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Code. Spawn. Synchronize. — A Guide to Java Multi-threading

Multi-threading in Java allows applications to split responsibilities, delegate tasks, and handle complexity more efficiently.
Threads in Java are created by extending the Thread class or implementing the Runnable interface, providing flexibility for different use cases.
Thread states in Java include NEW, RUNNABLE, RUNNING, TIMED_WAITING, and TERMINATED, each representing a different stage of thread execution.
Java provides synchronization mechanisms like locks and inter-thread communication to control access to shared resources and avoid data inconsistencies.
ExecutorService in Java offers a high-level API for managing a pool of worker threads efficiently, improving performance and resource management.
Future in Java represents the result of an asynchronous computation, allowing for tasks to be executed and results retrieved at a later time.
ReentrantLock in Java provides full manual control over locking behavior, allowing the same thread to acquire the lock multiple times without getting blocked.
CyclicBarrier is used to synchronize multiple threads at a common barrier point before proceeding together, helpful in scenarios where coordination is required.
The volatile keyword in Java ensures immediate visibility of variable changes across threads, while AtomicInteger provides atomicity for concurrent updates without explicit synchronization.
Java's concurrent utilities offer powerful abstractions for handling multithreading scenarios efficiently and effectively.

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Medium

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Prompting for iOS Development — Less Sloppy Code from AI

When using AI-generated SwiftUI code, developers often find the need to refactor the code due to its messy nature.
The issue lies in the way developers communicate with AI tools, as they do not provide a proper context for generating code.
By giving vague prompts to AI, such as incomplete instructions or unclear directives, developers may receive functional code that lacks coherence with their coding style and preferences.
Creating a comprehensive context for AI tools can lead to more accurate and aligned code generation, improving the overall development process.

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Dev

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My Journey into Tech: From Curiosity to Code

Jayesh Verma, a Computer Science graduate, shares his tech journey from curiosity to code.
His interest in programming languages led him to explore web development and cybersecurity.
Jayesh has a strong foundation in HTML, CSS, JavaScript, and is currently exploring MERN stack and full-stack development.
He is interested in full-stack web development, cybersecurity, MERN stack, artificial intelligence, and cloud fundamentals.

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Dev

385

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Merchant of Record: The Complete Guide for SaaS Founders

Merchant of Record (MoR) is the legal entity selling your SaaS product/services, handling payment collection, tax compliance, fraud management, etc.
Options for MoR include being the seller yourself or using platforms like Paddle or Lemon Squeezy.
Choosing to be the MoR (e.g., with Stripe) gives control but requires managing tax compliance, disputes, and legal risks.
Platforms like Paddle handle invoicing, tax compliance, and legal responsibilities, simplifying operations for SaaS founders.
Pros of using MoR platforms include global tax compliance, simplified legal operations, and improved customer trust through compliant invoicing.
Cons include higher fees, limited checkout control, and difficulty scaling complex SaaS models.
Using MoR platforms reduces the burden of handling taxes, financial reporting, and legal compliance for international sales.
Considerations when choosing MoR include global tax compliance, billing control, complexity of pricing models, and customer preferences.
Switching MoR providers later can be challenging, highlighting the importance of making an informed decision from the start.
Choosing the right MoR approach is crucial for successful international growth and operational efficiency for SaaS businesses.

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Javacodegeeks

416

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Java Thread-per-Connection vs Thread-per-Request

This article discusses the differences between the thread-per-connection and thread-per-request models in Java, focusing on managing client connections and processing requests.
A connection is a persistent link between a client and a server, while a request is a communication unit asking the server to perform an action.
In the thread-per-connection model, a new thread is created for each client connection to handle I/O operations, leading to simplicity but inefficiency with many idle connections.
An example of this model is shown with a Java socket-based HTTP server creating a dedicated thread for each client connection.
The thread-per-request model involves creating a new thread for each request, allowing better scalability and concurrency handling.
An example is provided where each client message is processed in its thread using an ExecutorService with a cached thread pool.
The article compares the performance and use cases of both models, highlighting their differences in thread count, overhead, suitability, throughput, and connection lifetime.
Thread-per-request is recommended for high-throughput applications with many requests, while thread-per-connection is suitable for simpler scenarios with low to moderate traffic.
Overall, understanding these models can help developers decide which approach to use based on their application's workload and scalability requirements.
The article concludes by emphasizing the importance of selecting the right model for Java applications and provides the option to download the example source code.

