution: Run tests in parallel to expedite the testing process and obtain faster results.

Data management: Efficiently manage test data to ensure tests are robust and adaptable to different scenarios.  

Insights

Discover The Power of QA Automation Testing Services

Assurance testing. Before the application is made public or sent to the client, it needs to have addressed every issue and bug that might have crept in during the coding of the application. Delegating a dedicated engineer to perform manual tests can get cumbersome.

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Exploring Automated Testing as a Service (ATaaS)

Automated Testing as a Service (ATaaS) is a comprehensive solution that offers automated testing capabilities on a cloud-based platform. This service allows teams to access testing infrastructure remotely, enabling seamless collaboration and scalability.

The role of QA software testing companies

QA software testing companies play a pivotal role in driving effective test automation strategies. These companies specialize in providing expertise in test automation tools, frameworks and methodologies. They assist organizations in implementing test automation effectively, thus enhancing the overall quality of software products.

Benefits of QA automation testing

To delve even deeper into the advantages of test automation, consider referring our blog where we have highlighted the benefits of QA automation testing. As seen in this resource from Softweb Solutions, QA automation testing offers substantial advantages that complement the overall software development process. From improved test coverage to quicker time-to-market, these benefits solidify the importance of embracing automation in the testing lifecycle.

Leverage test automation for better quality of your software products

In the ever-evolving landscape of software development, test automation has emerged as an indispensable tool to ensure the quality, reliability and performance of applications. By leveraging test automation services and adhering to best practices, organizations can streamline their testing processes and deliver exceptional software products to their users.

FAQs related to test automation

1. Is test automation suitable for all types of testing?

Answer: Test automation is best suited for repetitive and time-consuming tests, such as regression testing, performance testing and load testing.

2. What are some popular test automation tools?

Answer: Some widely used test automation tools include Selenium, Appium and JUnit.

3. Can test automation replace manual testing entirely?

Answer: While test automation offers efficiency, it's not a complete replacement for manual testing. Certain scenarios still require human judgment and exploratory testing.

4. How often should automated test scripts be updated?

Answer: Automated test scripts should be regularly updated to align with changes in the application's functionality and features.

5. What role does continuous integration play in test automation?

Answer: Continuous integration ensures that automated tests are seamlessly integrated into the development process, providing rapid feedback to developers.

Originally published at medium.com on November 23rd, 2023.

[market-insider]

Automation Testing Insights: Transforming Testing

The global automation testing market size is expected to reach USD 92.45 billion by 2030. Prominent technological advancement in artificial intelligence (AI) and machine learning (ML) is propelling the demand for the market. Mobile application usage is growing across various end-user industries, and smartphone penetration is rising, opening an attractive potential for market expansion. Furthermore, there is a rising demand for automation testing as web-based applications have developed significantly and new software technologies have emerged. The market is growing rapidly due to the increasing usage of ML and AI for advanced analytics and continuous testing across DevOps and DevSecOps areas.

Automation Testing Market Report Highlights

The services segment dominated the market and accounted for over 56% of the global revenue owing to rapid advancements in implementation services, which make it easier to include automation into a functioning infrastructure for software testing

With the aid of this service, automation is integrated into an existing software automation testing setup

The large enterprises segment held the largest revenue share in 2022 as it helps improve efficiency, reduce manual effort, increase test coverage, and ensure the quality of software applications

The BFSI segment is estimated to have significant growth over the forecast period; adopting digitalization in the BFSI sector creates a significant demand for application software automation testing

Gain deeper insights on the market and receive your free copy with TOC now @: Automation Testing Market Report

The emerging use of RPA to automate time-consuming, error-prone manual processes are just a few instances of the usage of AI & ML in automation testing. Moreover, a bot uses the page’s numerous links and web forms to systematically explore through an online application when web crawling or spidering. This is a new use for AI and ML in automation testing. This approach is typically used for indexing online browsing. It may be improved further to perform reverse engineering on an application being tested and automatically find Test Cases. Emerging automation testing tools are significantly fueling market growth.

