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Medium

142

How to Swap HPO (Hippocrat) to Hippo Protocol

Confirm the migration from HPO to Hippo Protocol via official sources.
Check for a swap portal (DApp) for the token swap process.
If no DApp available, follow manual migration instructions provided by the team.
After swapping, add the new Hippo Protocol token contract address to your wallet.

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Dev

201

Image Credit: Dev

🐾 Meet WildEnv: Tame Your Environment Variables Like a Beast"

WildEnv is a CLI tool designed to manage environment variables for Node.js developers.
It helps in creating, checking, packing, and restoring .env files efficiently.
WildEnv ensures security by handling gitignore, encryption support, and creating backups.
It supports multiple languages, has a Node.js tech stack, and full test coverage.

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Dzone

162

Image Credit: Dzone

Chat With Your Knowledge Base: A Hands-On Java and LangChain4j Guide

Retrieval-augmented generation (RAG) enhances LLMs by providing relevant information from specific knowledge sources before generating responses.
The article serves as a Java guide for creating an application to interact with a custom knowledge base using LangChain4j.
RAG involves retrieving relevant knowledge, augmenting the query, and then generating informed responses.
LangChain4j simplifies LLM integration in Java, handling tasks like connecting to LLM providers and managing prompts.
The demonstration simulates a knowledge base about technical components, faults, procedures, stored in text files.
The tutorial covers setting up the project with Maven, creating knowledge base files, and ingesting data for the RAG pipeline.
The Java code processes text files, scales documents into segments, embeds them for semantic meaning, and stores them for retrieval.
Additionally, the article provides a guide for building an interactive chat interface using AiServices and LangChain4j components.
Key components include ChatLanguageModel, ContentRetriever, ChatMemory, and the AiService factory.
The final application allows users to query and receive answers based on the ingested knowledge, showcasing the RAG process.
By following the steps outlined, developers can create AI assistants that leverage domain-specific data for accurate responses.

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Logrocket

154

Image Credit: Logrocket

6 CSS animation libraries to bring your project to life in 2025

CSS animations have evolved from being handled by a few skilled CSS Wizards to now having powerful CSS animation libraries that make animation implementation easier for developers.
Popular CSS animation libraries like Animista, Animate CSS, AnimXYZ, Whirl, Moving Letters, and LDRS offer a range of animation capabilities for different project needs.
Animista is a simple on-demand CSS animations library that requires no installation and can be used with native CSS for quick animation implementation.
Animate CSS is highly customizable, works well for animation-heavy projects, and can be used with different frameworks by making minor adjustments.
AnimXYZ is a customizable CSS animation framework with direct support for React and Vue, suitable for both small and large projects.
Whirl is a library specializing in loading animations to enhance user experience, compatible with various JavaScript frameworks.
Moving Letters focuses on text animations, uses Anime JS, and is best for animating text elements in projects.
LDRS is ideal for loaders and spinner animations, offering a variety of elegant options and compatibility with React and other frameworks.
These libraries streamline the process of adding engaging microinteractions, smooth transitions, loading states, and text effects to enhance user experience and interface aesthetics.
Choosing the right CSS animation library depends on project scope, team familiarity, and specific animation needs.

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Logrocket

344

Image Credit: Logrocket

How AI is changing customer acquisition

AI tools and solutions have drastically impacted product management, including customer acquisition.
Challenges of AI in customer acquisition include disrupting SEO-based content loops and reducing search engine reliance.
AI tools like ChatGPT are gaining traction, posing competition to search engines for queries.
Google's AI overviews on search results pages have led to decreased click-through rates for SEO-driven products.
While AI may present challenges, it also brings opportunities like cheaper content creation and multi-funnel strategies.
AI enables smarter targeting, ad optimization, personalized onboarding flows, and product personalization.
Automation through chatbots and AI in the sales process can streamline and optimize customer interactions.
The shift with AI in customer acquisition is towards numerous smaller, niched-down funnels rather than relying on a single dominant channel.
Companies investing in diverse sales flows will likely be more resilient than those heavily reliant on a single acquisition channel.
Experimenting with diversification and leveraging AI capabilities can enhance customer acquisition strategies.

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Dev

344

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Cloud ERP for Humans: A 2025 Checklist Without the Corporate Jargon