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Johndcook

319

Houston’s long term planning

Houston is often criticized for lack of long-term planning, particularly due to its lack of zoning which allows organic growth.
Reports reveal that Houston's third beltway, Grand Parkway, was initially planned back in 1961 when the city's population was much lower at 1.2 million people.
The construction of the Grand Parkway began in 1994 and is still ongoing to complete the longest beltway in the US, covering more area than the state of Rhode Island.
Houston's success may be attributed to its macro-scale planning approach that looks far into the future while allowing flexibility and minimal micromanagement.

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Infoq

363

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Java News Roundup: GlassFish, JEPs Targeted for JDK 25, TornadoVM, Hibernate Reactive, Spring Cloud

The Java roundup for May 26th, 2025 covers GlassFish 8.0, four JEPs targeted for JDK 25, TornadoVM, Hibernate Reactive 3.0, and Spring Cloud 2025.0 releases.
JEPs like Generational Shenandoah and JFR Method Timing are targeted for JDK 25, with ongoing updates on JFR CPU-Time Profiling.
GlassFish 8.0.0 and 7.0.25 maintenance releases bring new features like improved class loaders and parallel capability.
Jakarta EE progress includes imminent Jakarta EE 11 release and approved plans for Jakarta EE 12.
TornadoVM introduces the GPULlama3.java project for GPU-accelerated inference, leveraging TornadoVM's capabilities.
Spring Modulith 1.4.0 and Spring Cloud 2025.0.0 releases offer bug fixes, dependency upgrades, and new features.
Hibernate Reactive 3.0.0.Final and Hibernate Search 8.0.0RC1 releases focus on compatibility and bug fixes.
Quarkus 3.23.0 release introduces support for named persistence units and data sources with Hibernate Reactive.
Groovy 5.0.0 beta release includes support for JEP 394 and a new injectAll() method in DefaultGroovyMethods.
JHipster Lite 1.32.0 release brings bug fixes, improved documentation, refactoring, and new features like Docker Compose support.
The article is authored by Michael Redlich, providing detailed insights into the Java ecosystem updates.

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RealPython

230

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How Can You Structure Your Python Script?

Transitioning from interactive environments to structured scripts in Python is crucial for promoting readability and robust development practices.
This tutorial helps transform messy scripts into well-organized, shareable code, incorporating standard Python practices and tools.
Key learnings include organizing scripts logically, managing script state efficiently, enhancing interactivity with command-line arguments, and creating self-contained scripts with inline dependencies.
The tutorial guides through steps like setting up the initial script, integrating external libraries, handling command-line arguments, structuring internal data, and enhancing feedback and robustness.
A concrete script interacting with a web server to work with the Iris dataset is used to demonstrate these structuring concepts.
Starting with the importance of the Shebang line for Unix-like systems, the tutorial covers organizing import statements following PEP 8 recommendations.
The Shebang line, like #!/usr/bin/env python3, makes Python scripts directly executable from the command line without typing 'python'.
Organizing import statements into standard library, third-party, and local imports helps in clarifying dependencies and improving code readability.
Minimizing dependencies for easy sharing and structuring scripts for better collaboration are essential scripting practices emphasized in the tutorial.
The tutorial offers a comprehensive guide on structuring Python scripts efficiently to enhance readability, collaboration, and development practices.

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Dev

358

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Build a Simple Counter Smart Contract in Solidity

A Counter smart contract is a basic contract that counts up and down, serving as a practice tool for beginners in Solidity.
The Counter contract consists of state variables, function creation, function visibility, and logic for incrementing and decrementing.
The contract code sets an initial count to 0, allows incrementing the count by 1 with a public function, and restricts decrementing below 0.
By deploying the Counter contract on Remix IDE, one can interact with functions to increase or decrease the count, getting hands-on experience with Solidity.