For instance, Testcraft, a codeless Selenium test automation platform for regression and continuous testing, as well as monitoring of web applications, is gaining traction among users. Their revolutionary AI tech removes maintenance time and cost, as it certainly affects changes in the app. Similarly, Applitools Eyes, Testim, and Test.ai are more automation testing tools propelling the market growth. Furthermore, mergers and acquisitions by other key players are propelling market growth. For instance, in 2022, to improve the user experience on 5G smartphones, Key sight introduced AI-driven and automated testing. Automation and AI enable mobile service providers and app developers to more swiftly evaluate how smartphone users engage with native apps in the real world.

[marrywillson]

Web application testing is a software testing technique that is used exclusively to test web-hosted applications, in which the web application interfaces, and other functionalities are tested.

[tudip123]

Unveiling the Essence of Mobile App Performance Testing: Ensuring a Seamless User Experience

In the dynamic world of mobile applications, user experience is paramount. Users today demand fast, responsive, and glitch-free applications, making Mobile App Performance Testing an indispensable phase in the development life cycle. In this blog, we explore the significance of mobile app performance testing, its key components, and best practices to ensure your app stands out in the competitive mobile landscape.

Introduction: The Need for Speed

Mobile app users are notoriously impatient. A sluggish app can lead to user frustration, negative reviews, and, ultimately, abandonment. Mobile App Performance Testing is the proactive approach to identify and eliminate bottlenecks, ensuring your app not only meets but exceeds user expectations.

Why Mobile App Performance Testing Matters:

1.Optimal User Experience:

Performance testing helps ensure that your mobile app responds promptly to user interactions, creating a smooth and enjoyable user experience.

2. App Stability:

Identifying and addressing performance issues in advance ensures your app remains stable under various conditions, reducing crashes and unexpected behavior.

  3.Customer Retention:

Users are more likely to stay loyal to apps that consistently perform well. Performance testing aids in retaining users and building a positive reputation.

4. Competitive Edge:

Outperforming competitors in terms of speed and reliability can set your app apart in a crowded marketplace.

Key Components of Mobile App Performance Testing:

1. Load Testing:

Assess the app’s performance under expected and peak loads to ensure it can handle user traffic without performance degradation.

 2. Stress Testing:

Push the app beyond its limits to identify breaking points and weaknesses under extreme conditions.

 3. Response Time Testing:

Measure the time it takes for the app to respond to user actions, ensuring swift and seamless interactions.

4.Memory and CPU Usage Testing:

Monitor and optimize memory and CPU usage to prevent resource exhaustion that can lead to slowdowns and crashes.

Best Practices for Effective Mobile App Performance Testing:

1. Start Early:

Incorporate performance testing from the early stages of development to catch and address issues before they escalate.

 2. Test on Real Devices:

Emulators are useful, but testing on real devices is crucial to simulate real-world scenarios accurately.

3. Continuous Testing:

Implement continuous performance testing throughout the development life cycle to catch regressions and ensure ongoing optimization.

4. Monitoring in Production:

Utilize monitoring tools to keep track of the app’s performance in real-world scenarios post-launch, enabling quick responses to emerging issues.

Conclusion: Delivering Excellence in Performance

In the competitive realm of mobile applications, performance can be the differentiator between success and obscurity. Mobile App Performance Testing is not just a quality assurance checkpoint; it’s a commitment to delivering an exceptional user experience. By embracing performance testing as an integral part of your development process, you ensure that your mobile app not only meets but exceeds user expectations, securing its place in the hearts and devices of users worldwide.

Click the link below to learn more about the blog Mobile App Performance Testing: 

[agiledock]

JavaScript Testing Best Practices: Frameworks for Success

Unlock the secrets to successful JavaScript testing with our detailed infographic! From unit testing in JavaScript to the most effective frontend testing frameworks, this visual guide showcases the top JavaScript testing frameworks, libraries, and best practices to ensure robust and efficient test automation.