Cloud-based Enterprise Resource Planning (ERP) systems in 2025 offer businesses a modern solution without overwhelming technical jargon, making operations more efficient and scalable.
Cloud ERP centralizes core business operations online, providing flexibility, cost-effectiveness, instant data access, and team collaboration advantages for businesses of all sizes.
Key drivers of cloud ERP adoption in 2025 include smart technology, seamless app integration, industry-specific setups, mobile accessibility, robust security measures, and eco-friendly practices.
Cloud ERP streamlines money management, inventory control, HR processes, and supply chain operations, enhancing organizational efficiency and decision-making.
Selecting the right cloud ERP system involves an eight-step checklist focusing on business needs assessment, scalability, integration capabilities, user-friendliness, security measures, budget planning, smooth implementation, and thorough testing.
Leading cloud ERP systems in 2025 include NetSuite, SAP S/4HANA Cloud, Microsoft Dynamics 365, Odoo, and Acumatica, each catering to different business sizes and requirements.
Real examples showcase how cloud ERP solutions like NetSuite, SAP S/4HANA, and Odoo have benefited retail, manufacturing, and small business sectors, improving efficiency and reducing costs.
Common mistakes to avoid when choosing a cloud ERP system include falling for buzzwords, neglecting integration capabilities, opting for complex systems, rushing implementation, and overlooking total costs.
The future of cloud ERP by 2030 will see widespread adoption, enhanced smart technologies, blockchain integration, and a focus on sustainability in data center operations.
Cloud ERP offers businesses a user-friendly, efficient solution to optimize operations, stay competitive, and achieve growth without the complexities of traditional systems, setting the stage for a well-organized and tech-savvy future.

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Dev

376

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ERP vs CRM vs Confusion: A Smart, Sassy Guide to Cloud Business Tools

In the world of business software, understanding ERP and CRM is crucial for success in 2025.
ERP acts as an orchestra conductor, integrating core processes like finance and HR on a single cloud platform.
Key features of cloud ERP include data integration, real-time dashboards, automation, scalability, and AI-driven analytics.
ERP optimizes operations, cuts costs, and enhances decision-making through tools like SAP S/4HANA Cloud and Acumatica.
CRM focuses on customer relationship management, using AI to personalize interactions and drive sales in 2025.
Cloud CRM features include contact management, sales pipeline tracking, marketing automation, customer service tools, and AI insights.
CRM boosts revenue and loyalty through platforms like Salesforce and HubSpot, leveraging AI for growth strategies.
Choosing between ERP and CRM depends on specific business needs, with examples ranging from manufacturing to retail startups.
Integration is key, with modern trends emphasizing AI, mobile accessibility, sustainability, industry-specific solutions, and seamless data flow.
Selecting the right ERP or CRM involves defining needs, prioritizing integration, demanding modern features, testing usability, ensuring security, budgeting smartly, and planning implementation.
Avoid pitfalls like buying based on hype, neglecting user experience, skipping integration, rushing rollout, and neglecting security in ERP and CRM adoption.

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Dev

316

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🔍 Notellect: How This AI Assistant Saves Hours on Data Analysis

Notellect is an AI-powered coding assistant designed for data analysts, scientists, and Python users, aiming to streamline data projects and save time.
A user tested Notellect on a sales data analysis project with over 15,000 rows, and the AI assistant significantly reduced the time taken for data cleaning and preparation.
Notellect offers features like smart code generation, auto-generated documentation, and instant visual insights, saving roughly 90 minutes and reducing cognitive load.
Notellect is purpose-built for data work, understands common Python libraries, provides context-aware suggestions, and offers explanations alongside generated code.

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Dev

391

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Spreadsheets Are Dead: Your 2025 Guide to Cloud ERP & CRM That Actually Works

In 2025, spreadsheets are considered outdated and inadequate for modern business operations, with cloud-based ERP and CRM systems emerging as essential tools.
Spreadsheets are criticized for their lack of integration, error-prone manual data entry, scalability issues, lack of real-time data, and security vulnerabilities.
Cloud ERP and CRM systems offer seamless integration, automation, scalability, real-time insights, and robust security measures that surpass spreadsheet capabilities.
Trends shaping the cloud ERP and CRM landscape in 2025 include AI and machine learning, industry-specific solutions, mobile accessibility, sustainability, and enhanced user experience.
Choosing the right cloud ERP or CRM system involves defining needs, assessing scalability, prioritizing integration, ensuring security, evaluating costs, testing, and planning implementation.
Real-world case studies show measurable success in various industries by transitioning to cloud ERP and CRM systems.
Pitfalls to avoid when selecting a system include overbuying features, ignoring user adoption, rushing implementation, neglecting security, and locking into contracts prematurely.
The future of cloud ERP and CRM involves the near extinction of on-premises systems by 2030, with AI driving personalized experiences and sustainability becoming a key consideration.
Businesses are encouraged to upgrade to cloud ERP and CRM systems like NetSuite, SAP S/4HANA, or Odoo to streamline operations and enhance competitiveness.
Overall, the shift from spreadsheets to cloud systems is highlighted as crucial for businesses looking to leverage integration, automation, and real-time insights for success.

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Dev

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From Chaos to Cloud: The Ultimate ERP & CRM Checklist (With Snark!)