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Dev

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Crypto Borrow on WhiteBIT: A Practical Tool for Developers Working with Digital Assets

Crypto Borrow from WhiteBIT allows users to borrow digital assets with collateral for trading, transfers, and investments.
Developers benefit from dynamic borrowing capacity based on margin and leverage, an open-ended loan duration, full access to borrowed funds, and adjustable leverage with real-time validation.
The feature offers a testbed for developers working on trading platforms, DeFi tools, or financial simulations, enabling realistic product prototyping under dynamic market conditions.
WhiteBIT's Crypto Borrow is a valuable infrastructure tool for developers, providing controlled access to leveraged capital and streamlining the testing and deployment of crypto products.

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Dev

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Day-23 I Built a Colorful Random Number Guessing Game with JavaScript!

A developer built a Random Number Game using HTML, CSS, and JavaScript.
The game generates a random number between 1 and 10, allowing players 10 chances to guess it right.
If a player guesses right, they win, while each incorrect guess reduces their score by 1.
The project showcases the use of Math.random(), Math.floor(), DOM manipulation, event handling, and styling with CSS gradients and animations.

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Javacodegeeks

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Generate a Valid Expression from String Numbers to Target Value

This article discusses how to generate a valid mathematical expression from a string of digits to reach a target value using Java.
The problem involves inserting +, -, or * operators between digits without reordering or using parentheses.
The key concept involves backtracking to explore all possible operator combinations for the given input.
The Java implementation provided uses a recursive backtracking algorithm to find valid expressions.
The algorithm avoids invalid cases like leading zeros and efficiently prunes paths that do not lead to a solution.
The output includes all valid expressions that evaluate to the target value.
The code showcases how the backtracking method handles operator precedence and numeric string splits.
Sample outputs for inputs like '123' and target 6 demonstrate the functionality of the solution.
The article concludes by highlighting the importance of addressing key cases for generating valid expressions.
The provided Java solution efficiently handles operator insertions while considering cases like leading zeros.

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Dev

327

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a place for lazy yet ambitious ones

The era of artificial intelligence has made fundamental skills like critical thinking and problem-solving more valuable than ever.
Traditional education seems outdated in the face of AI advancements, leading to the creation of BoringSkool.
BoringSkool focuses on teaching thinking over memorization, creation over consumption, and sees AI as a collaborator.
The initiative aims to prepare individuals for a future where skills like entrepreneurship, creativity, and ownership are crucial for survival.

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Dev

115

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Shining a Light on Shadow DOM

Custom elements can suffer from FOUC where they appear as generic HTML elements before their structure and styles are applied.
One method to avoid FOUC is by hiding unregistered custom elements using CSS until they are registered.
To ensure custom elements work before the DOM is parsed, use Lifecycle Callbacks like connectedCallback.
By connecting the logic to Lifecycle Callbacks, custom elements can be configured before DOM parsing, preventing FOUC.
Prioritizing loading of above-the-fold elements and deferring others can improve rendering performance.
Declarative Shadow DOM can help avoid additional HTTP requests for rendering optimizations.
Sharing styles between Shadow Roots can be achieved by including a link to a stylesheet or adopting stylesheets inline.
Web Components offer versatile tools to encapsulate structure and styles, making it easier to create production-ready components.
Experimenting with advanced techniques in Web Components can lead to creating polished, production-ready components.
Continued exploration and refinement can help in developing robust, plug-and-play Web Component toolkits.

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Dev

159

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Real-Time Messaging with Go and JavaScript

WebSockets enable real-time communication between frontend and backend without HTTP delays.
The tutorial demonstrates creating a real-time chat application using Go on the backend and JavaScript on the frontend.
The backend setup involves Go server handling WebSocket connections by upgrading HTTP connections and echoing received messages.
The frontend code consists of HTML and JavaScript for sending and receiving messages instantly via WebSocket, opening possibilities for various real-time applications.

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