[agiledocktech]

Top JavaScript Testing Frameworks for 2024: Boost Your Test Automation

Find the best JavaScript testing libraries for 2024. Learn about key frameworks for unit and integration testing, and discover best practices to streamline your testing process.

[ingenx]

As you've seen, SAP services are the catalyst that transforms potential into reality. They bridge the gap between aspirations and achievements, empowering you to navigate the complexities of SAP with confidence and expertise. With SAP services as your trusted partner, you can unlock new levels of efficiency, innovation, and success. Your journey towards SAP mastery begins with the right services.

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[automationqa]

Dive into our latest blog for expert insights and best practices on mastering Salesforce Automation Testing in 2024:

[communistkenobi]

(taken from a post about AI)

speaking as someone who has had to grade virtually every kind of undergraduate assignment you can think of for the past six years (essays, labs, multiple choice tests, oral presentations, class participation, quizzes, field work assignments, etc), it is wild how out-of-touch-with-reality people’s perceptions of university grading schemes are. they are a mass standardised measurement used to prove the legitimacy of your degree, not how much you’ve learned. Those things aren’t completely unrelated to one another of course, but they are very different targets to meet. It is standard practice for professors to have a very clear idea of what the grade distribution for their classes are before each semester begins, and tenure-track assessments (at least some of the ones I’ve seen) are partially judged on a professors classes’ grade distributions - handing out too many A’s is considered a bad thing because it inflates student GPAs relative to other departments, faculties, and universities, and makes classes “too easy,” ie, reduces the legitimate of the degree they earn. I have been instructed many times by professors to grade easier or harder throughout the term to meet those target averages, because those targets are the expected distribution of grades in a standardised educational setting. It is standard practice for teaching assistants to report their grade averages to one another to make sure grade distributions are consistent. there’s a reason profs sometimes curve grades if the class tanks an assignment or test, and it’s generally not because they’re being nice!

this is why AI and chatgpt so quickly expanded into academia - it’s not because this new generation is the laziest, stupidest, most illiterate batch of teenagers the world has ever seen (what an original observation you’ve made there!), it’s because education has a mass standard data format that is very easily replicable by programs trained on, yanno, large volumes of data. And sure the essays generated by chatgpt are vacuous, uncompelling, and full of factual errors, but again, speaking as someone who has graded thousands of essays written by undergrads, that’s not exactly a new phenomenon lol

I think if you want to be productively angry at ChatGPT/AI usage in academia (I saw a recent post complaining that people were using it to write emails of all things, as if emails are some sacred form of communication), your anger needs to be directed at how easily automated many undergraduate assignments are. Or maybe your professors calculating in advance that the class average will be 72% is the single best way to run a university! Who knows. But part of the emotional stakes in this that I think are hard for people to admit to, much less let go of, is that AI reveals how rote, meaningless, and silly a lot of university education is - you are not a special little genius who is better than everyone else for having a Bachelor’s degree, you have succeeded in moving through standardised post-secondary education. This is part of the reason why disabled people are systematically barred from education, because disability accommodations require a break from this standardised format, and that means disabled people are framed as lazy cheaters who “get more time and help than everyone else.” If an AI can spit out a C+ undergraduate essay, that of course threatens your sense of superiority, and we can’t have that, can we?

[ourjobagency]

5 Easy Ways To Improve Salesforce Data Backup Recovery Strategy

In today's data-driven world, businesses rely heavily on Customer Relationship Management (CRM) systems like Salesforce to manage their customer information, track sales, and drive growth. However, even the most robust platforms are not immune to data loss or system failures. That's why having a solid Salesforce data backup and recovery strategy is crucial for ensuring business continuity. In this blog post, we'll explore five easy ways to enhance your Salesforce data backup and recovery strategy.

Regularly Scheduled Backups:

The foundation of any effective data recovery strategy is regular data backups. Salesforce provides a built-in data export tool that allows you to export data in a structured format, such as CSV or Excel. Set up a routine schedule for these exports to ensure that your data is backed up consistently. Depending on your organization's needs, you may choose to perform daily, weekly, or monthly backups.

