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Pymnts
3w
106
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Bank of America Taps Merchant Data to Boost Payment Approval Rates
- Bank of America is leveraging merchant data to enhance payment approval rates.
- Data sharing between issuers and merchants is crucial to improve authorization decision-making, especially in the rise of card-not-present transactions.
- Technology solutions like Trusted merchant IDs and APIs are being utilized for better authentication decisions and claims investigations.
- Efforts are being made to optimize the payment experience by securely storing card information for future use and enhancing security measures like 3DS 2.0 and 3DS Data Only.
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Dev
3w
139
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Developers, Stop Guessing , Real Users Are Telling You What Works
- Real users behave differently from developers' test assumptions.
- Emulators do not capture real touch interactions, network fluctuations, device-specific rendering quirks, and performance impacts accurately.
- A/B testing is effective only when based on how users experience the app, accounting for real device behavior.
- Real device testing tools like NativeBridge provide deep interaction metrics and enable UI-first A/B tests on actual devices for better app optimization.
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Dev
3w
266
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🎯"Don’t Forget Your Git Identity: A Must-Do When Starting a New Project"
- Setting up your Git config, including your name and email, is crucial when starting a new project to avoid misattributed commits or incorrect identities.
- Configuring your Git identity ensures that commits are correctly linked to your profile and maintains a consistent commit history in team projects.
- Git config can be set using --local, --global, and --system scopes, with --local being project-specific, --global for user-wide settings, and --system for system-wide configurations.
- Best practices include using --local for project-specific identities, avoiding --system unless necessary, and always verifying Git config settings before committing to a new repository.
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16 Likes
Dev
3w
354
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When Code Feels Empty: A Developer’s Honest Confession
- A developer reflects on how coding used to give them a sense of accomplishment and intelligence, but now leaves them feeling empty.
- Despite trying new languages and projects, the spark for coding did not return, leading to a realization that purpose and meaning were missing.
- The developer discovered that coding without a sense of purpose was the underlying issue, leading them to explore new avenues like writing, AI, psychology, and creative tech.
- The advice to developers feeling stuck is to give themselves space to explore and find what truly ignites their passion, rather than forcing themselves to love coding every day.
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Nordicapis
3w
327
Comparing 7 AI Agent-to-API Standards
- Agentic AI has gained significant popularity, with many companies implementing it and planning to expand its use in the coming year.
- New standards have emerged to allow AI agents to interact directly with APIs, offering various approaches that are not necessarily competitive but rather complementary.
- Anthropic's MCP (Model Context Protocol) aims to extend AI tools like LLMs by connecting applications and data sources to provide relevant context for tasks.
- Google's A2A (Agent2Agent) protocol enables communication between AI agents using 'Agent Cards' to describe capabilities, utilized by companies like Google and Salesforce.
- Cisco's ACP and AGP proposals under the AGNTCY initiative are designed to create an 'Internet of Agents,' allowing diverse agents to interact.
- Wildcard's agents.json provides a lightweight schema for describing agents' metadata, aiding in discovering and implementing the right agent, used by companies like Slack and HubSpot.
- LangChain's Agent Protocol offers a REST-based specification for deploying LLM-powered agents, facilitating orchestration in production environments, utilized by companies including Cisco and Fetch.AI.
- Agile Lab's Agent Specification, available as a detailed YAML file, helps standardize agents by describing their domain, value, and target user, offering a comprehensive approach for integration.
- AI agent-to-API standards play a crucial role in enabling agents to communicate effectively, ensuring secure and efficient interactions between autonomous agents.
- The variety of standards available cater to different needs, such as integrating agents into local tools, designing multi-agent ecosystems, connecting agents to APIs, or facilitating agent integration in various environments.
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19 Likes
Medium
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192
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ML.NET vs Python: Which One Should You Use for Machine Learning in 2025?
- ML.NET is a different approach from Python for machine learning, designed to integrate seamlessly with .NET applications.
- ML.NET allows developers to stay within the .NET ecosystem, avoiding the need to switch languages or tools.
- Python, on the other hand, is known for its conciseness, while ML.NET offers direct integration into .NET applications for easy production deployment.
- Tutorials for both ML.NET and Python are available on Archety.dev to help users learn and choose based on their preferences.
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11 Likes
Medium
3w
69
The Art of Balance: Navigating SSR, SSG, and CSR in Modern Frontend Architecture
- Client-Side Rendering (CSR), Server-Side Rendering (SSR), Static Site Generation (SSG), and Incremental Static Regeneration (ISR) are core tools in modern frontend architecture.
- Choosing the right rendering method depends on factors like content volatility, SEO importance, performance, server load, interactivity, and user experience.
- Most large-scale applications use a hybrid approach incorporating frameworks like Next.js, Nuxt.js, and SvelteKit for flexible rendering strategies.
- Dynamic routing and caching strategies play crucial roles in optimizing performance and scalability in modern frontend development.
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4 Likes
Dev
3w
358
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Read This Before OOP-ing Your Project : The Curse of Inheritance.
- The writer shares their experience of how Object-Oriented Programming (OOP) almost derailed their project despite loving OOP initially.
- The complexity arose when working on a UI framework in C++, where issues with polymorphism and inheritance in strongly typed OOP languages became apparent.
- Polymorphism in OOP allows different classes to inherit from the same parent but can lead to limitations in accessing specific behaviors of subclasses.
- Solutions proposed include bloating the base class with all possible behaviors, premonition design anticipating future behaviors, and downcasting for runtime identification.
