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Infoq

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LittleHorse, a Java Workflow Engine for Distributed Systems Orchestration

LittleHorse is a Java open-source platform designed to orchestrate distributed systems, addressing the challenges related to state management and coordination.
LittleHorse allows developers to define workflows programmatically using languages such as Java, Go, Python, C#, .NET, eliminating the need for specialized DSLs.
The platform's architecture revolves around the LittleHorse Kernel, written in Java, which executes defined processes and manages state durably.
LittleHorse offers intelligent workflow orchestration, allowing developers to focus on core business logic rather than infrastructure.

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Dev

394

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Command the Crew

The CrewAI framework is introduced to manage AI agents in projects like Facilis, using role-based design and flexibility.
The Planners group includes Extraction Agent, responsible for extracting API specifications, and Validation Agent, ensuring their correctness.
Interaction Agent and Production Agent fill missing API spec fields and gather essential information for interoperability, respectively.
Documentation Transformation Agent converts specifications to OpenAPI documentation, while Review Agent ensures quality and compliance.
Iris Agent integrates the finalized documentation with Iris I14y service, handling communication and validation.
The Generators group transforms OpenAPI specs into InterSystems IRIS interoperability components with agents like Analyzer, BS, and BO.
These agents work together to create Business Services, Business Operations, and manage the production environment in InterSystems IRIS.
Export Agent generates .cls files, while Collection Agent gathers them for compilation into InterSystems Iris.
Limitations and challenges are faced in automating OpenAPI to Iris Interoperability, dealing with AI models, hallucinations, and legacy systems integration.
Experimenting with AI models like GPT3.5-turbo, Anthropic Claude 3.7 Sonnet, and GT4o shows varying results and challenges in the project.
Despite the challenges, the project team learns and adapts, highlighting the promising future of AI applications in the field.

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Javacodegeeks

271

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How to Reuse PreparedStatement in Java

PreparedStatement in Java helps in executing parameterized SQL queries, enhancing security and performance by preventing SQL injection and reducing query parsing overhead.
Reusing a PreparedStatement without closing it between executions is beneficial as the database can avoid recompilation, leading to improved performance, security, reduced load, and cleaner code.
Creating a new PreparedStatement within a loop, as shown with the BOOKS table insertion example, is inefficient as it forces SQL parsing and compilation in each iteration.
The correct approach involves preparing the PreparedStatement once and reusing it across multiple executions, optimizing performance and maintaining cleaner code.
Batch processing with PreparedStatement is optimal for handling large data volumes, reducing network traffic, leveraging database batch capabilities, and enhancing overall efficiency.
By reusing PreparedStatement objects in Java JDBC API, developers can significantly improve performance, code quality, and overall database operation efficiency.
Choosing the right reuse strategy based on the use case, such as batch processing for bulk inserts, can lead to enhanced throughput and streamlined operations.
Efficient use of PreparedStatement in Java SQL contributes to optimized database operations and cleaner code writing.
Developers can download the source code examples provided in the article to implement efficient PreparedStatement reuse in Java applications.

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Johndcook

115

Morse code and the limits of human perception

Musician Adam Neely discusses the fastest music humanly possible to hear, not perform.
Most individuals can distinguish inter-onset intervals of 100 ms; Morse code perception exceeds this.
Morse code is comprised of dots, dashes, and varying spaces with odd timing intervals.
Words per minute (wpm) is a measure of Morse code speed, with PARIS as a common standard word.
Calculating inter-onset intervals based on wpm reveals the perception limit close to 100 ms.
People can receive Morse code at speeds exceeding the perceived limit, with a world record of 75.2 wpm.
Listening skills transition from recognizing letters to words around the 20-30 wpm range.
Intelligence officers could copy encrypted text at high rates, implying advanced listening skills.
The article discusses limitations and capabilities of human perception in Morse code decoding.
References to historical studies and records are made to support the analysis presented.

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Fueled

198

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Fueled Welcomes New Executive Talent in Early 2025

Fueled has welcomed three new leaders to its executive team: Ryan Martin, Chris Whaley, and Peter Slutsky.
Ryan Martin has joined as the Chief Financial Officer with vast experience in financial leadership.
Chris Whaley, with more than 20 years of experience in digital strategy, is the new Vice President of Client Strategy.
Peter Slutsky brings a mix of political, enterprise, and public sector expertise to his role as the Vice President of Client Strategy.