Automate Your Backups:

Manually exporting data can be time-consuming and prone to errors. To streamline the process, consider automating your Salesforce data backups using third-party backup solutions. These tools can schedule and execute backups automatically, ensuring that your data is consistently and reliably backed up without manual intervention.

Store Backups Securely:

Backing up your Salesforce data is only half the battle. Equally important is where you store those backups. Utilize secure and redundant storage solutions, such as cloud storage platforms like Amazon S3 or Google Cloud Storage. Implement encryption and access controls to safeguard your backups from unauthorized access.

Test Your Recovery Process:

Having backups is essential, but they're only as good as your ability to recover data from them. Regularly test your data recovery process to ensure that it works as expected. Document the steps, and make sure that your team is familiar with the recovery procedures. Conducting mock recovery drills can help identify and address any potential issues before they become critical.

Monitor and Alerting:

Proactive monitoring is key to identifying data backup and recovery issues early. Implement monitoring and alerting systems that notify you of any backup failures or anomalies. This way, you can take immediate action to rectify issues and minimize data loss in case of a failure.

Consider Salesforce Data Archiving:

As your Salesforce database grows, it can become challenging to manage large volumes of data efficiently. Salesforce offers data archiving solutions that allow you to move older or less frequently accessed data to a separate storage location. This can help reduce storage costs and improve system performance, making your data recovery strategy more manageable.

In conclusion, enhancing your Salesforce data backup and recovery strategy doesn't have to be complicated. By implementing these five easy steps, you can significantly improve your organization's ability to recover critical data in the event of data loss or system failures. Remember that data is the lifeblood of your business, and a robust backup and recovery strategy is your insurance policy against unforeseen disasters.

[1800duckhotline]

hiiiiiii desmond question: what got her into chess and why does she like it sm <3

OH THIS IS A GREAT QUESTION BECAUSE I HAVE A BIT OF AN ANSWER FOR IT ACTUALLY.

I thought about it some time ago and some details are muddy, but the short story is that Desmond was turned by her sire somewhere during the 1970s when she was studying the at-the-time equivalent of Computer Science in university (which university in which state is to be decided, as her backstory isn't precise to me just yet).

Desmond had, ever since she was small, an obsession with mathematics, and when the frontier of computer science was open to students she was ecstatic to become a scholar. At the time it was referred to generally as studies in automation, computing, and development of information theories as well as the creation of models of computations. I'm far from an expert on the subject but essentially she was very very fascinated by the idea of applying algebra, algorithms and mathematics to the fields of probability which would become some of the basis for computer automation, as well as hardware and software developments.

Chess was a natural passion for her because it also relies heavily on calculating probabilities and to some extent playing chess is like trying to figure out your opponent's "algorithm", she would say. I think this may as well be because in her program she was obsessed with trying to come up with computers that're unbeatable at chess - her experiments weren't always successful but it was something she was passionate about. She herself loved to play chess on her own, and her enjoyment of the game picked up even more when she tested her programs more often than not!

This would more or less explain a lot of the reason behind why she was turned and specifically why Tremere - while Tremere in general are seen as blood sorcerers, they tend to be very calculative which Desmond at all effects is to a hilariously literal degree. For her, everything can be a mathematical equation, if she tried hard enough to figure out which ones. Her interactions with others often come across as extremely curated, almost like she's playing chess in real time with her conversation partners in her mind, trying to find the best way to catch them off guard and "checkmate" them. The details behind her own embrace and her sire are (for now) very irrelevant I think, so it's not necessary to delve deep into it, but more or less this is why she's such a big chess girl.

And yes even in her unlife, in the 2000s, she is extremely passionate about computers and their development: she didn't lose practice when it comes to programming algorithms at all, either.

