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Understanding the concept of a tech stack is essential. In this blog post, we look at the meaning of the term “tech stack,” explore its components and provide examples of common tech stacks. By Daragh Ó Tuama.

Further in this article you will learn:

• What is a tech stack?
• What is in a tech stack?
• Presentation layer (Front End)
• Application layer
• Data layer
• The best tech stacks for programmers
  • LAMP stack
  • MEAN stack
  • MERN stack
  • .NET stack
• Which tech stack should I learn?

By starting with the fundamentals and gradually exploring different technologies, you can develop a strong foundation in software development and stay adaptable in this ever-changing field. So, embrace the world of tech stacks and embark on your journey to become a proficient developer. Good read!

Now AWS Lambda scales up to 12 times faster. Each synchronously invoked Lambda function now scales by 1,000 concurrent executions every 10 seconds until the aggregate concurrency across all functions reaches the account’s concurrency limit. By Marcia Villalba.

Building scalable and high-performing applications can be challenging with traditional architectures, often requiring over-provisioning of compute resources or complex caching solutions for peak demands and unpredictable traffic. Many developers choose Lambda because it scales on-demand when applications face unpredictable traffic.

Before this update, Lambda functions could initially scale at the account level by 500–3,000 concurrent executions (depending on the Region) in the first minute, followed by 500 concurrent executions every minute until the account’s concurrency limit is reached. Because this scaling limit was shared between all the functions in the same account and Region, if one function experienced an influx of traffic, it could affect the throughput of other functions in the same account. This increased engineering efforts to monitor a few functions that could burst beyond the account limits, causing a noisy neighbor scenario and reducing the overall concurrency of other functions in the same account. Excellent news!

A quick migration guide to Vite from Create React App, because (apart from Next.js) Vite is the natural successor of CRA for creating a modern React application as SPA. By Robin Wieruch.

"scripts": {
  "start": "vite",
  "build": "vite build",
  "serve": "vite preview"
},

The article then guides you through all the necessary steps:

• Install Vite and all React related libraries (here: Vite’s React Plugin) as development dependencies
• Uninstall create-react-app’s dependency
• Adjust your package.json to use the following new scripts
• Rename all extensions of files which are using JSX from “.js” to “.jsx”
• Create a vite.config.js file in your Vite + React project’s root directory
• Move the public/index.html into the project’s root folder, because Vite expects it there
• Remove all %PUBLIC_URL% occurrences in the index.html file
• Last, link the src/index.js file in your moved index.html file

If you have been using a create-react-app project without any further configuration (e.g. a fresh create-react-app installation), you are ready to start your new Vite based React application with npm start. Good read!

Kaggle is the largest platform for data scientists and machine learning experts, offering aspirants with the most hands-on experience in the complicated field of data science. Due to this, experts have high praise for the Kaggle community for its role in data scientist upskilling. The study of any subject requires classification. If you want to crack open all the data types for the juicy information inside, check out the different types of big data articles here. By Abhresh Sugandhi.

Further in this article:

• What is Kaggle?
• Skills required by a data scientist to master Kaggle
• How to use Kaggle for data science
• Equip yourself with the basic skills

Kaggle is the largest platform for data scientists and machine learning experts, offering aspirants with the most hands-on experience in the complicated field of data science. Due to this, experts have high praise for the Kaggle community for its role in data scientist upskilling. The study of any subject requires classification. Good read!

In today’s digital world, when having good and reliable software plays a crucial role in the operational processes of every business, the developers bear the responsibility to produce high-quality code. However, that’s easier said than done. They may encounter various challenges during the development process that can lead to unintentional mistakes, resulting in what is known as code smells. But what is code smell? By softteco.com.

Back in the late 1990s, Kent Beck, the creator of extreme programming, emphasized the importance of design quality in software development. He played a significant role in popularizing the term “code smell” to describe certain patterns or characteristics in code that indicate potential issues or weaknesses.

In this article you will learn about:

• Why do code smells occur?
• How to identify code smells?
  • Common types of code smells
  • Automated analysis tools
  • Experience-based knowledge
• Common types of code smells
  • Bloaters
  • Change preventers
  • Couplers
  • Object-orientation abusers
  • Dispensables
• Best practices to reduce the code smell

Although code smells themselves may not directly cause the code to break, it is indeed crucial to be mindful of their presence. It can serve as warning signs that something could be wrong in the code, indicating potential issues or weaknesses. Interesting read!

Understanding the concept of quantum physics lays the foundation for distinguishing how quantum computers differ from classical ones. Unlike the binary logic used by classical computers, where computation is confined to zeros and ones, quantum computers leverage a state known as superposition, which allows for simultaneous existence of zeroes and ones. By Rich Tran and Franz Klein.

Further amplifying this power is a phenomenon called entanglement, where qubits are closely linked to enable simultaneous manipulation of all states. To put it simply, entanglement enables us to examine the resources of a system concurrently, thereby significantly enhancing the efficiency of traditional computers for a range of potentially valuable tasks.