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RealPython

209

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Getting Started With Python IDLE

Python IDLE is the default IDE included with Python installations, allowing users to code right away.
You can edit and execute Python files and customize the environment in IDLE for your needs.
Python IDLE is free and bundled with Python, catering to basic editing, execution, and debugging.
To open IDLE, you use your system's application launcher or terminal based on the OS.
Understanding Python IDLE basics avoids the need for additional software installations.
IDLE stands for "Integrated Development and Learning Environment," akin to IDE.
Opening IDLE varies per OS: Windows users navigate through Start menu, Linux users may need to install it, while macOS users can find it via Spotlight Search or terminal.
The IDLE shell is the interactive interpreter where users can instantly interact with Python code.
The shell functions as a Read-Eval-Print Loop, allowing experimentation with code snippets.
The interactive interpreter in IDLE is ideal for testing short lines of code and small snippets.

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Medium

246

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“Ultimate Spective Camouflage”

The 'Ultimate Spective Camouflage' idea involves an active optical camouflage system that projects the scene behind an object onto its visible surface, making it appear transparent.
Key components include nano cameras for real-time image capture, fiber optics for data transmission, and piezoelectric technology for thin, flexible projection displays.
Challenges include power requirements, processing speed for real-time projection, computational complexity for correcting perspectives, and durability against environmental factors.
The integration of Precipice Space algorithms like Environmental Situational Awareness and Thermal Dissipation Optimization enhances the camouflage system's effectiveness.
The AI-driven Generative system utilizes the BICAROE framework to analyze, adapt, and predict camouflage strategies based on past performance, present environment, and future changes.
The Generative AI continuously cycles through stages like Data Ingestion, Strategy Generation, and Feedback Loop to optimize camouflage effectiveness.
This integrated approach enables the camouflage system to evolve from reactive to proactive, anticipating observer actions, and innovating new forms of visual deception.
Overall, the 'Ultimate Spective Camouflage' concept, with advanced technologies and AI integration, represents a significant advancement in adaptive invisibility technology.
The system aims to achieve truly effective invisibility through a blend of innovative technologies and sophisticated algorithms for real-time adaptation.

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Medium

119

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Delegation: The Key To A Successful Project

Delegation is the key to a successful project as a tech lead.
Being a tech lead is about creating leverage and scaling impact.
Proper delegation involves setting goals, explaining tasks, and providing feedback.
Delegation is about building people up and ensuring growth.

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Medium

156

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Why Choose Next.js Over Create React App

Next.js offers several advantages over Create React App for building React apps.
Next.js simplifies routing by allowing the creation of new files inside the 'pages' folder.
Next.js enables server-side rendering, allowing content to be shown before the page loads.
Next.js eliminates the need for a separate backend server, as it allows the creation of API endpoints within the same project.

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Dev

362

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Building Robust File Upload Systems with GoFrame: A Complete Guide

The article explores implementing file uploads with GoFrame, focusing on basic uploads, security, chunked uploads, cloud storage integration, and performance optimization.
GoFrame stands out due to its clean API design, built-in security, good performance, and flexibility compared to other Go frameworks like Gin and Echo.
A basic file upload server example is provided using GoFrame, showcasing handling file uploads and error responses.
Error handling and validation mechanisms are emphasized in the guide, covering scenarios like file size limits and type validations.
Chunked upload support is discussed for handling large files efficiently with practical code examples for handling chunk uploads.
Integration with cloud storage services like AWS S3 is demonstrated, including uploading files to the cloud with sample code snippets.
Performance optimization tips are shared, such as using buffered reading and implementing rate limiting for better file upload systems.
Common pitfalls to avoid in file upload systems are highlighted, emphasizing closing file handles, handling memory leaks, and ensuring security measures.
Real-world examples like image upload services with multiple formats, document upload services with virus scanning, resume upload manager, fault-tolerant upload manager, and rate-limited upload handler are detailed with code snippets.
Testing strategies and monitoring approaches for upload systems are discussed, with example test cases and how to add monitoring metrics to track upload performance.
The article concludes by summarizing key takeaways such as file validation, chunked uploads for large files, error handling, cloud storage considerations, and performance monitoring for optimizing upload systems.