Her passion for mathematics is also kind of her biggest flaw, though, because Desmond cannot improvise. She works with a strict set of rules every time, and if anything ever so tiny goes wrong, her whole plan is ruined. She cannot handle surprises or distractions and tends to get frustrated quickly when she cannot resolve the imbalance in an instant (which is why she was attracted to Madonna and sired her, as Madonna is the complete opposite on the same spectrum - working in the medical field also has a set of rules, but expects you to be more flexible to handle things that go wrong out of nowhere).

I rambled again . BUT THANKS FOR ASKING ABOUT DESMOND. SHE IS TRULY THE SCHEMIEST OF SCHEMERS... I love that about her a lot i think. We talk about mad scientist tremeres but we need more mad fixated mathematicians tremeres imo (esp women thanks

[gottawriteanegoortwo]

A Letter From Yancy

Another year on from the events of Heist and meeting you for the first time, Yancy wants to mark it. Easier said than done when you are in a spaceship millions of miles away.

But, strange things have happened on this ship.

Word count: 1,643

-

It was a quiet day on the Invincible, a rare relief for you. After your morning duties, you found you had free time to do things that you wanted to do.

That, of course, started with a nap. 

The nap was exactly what you needed after a busy week, and you felt rejuvenated to properly check in on various teams on the ship. You kept a professional air, but everyone seemed to know you were in the mood for casual chat. For once, it was nice to lower your guard a little and let the crew see you as a person rather than some mysterious, looming figure.

Well… Mostly. Gunther had gleefully pointed out how members of the ‘Captain Fan Club’ had been lingering around, peeking glances into whatever room you happened to be in. When you tried to look at them, the club members quickly spun around and tried to play it cool through random topics of conversation or pointing out different features like they were on duty. You weren’t exactly sure how a member of the ADS was supposed to give any professional opinions on what were actually oxygen pipes, but you left them to it.

Eventually, you gave them the slip and went down a small side corridor. The engineering department had a workshop dedicated to reparations and other projects. Mark had mentioned he had been building a prototype of a ‘cool idea’, and you would be lying if you said you weren’t curious about it.

-

“Captain! You’re just in time! Come here, come here!” Your Head Engineer was in high spirits as he grabbed you by the arm and yanked you across the workshop. “So I was talking to Burt a few weeks ago and - you know how he does the whole poetry thing? Turns out? He writes it! And not on the tech pads. On paper! I didn’t think anyone even did that these days!”

You raise an eyebrow, deciding not to point out that writing on paper was not fully extinct. Best to let him be excited as he showed off the large machine with tubes poking out of it.

“So it got me thinking. What if there was an automated postal system? Once you’ve written your letter and sealed it, you write the number code of the person you want to send it to. Then, you’d put the envelope in here.” A handle was pulled to reveal an opening. “From there, the computer scans the code, sorts it, and sends it zipping to its destination! The tubes would go in different directions, with the aim to bring it directly to the person’s cabin. Or! If you’re out, you can pick it up from over here.” He waved at you to follow him, where there was the end of a tube just over a small platform. “You type in your code here, scan your hand here, and it’ll send it right back here. Like this.” Stepping around you, Mark followed the steps. Three short, aggressive beeps followed, accompanied by an automated message saying there was no post available. “You try! I’ve only tested it on my code so it’ll be good practice to see if it will recognise anyone else.”

You nod, and follow Mark’s instructions. First, the code. Then, the scan.

One long, less aggressive beep was heard. 

“That’s not right-”

‘Please Wait. Your post will be with you shortly.’

“Hold on. There shouldn’t be anything!” Mark put an arm out, stepping in front of you protectively as you both waited to see what would arrive. A tube to the left rattled. The main body of the machine lit up in a sequence of lights. Mark braced himself as the tube in front of you shook and spat out… A letter.

You lean forward, peering over Mark’s shoulder as you stare, dumbfounded at the post that was successfully delivered.

“Captain…? I think this is a trap. What do we do?”

Two options appeared before you: destroy the letter, or examine it.