Cloud ERP and CRM systems in 2025 offer scalability, cost savings, remote access, and auto-updates, but choosing the right system is crucial to avoid expensive mistakes.
Key trends in 2025 include AI-driven solutions, seamless integration capabilities, industry-specific offerings, user-friendly interfaces, strong security measures, and a focus on green practices.
The ultimate checklist for selecting a cloud ERP and CRM involves defining needs, setting a budget, identifying must-have features, ensuring seamless integration, vetting vendors rigorously, testing usability, planning implementation, prioritizing training, securing compliance, and considering long-term scalability.
Top players in 2025 include Salesforce, HubSpot, Zoho CRM & ERP, Oracle NetSuite, Microsoft Dynamics 365, Odoo, and Freshworks, each catering to different business needs and budgets.
Common pitfalls to avoid include falling for hype, neglecting user preferences, skimping on support, rushing implementation, and overlooking future scalability.
To finalize the selection, businesses are advised to compare vendors, run pilot tests, negotiate effectively, and ensure alignment of stakeholders across departments.
In 2025, cloud ERP and CRM solutions empower businesses to automate tasks, drive growth, and enhance customer service, transforming chaos into clarity for better scalability and efficiency.
Selecting the right cloud ERP or CRM system in 2025 requires a strategic approach to ensure a successful implementation that boosts business operations and productivity.

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Testim.io

166

Code Coverage: Why 100% Isn’t the Holy Grail

Code coverage is a metric in software engineering indicating how much of code is tested, with 100% coverage being ideal but not always necessary.
Different criteria like function coverage, statement coverage, branch coverage, condition coverage, and line coverage can be used to measure code coverage.
High code coverage can reduce risks, lead to fewer regression issues, aid in refactoring, and increase confidence in project quality.
Striving for 100% coverage may not be beneficial as it can result in lower-quality tests, excessive work, and compromised code quality.
Aiming for around 80% coverage is often considered sufficient, but the focus should be on quality tests rather than just quantity.
Using tools and reports to measure code coverage efforts, setting realistic goals, and not relying solely on code coverage for quality assessment are essential practices.
Balance coverage with other quality metrics like defect density and bug-fixing time to ensure a comprehensive evaluation of code quality.
Regularly analyzing coverage data can help identify gaps and prioritize testing efforts effectively.
Striving for a balanced approach between code coverage and test quality is crucial for sustainable software development.
Quality intelligence and a targeted test strategy can enhance the effectiveness of testing efforts and focus on areas that matter the most.
Code coverage serves as a useful metric but should not be the sole indicator of software quality; a holistic evaluation is necessary for reliable testing.

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UX Design

293

Image Credit: UX Design

Inferred art—painting a computer program

Generative AI is currently in the spotlight for its ability to create realistic images, sparking debates on AI's impact on art and artists' rights.
OpenAI's GPT-40 has led to the trend of 'Ghiblifying' images, blurring the lines between AI-generated art and human creativity.
There is a shift towards depicting what a computer is 'doing' instead of having computers generate desired images, challenging the boundaries between art and mimicry.
Exploring the relationship between art and AI through the concept of painting a computer program offers new perspectives on creativity and artistic expression.

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Dev

348

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How I Built a CSS Container Query Converter To Make my Work Easier

Traditional media queries only respond to the viewport size, creating a challenge in component-based design to make a component respond to its parent container rather than the entire screen.
Container queries respond to the size of the parent element, making them a game-changer for component-based design by enabling components to adjust based on their container size.
The CSS Container Query Converter Tool automates the conversion of traditional media queries into container queries, saving significant time and effort in manual conversion work.
Container queries not only solve design challenges but can also improve page performance by triggering recalculations for specific containers rather than the entire page, resulting in smoother animations and interactions.

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Medium

Image Credit: Medium

The Evolution of Programming Languages: From Machine Code to Modern AI

IBM played a crucial role in the development of business-oriented programming languages like COBOL and PL/I.
Xerox PARC introduced Smalltalk in the 1970s, which influenced modern languages such as Java and Python with its object-oriented principles.
Bell Labs created C and C++, which became industry standards in systems programming and embedded systems.
Market share and usage trends of programming languages are analyzed through metrics like Stack Overflow Developer Surveys and GitHub repositories.
Early languages like ALGOL had minimal presence in the commercial computing market in the 1960s.
From the 1970s to 1980s, system software development involved using assemblers to translate instructions into machine code.
Variables in programming act as containers that hold values, similar to boxes holding items.
Pointers in programming indicate the location of data rather than holding the actual data.
Conditional statements in programming allow for decision-making based on specific conditions.
Functions in programming serve as commands that execute a series of defined tasks.

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Medium

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How Retail Stores Can Improve Customer Experience with Payment Kiosks

Payment kiosks in retail improve customer experience by reducing wait times and enhancing convenience with self-checkout options.
Kiosks support various payment methods and operate 24/7, offering privacy for customers during transactions.
Integration with inventory systems provides real-time product availability, boosts trust, and enhances the shopping experience.
Kiosks simplify loyalty program processes, offer personalized promotions, and increase engagement with the brand.
Design considerations for kiosks include ease of use, accessibility features, multilingual support, and strategic placement in stores.
Regular maintenance, cybersecurity measures, and staff training are crucial for the reliability and performance of payment kiosks.
Future trends in kiosks include AI integration for personalized interactions, touchless technology for secure payments, and omnichannel capabilities.
By leveraging advanced technologies and user-centric design, payment kiosks can drive exceptional customer experiences and operational efficiency in retail.
Retailers should consider kiosks as strategic investments that enhance customer satisfaction and bridge online-offline experiences for a unified shopping journey.

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