- However, these solutions introduce complexities and make maintenance challenging, leading to a refactoring nightmare.
- The writer suggests considering alternatives like Entity-Component-System (ECS), Procedural programming with 'Dead Objects,' and using Unions or Algebraic Types over OOP Inheritance for future projects.
- They highlight the pitfalls of OOP in practice, especially in languages like C++, urging caution before fully embracing OOP for large projects.
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21 Likes
Dev
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319
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Backtracking : Master it like a pro
- Backtracking involves making choices, facing failures, backtracking, and trying alternatives.
- It is useful for exploring various combinations, permutations, or paths.
- To recognize a backtracking problem, look for phrases like 'Find all...', 'Count the number of ways...', or 'Return possible arrangements...'.
- The template for backtracking involves choosing an option, exploring with it, and backtracking if needed.
- A classic example is solving permutations, where all possible arrangements of distinct integers are generated.
- Backtracking visually involves picking numbers, adding to the path, and undoing choices if needed.
- Another example is solving combinations, where k numbers are chosen from a range, with order not mattering.
- It is crucial to understand the process of making choices, exploring, and backtracking in backtracking algorithms.
- Practice questions such as generating parentheses or solving N-Queens can help in mastering backtracking.
- Backtracking is a powerful technique for solving complex problems step by step and can be mastered with practice.
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Medium
3w
48
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How To Convert an Old PC/Laptop Into Home Lab.
- Transforming an old computer into a home lab can provide hands-on experience with ethical hacking, crucial for those pursuing a career in Offensive Security.
- Download VirtualBox from the official website, select the appropriate operating system, and install the latest version.
- After installation, set up VirtualBox by launching the program, keeping default settings, selecting location, and finishing the setup.
- Allocate around 10 GB of storage for the VirtualBox setup, and follow the steps to successfully set up Metasploitable2 with credentials: Username - msfadmin, Password - msfadmin.
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Javacodegeeks
3w
105
Image Credit: Javacodegeeks
Native Compilation with Spring Boot + GraalVM: Ultra-Fast, Low-Memory Apps
- GraalVM Native Image allows AOT compilation for Java apps, resulting in fast, low-memory executables.
- Combining GraalVM with Spring Boot and Spring AOT can produce sub-50ms startup time apps with minimal memory footprint.
- Spring AOT prepares apps for native compilation by replacing reflection and pre-computing bean definitions.
- Performance benchmarks show significant improvements in startup time, memory usage, and executable size between JVM and Native modes.
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6 Likes
Medium
3w
349
Image Credit: Medium
97% of Python Devs Still Use pip + venv — uv Makes That Obsolete
- A new Python tool called uv, written in Rust, is gaining popularity among Python developers.
- uv replaces multiple existing tools like pip, venv, pip-tools, and pipx, offering a faster alternative.
- Python developers are finding uv useful in both small and large projects, enhancing their workflow.
- Installing uv globally on your machine enables you to streamline package and environment management in Python.
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21 Likes
Dev
3w
214
Image Credit: Dev
100+ Downloads in One Day!
- create-aarambh-app is a modern JavaScript project starter CLI tool designed for building real-world apps with minimum configuration.
- The tool generates a clean project structure with pre-styled elements and zero configuration, making it easy to start a project.
- Notable improvements include ES Module support, bug fixes, and enhanced class toggling logic in Aarambh.js framework and CLI tool.
- The tool received 108 downloads in a single day on npm, marking a significant milestone for this new JS tool, encouraging further development and enhancements.
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12 Likes
Dev
3w
220
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Offloading Long-Running Tasks in Phoenix LiveView: Keeping Your UI Responsive
- Phoenix LiveView allows building real-time user interfaces without heavy JavaScript, but handling long-running tasks can freeze the UI.
- Offloading tasks to background processes in Elixir using concurrency patterns keeps LiveView responsive and scalable.
- Background workers, GenServers, and Phoenix PubSub are key components for offloading work and maintaining UI performance.
- Proper error handling, job tracking, and leveraging external services are crucial for designing responsive and scalable LiveView applications.
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13 Likes
Dev
3w
218
Image Credit: Dev
JavaScript Data Structures: Managing Tasks with Arrays and Objects
- The article discusses managing tasks in JavaScript using arrays, objects, strings, operators, control flow, and loops to create a dynamic and interactive Task Manager.
- Arrays in JavaScript are ordered lists perfect for managing collections, with key methods like push, pop, shift, unshift, forEach, map, filter, and length.
- Spread operator (...) creates a shallow copy of arrays, while array destructuring unpacks array values into individual variables.
- JavaScript objects store structured data as key-value pairs, and useful methods include dot notation, bracket notation, destructuring, Object.keys, and Object.values.
- Strings in JavaScript manipulate text data, with methods like toLowerCase, toUpperCase, trim, includes, replace, split, startsWith, and endsWith.
- Operators in JavaScript cover arithmetic, comparison, and logical decisions, and control flow includes if-else statements, switch cases, and ternary operators.
- Loops in JavaScript include for loop, while loop, and modern for...of loop for processing lists of tasks efficiently.
- The article also showcases a project on building a Dynamic Task Manager using objects in an array, forEach loop for dynamic rendering, and priority-based styling.
- The project achieves structured task data storage, dynamic rendering with forEach, priority-based styling, and the addition of priority badges for enhanced visualization.
- This practical example demonstrates how to implement effective task management in JavaScript using various programming concepts for a more interactive user experience.
- The article concludes by hinting at introducing event handling and interactive task management in the upcoming chapter of the series.
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