Curiosity got the better of you as you moved around Mark to open the hatch. There was a brief, childish squabble as he attempted to block you from getting there, but your strength guaranteed that you could simply lift him up and place him behind you.

“Er… Sorry, Captain. You do know what’s best…”

Satisfied that he wouldn’t cause another ruckus, you finally claimed the letter and examined the envelope. As expected, it was addressed to you, but not how Mark said it should be. Rather, it was for your old address on Earth. Had you been there still, it would have arrived safely. A different handwriting had your number code in the top corner, just beside the stamps, with a small moustache drawn underneath.

“So… Is it safe?”

You nodded as you reread your old address. The handwriting was messy and scratchy, but it was so familiar. You had seen it a dozen times before. 

The question is… How did a letter from Yancy get here?

-

With Mark distracted on his mission to figure out who onboard sent the letter, you sat at his desk and opened the envelope. Everything was untouched, meaning that the second sender didn’t peek inside. Yancy knew about ‘space camp’ and how you were inaccessible, yet… he wrote anyway?

Your name was on the top of the creased, lined paper. To the right, you could see it was dated from the start of October. Everything was the same as always - from the scratchy pencil he over-sharpened, to the bad spelling and grammar. It was quintessentially ‘Yancy’. 

-

I don’t even know why I’m doing this. You isn’t living here. You moved out ages ago. But i has been thinking.  It’s the middle of the night here. Still in Happy Trails, still on the slow path to a parole hearing. And I has been looking at the sky. There ain’t many stars out there but they make me think of you. You doing okay out there? Bet you is so fucking far away by now. Maybe you found new planets or something. Doubt this little rock is even on the back of your mind but… it’s been quiet. Not being able to see you, I mean.  Look, I gotta be honest. It’s october, and that’s the month when we first met. It’s hard to let the month pass and not mark that somehow, even if its through a shitty letter that ill get back in a week or two. Things ain’t easy right now. The parole thing? I know its the right thing to do, but it’s intimidating now that im in the middle of it. When that hearing comes itll be the first time i has seen my brother and sisters since the incidents. Ain’t looking forward to that. And they can say that they don’t think me fit to leave too. Not that i blame them. Dont think they can get my sentence upgraded to the death penalty but theres a real big chance that im gonna be rejected.  I know i should give up while im ahead and save the embarasmant. But then i gets to thinking that it ain’t the right thing for me no more. I might fuck up and get refused but i gets to say i tried. That’s something, right? And anyway, i ain’t letting you down. You believe in me. You always said you believe in me when you came to visitation. Giving up is quitters talk anyway, and im no coward. You dont get scars like mine from hiding all scared!! But i aint that kid no more. The person who did those things is me but isnt me. Does that make sense? Hes me, but im not him. I think ive grown up more than i realised. Im not that trapped kid. Im Yancy, and im going to do right. Once i get out……. Itll be a good thing. Maybe I could get up to where you is. Or maybe by then you is back and maybe we could… do something. I dunno. Im still proud of you for all you is doing, even when you is having one of them bad days.. Dont forget that. Except if you is a nosy shit who this letter ain’t for. You can fuck right off. Or send me a letter back so i can see whether i should be proud of you too. Oh! Remember. Back or side of the knees is a GRATE weak point if you needs a quick escape. Not that i want you to get in trouble or nothing. Just giving some good advice! Wait. I should probably go back to bed. fuck. Hope you is safe. Yancy.

-

You couldn’t stop the wistful smile as you finished the letter. At the bottom, you noticed an addition written in pen, the same one that was used to address the envelope.

-

PS. Nearly sent this in but someone brought in one of them instant camera things! Asked them to take a photo of me so you dont forget this handsome mug!

-

That caught your interest, and you lifted the envelope to peer in. Sure enough, there was a Polaroid tucked away at the bottom that was swiftly retrieved.