Further in the article:

• Significant game changers
• Standard industry phrase for a straightforward concept—a quantum computer and a conventional computer cooperating to solve a problem - is “hybrid quantum computing”
• Quantum is commercial and mainstream and is on the road map of every CEO
• Government, academia and industry involvement in quantum computing will significantly rise, both in terms of investment and the need for national security measures
• The Warfighter’s Cutting Edge

Experts anticipate revolutionary applications for quantum technologies, such as safeguarding cryptography, enhancing data analysis with quantum machine learning, improving portfolio optimization and supply chain management algorithms, creating more secure blockchain solutions and simulating intricate chemical reactions to assist in drug development. Good read!

The future is AI-driven, trust-centric dialogue between brands and consumers. The generative AI race is well underway, and we’re already seeing applications in advertising and marketing for creative ideation and development. This includes one of the key pillars of digital advertising—search. By Christian J. Ward.

In the last six months, the breadth and pace of innovation has been intense. Google has had more core updates and helpful content updates targeting potential misuses of gen AI. At the same time, they’ve expanded their own use of their Search Generative Experience, which is constantly improving and prompting important debates in the SEO community. Microsoft’s Bing has expanded its partnership with OpenAI, and CEO Satya Nadella’s annual shareholder letter could have been called the “Copilot chronicle” expansion. This doesn’t even cover the mind-blowing expansion of image generation and other advancements over this same period of time.

The article then summarizes some trends in sections about:

• Dialogue over monologue
• Offers, not ads
• Subjective data over objective data

Once consumers become more familiar with objective search benefits, gen AI dialogue will create opportunities for brands to have honest conversations and find out what consumers want. A dialogue (through search and chat) powered by gen AI and authoritative knowledge graphs of information is the best way to get started. Nice one!

With the growing discussions about the integration of artificial intelligence (AI) into software development via tools like ChatGPT and Github Copilot, author has explored these AI-driven coding aids for some time. Initially, he engaged with Tabnine, a tool similar in function to Github Copilot, albeit a paid service, and his initial experiences were less than satisfactory. Subsequently, author approached AI-based products from other companies with a certain degree of skepticism. By Michał Szulczewski.

Tha article focuses on:

• Advance chat bots – ChatGPT and Github Pilot
• Potential challenges encountered by developers in the utilization of AI chatbots
  • Suboptimal recommendations for less common libraries and unconventional use cases
  • Reviewing new iterations of code imposes considerable cognitive load
  • Mismatched Variable and Function Nomenclature
  • Code often does not function
  • Textual chat flow differs from programming flow
• Positive aspects of using AI chatbots
  • Facilitating exploration in unfamiliar domains
  • Employing chatbots as an interactive rubber duck
  • Streamlining the configuration of fundamental structures
  • Operations on selected code
• Extensions for Integrated Development Environments (IDEs)
• AI vs. LSP

… and more. In author’s view: “Drawing from my experience of over eight years as a programmer, I’ve come to appreciate that programming is an ongoing journey of acquiring new knowledge and leveraging emerging libraries. However, given the magnitude and diverse nature of errors that AI can introduce, along with the ever-evolving landscape of programming languages and libraries, AI may never fully replace human programmers.” Interesting read!

Node.js is a popular JavaScript runtime for writing backend applications. Its flexibility and nonblocking nature have made it the premier choice for API consumption. It’s important to note that Node.js, which is single-threaded, isn’t ideal for heavy computational tasks as blocking the main thread with lengthy calculations can lead to performance issues. Fortunately, Node.js supports worker threads, providing a way to handle such intensive tasks without blocking the main thread. By Anshul Goyal.

You will also learn:

• How do Rust and Node.js work together?
• What is the Foreign Function Interface (FFI)?
• Setting up our Node.js project
• Writing the Rust code with Neon
• Writing the Rust code with FFI

This guide merely scratches the surface of the potential that the Rust and Node.js combination holds. We’ve walked through the basics of integrating Rust code into a Node.js application, using both the Neon and Foreign Function Interface methods. These examples should provide a solid foundation for your future projects involving Node.js and Rust. Good read!

Explore the power of code reusability in software development. Learn best practices for efficiency, cost-effectiveness, and superior software quality. By Anupam Pal Singh and Harshit Paul.

Code reusability is pivotal in fostering clean, modular, and efficient software development. By utilizing pre-existing code, developers can focus their energies on adding fresh features, rather than starting from scratch with every project. Additionally, this practice diminishes the chances of introducing errors or incongruities, as developers depend on proven and tested elements.

The article then explains:

• Why is code reusability important?
• Types of code reusability
• What Are the Benefits of Code Reusability?
  • Enhanced time efficiency
  • Elevated quality
  • Ensured consistency across projects
  • Simplified maintenance
  • Promotes scalability and extensibility
• How to improve code reusability
• What are best practices for code reusability?
• What are the challenges of code reusability?

… and more. Code reusability is not merely a technical endeavor; it is a strategic imperative. It empowers organizations to respond agilely to changing market demands, to scale operations efficiently, and to future-proof their software investments. It fosters collaboration and knowledge sharing among development teams, accelerating the collective pace of innovation. Nice one!