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Medium

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Leetcode 239 | Sliding Window Maximum in C++ | Brute Force | Deque | Optimized Cpp Solution

The goal of the problem is to find the maximum value in every contiguous subarray (or “window”) of size k within the input array nums.
This brute force algorithm iterates through all possible starting indices of the sliding window and calculates the maximum value for each window.
An efficient solution using a deque (double-ended queue) is provided to improve the time complexity to O(n) by avoiding redundant comparisons.
By leveraging the deque, the algorithm ensures that the maximum value for each window is computed in constant time, making it well-suited for large input arrays.

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Dev

111

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How to test NestJS Guards

The article discusses the importance of testing strategies for NestJS Guards, which are often overlooked in many articles.
The author aims to provide a deeper understanding of testing Guards in NestJS through a series of articles covering various strategies.
The example scenario used in the article involves an application named 'WordWiz' with different subscription tiers and corresponding access levels.
The approach involves creating integration tests for Guards, simulating endpoints with various subscription requirements.
The Tests CAP Theorem is introduced, highlighting the balance between protection, speed, and maintainability in automated tests.
Integration tests are recommended as a starting point to test the entire flow and decision-making process of Guards.
The Humble Object pattern is employed to extract domain logic from Guards and test them in isolation for faster feedback.
Efforts are made to balance between unit, integration, and e2e tests based on the characteristics of each type of test.
The article concludes with a demonstration of e2e tests for endpoints with Guard implementation, ensuring access based on subscription levels.
Overall, the article aims to provide a comprehensive approach to testing NestJS Guards, emphasizing reliability, maintainability, and clear testing strategies.

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Logrocket

201

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The right way to implement AI into your frontend development workflow

AI tools are increasingly important in frontend development, but many developers struggle to implement them effectively.
Incorporating AI as a force multiplier for developers can lead to faster UI development with cleaner code.
While concerns exist about over-reliance on AI, proper implementation can enhance productivity and code quality.
AI coding assistants offer features like code completion, suggestions, error detection, and automation in frontend development.
Benefits of using AI tools in frontend development include rapid prototyping, better coding experience, improved collaboration, automation, and cost-effectiveness.
Examples of AI tools for frontend developers in 2025 include GitHub Copilot, Cursor, DeepCode AI, and CodeParrot AI.
Strategies for effectively implementing AI include maintaining a balance between human coding and AI assistance, thorough testing of AI-generated code, and avoiding excessive prompt cycles.
Frontend AI tools should be seen as assistants rather than replacements to ensure consistent and high-quality frontend software.
Implementing AI thoughtfully in frontend development can boost productivity and efficiency while leveraging human expertise.
Finding the right balance between AI tools and human skills is crucial for successful frontend development workflows.
AI in frontend development is a game-changer when used properly, enhancing development tasks without replacing human developers.

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Hongkiat

244

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How to Integrate ChatGPT With Visual Studio Code

ChatGPT can now integrate directly with Visual Studio Code (VS Code), allowing easier and faster code assistance.
To enable the integration, users need to install the official ChatGPT extension for VS Code and ensure the 'Enable Work with Apps' setting is on.
The integration allows for batch editing, automatic code generation, code readability improvement, vulnerability checks, and more.
While not as powerful as GitHub Copilot, ChatGPT offers a helpful and less intrusive AI assistant for developers in VS Code.

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Logrocket

168

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React Hook Form vs. React 19: Should you still use RHF in 2025?

React Hook Form is a performant form validation library in React that uses uncontrolled inputs instead of state to control inputs, reducing re-renders.
It is minimal, lightweight (8.6 kB minified and gzipped), has zero dependencies, and follows HTML standards for validation.
React 19 introduces built-in form handling, but the question arises whether to still use React Hook Form in 2025.
React 19 uses a new approach with form Actions, asynchronous functions handling form submissions directly, and leverages browser's built-in form behavior.
React 19 simplifies form handling with a focus on web fundamentals, eliminating the need for manual state tracking and resetting forms.
React 19 uses the FormData API to access form values, without the need to track input state in React.
React Hook Form offers flexibility, complex validation support with libraries like Yup, and is beneficial for large-scale forms, dynamic fields, and complex validation rules.
React Hook Form provides integration with UI component libraries, making it easier to create forms with various components and validation rules.
Using React Hook Form in scenarios where high performance, flexibility, and complex validation are required is recommended over React 19's native form handling.
React Hook Form maintains its relevance in 2025 for projects needing advanced form handling capabilities beyond what React 19 offers.

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