Yancy was certainly a little older than you remembered. He still had a pompadour style, but it wasn’t held back as tightly and allowed the curls to loosely fall. His eyes were squeezed shut to accompany the wide, goofy smile and two thumbs up. You chuckled at the conversation that must have happened when the photo was taken about what pose to do. Instead of one to remind you of how tough he was, he instead opted for one that proved that, despite everything, he was still a friend you valued.

You were proud of him too, even if you couldn’t tell him.

[build-apps]

React Native Auto Code Application Development: The Smart Way to Build Mobile Apps

Introduction to React Native Auto Code Application Development

React Native auto code application development is changing the way mobile apps are built. Developers now use intelligent automation tools to generate code quickly and accurately. This speeds up development, reduces errors, and improves the overall quality of applications.

Auto code development with React Native is ideal for startups, agencies, and enterprises aiming to deliver high-quality apps fast.

Benefits of React Native Auto Code Application Development

1. Speed Up Development Cycles Automation tools handle repetitive tasks instantly. Developers can focus on building unique features rather than wasting time on boilerplate code.

2. Maintain Consistent Code Quality Auto-generated code follows consistent standards. This consistency improves code readability and eases future maintenance.

3. Reduce Human Errors By automating setup and structure, auto code tools minimize the chances of introducing bugs during the initial stages.

4. Enhance Developer Productivity Developers spend more time solving real problems and less time writing repetitive components.

5. Cost-Effective App Creation Faster development with fewer mistakes leads to lower project costs. This allows businesses to scale faster without ballooning budgets.

Popular Tools for React Native Auto Code Development

Ignite CLI Ignite offers pre-configured templates and plugins, making it easy to set up scalable projects instantly.

Hygen Hygen is a simple yet powerful code generator that helps teams maintain consistent coding standards with minimal setup.

Plop.js Plop.js allows developers to create custom generators for components, screens, and more, saving hours on manual coding.

Draftbit Draftbit provides a visual builder for React Native apps. Developers can create screens visually and export production-ready code.

Steps to Implement Auto Code in Your React Native Project

Step 1: Select the right auto code tools based on your project size and complexity. Step 2: Install and configure the tools within your development environment. Step 3: Create templates for commonly used components and screens. Step 4: Generate code structures automatically with simple commands. Step 5: Customize and enhance the generated code to meet unique business needs.

Following a structured approach ensures that automation becomes an asset, not a liability.

Challenges of Auto Code Application Development

1. Initial Learning Curve Some auto code tools require initial time investment for setup and training.

2. Over-Template Dependency Too much reliance on templates can sometimes limit creativity and flexibility.

3. Need for Regular Updates Auto code tools need constant updates to stay compatible with the latest React Native versions.

Developers can overcome these challenges with proper training and proactive tool management.

Best Practices for React Native Auto Code Development

- Use Automation for Repetitive Tasks Only Rely on auto code tools for repetitive elements but custom-build critical business logic manually.

- Keep Templates Updated Ensure all code generation templates are updated regularly to match new coding practices.

- Conduct Regular Code Reviews Even auto-generated code should undergo strict code reviews to maintain quality standards.

- Train Developers Continually Keep teams updated with the latest automation practices and tool updates for maximum efficiency.

Future of React Native Auto Code Application Development

The future points toward more AI-driven automation. Smart assistants will suggest code, build UI components, and even test functionalities automatically. React Native developers who embrace automation today will gain a competitive edge tomorrow.

Innovation combined with automation will define the next era of mobile app development.

Conclusion

React Native auto code application development offers a smarter, faster, and more efficient path to building world-class mobile apps. It helps developers minimize repetitive work, deliver projects quicker, and ensure consistent quality across platforms.

By integrating automation thoughtfully, businesses can create better apps and reach the market faster. React Native auto code development isn't just the future—it's the present.

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Low code application development platform or Low code platform for application development

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Compare Wavemaker vs Outsystems vs mendix vs power apps — low code alternatives and its pricing

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Alternative to Xamarin and Cordova 

Wavemaker Low code

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Cross-Platform React Native Mobile App Development Platform

[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.