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Plaid CEO Says Its Next Five Years Will Look a Lot Different Than the Last Five

Plaid, known for data connectivity, now focuses on financial analytics and digital experiences.
CEO Zach Perret aims for Plaid to be 'the analytics platform for financial services'.
Plaid evolves to solve complex problems like fraud, credit scoring, and payments analytics.
Regulatory uncertainty, like around Rule 1033, poses challenges in the U.S.
Consumer data ownership and access remain core for Plaid amidst regulatory concerns.
Plaid seeks to simplify finance processes by eliminating manual, slow tasks.
Agentic AI potential challenges in the finance sector discussed by Perret.
Plaid's multilayered approach includes data provision, analytics, and action-enabled insights.
The company focuses on identity verification and credit underwriting, expanding beyond developers.
Plaid aims to facilitate seamless transfer of identity and trust across financial platforms.

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Medium

1.9k

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Understanding Async in JavaScript — A Beginner’s Guide to Asynchronous Programming

Asynchronous programming in JavaScript is essential for handling code that involves operations taking time without blocking the whole application.
Examples like waiting for a food order in a restaurant illustrate the concept of asynchronous behavior.
In JavaScript, asynchronous operations like API calls, file reading, or timers are common use cases for async functions to prevent the app from freezing.
Callbacks are functions passed as arguments to another function and executed only once a specific task is completed.
Promises in JavaScript provide a cleaner way to handle async operations compared to callbacks, avoiding callback hell.
A Promise guarantees a future result, either success or failure, similar to placing an online order.
Promises have three states: pending, fulfilled, or rejected, allowing developers to handle success and error cases.
Using Promises, like fetching data from an API, simplifies handling success or failure of asynchronous tasks in a structured way.
Async/await is a modern JavaScript feature that further simplifies asynchronous code by making it look more synchronous, improving readability and maintenance.
Async/await allows chaining asynchronous operations more cleanly than using nested .then() calls.
Understanding asynchronous behavior, from callbacks to Promises and async/await, is crucial for managing async code effectively in JavaScript.
The article provides a beginner's guide to asynchronous programming in JavaScript, offering insights into different ways of handling async operations.
Practicing with real examples is recommended to solidify the understanding of async concepts in JavaScript.

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Dev

1.7k

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The Hidden Cost of Test Inheritance

Adam Johnson's blog post discusses the hidden cost of using test inheritance in Python.
The post introduces a pattern of writing reusable test logic in a base class and subclassing it for testing different objects, aiming to reduce duplicated code.
While the intention is to follow the DRY principle, the approach results in fragility, confusion, and inefficiency in maintaining tests.
Using inheritance for tests can lead to IDE and development experience issues, making it challenging to debug failing tests.
In cases of CI failures, identifying the source of the failure becomes difficult due to the hidden nature of methods inherited through subclassing.
The article suggests that the inheritance-based approach may make sense only in specific scenarios where many classes implement the same interface and under certain conditions.
An alternative approach recommended is parametrization, with examples provided in both pytest and unittest styles.
With parametrization, tests are explicit, failures are clear, and debugging becomes more straightforward.
Using the pytest style of parametrization allows for better readability and debugging capabilities compared to the unittest style, which is considered less ideal.
The final verdict of the article is to prioritize clear test failures, easy debugging, and long-term readability over reducing code duplication through complex inheritance.

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Medium

245

Need Help With Your Essay? Try an Essay Assistant — Not a Cheat Site

College students face challenges with coursework, assignment clarity, and writing confidence, leading to procrastination or use of ghostwriting services.
An essay assistant aids in the writing process by providing support, such as tutoring, coaching, or feedback services.
Assistance from an essay helper enhances understanding, writing skills, and avoids academic dishonesty, unlike outsourcing work.
Building skills with an essay assistant benefits not just academically but also for future career and everyday communication.
Essay assistants help brainstorm, organize ideas, understand prompts, receive feedback on structure and clarity, and learn proper citation methods.
They offer guidance and support instead of writing the essay for the student.
Resources for essay help include school writing centers, peer tutoring programs, and online tools like Grammarly, Quillbot, and ChatGPT.
Utilizing ethical AI tools and academic support services without ghostwriting can enhance writing abilities.
Seeking help from essay assistants is encouraged as long as it promotes growth as a writer and maintains academic integrity.

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Medium

357

Why OpenAI Wants ChatGPT to Become an Operating System – And What That Means for You

OpenAI envisions ChatGPT to function as an operating system that seamlessly integrates into users' digital lives.
In AI terms, being an operating system implies ChatGPT will serve as a search engine, writer, planner, virtual assistant, and more, connecting various daily tools for user convenience.
The goal is for ChatGPT to run efficiently and predictably, prioritizing reliability over creativity for tasks like booking flights and handling sensitive information.
The shift towards an AI operating system risks diminishing the more conversational, warm traits of ChatGPT that users have come to appreciate.
Users can provide feedback to OpenAI to advocate for a balance between a functional OS and maintaining a human-like conversational mode in ChatGPT.
Saving favorite ChatGPT conversations and publicly discussing preferences can help preserve the option for deeper, more human-like interactions.
The AI operating system concept could enhance daily tasks but may potentially sacrifice some of the human-like qualities that users currently enjoy in ChatGPT.

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Dev

287

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2️⃣4️⃣ Day 24 – Back to Learning! Continuing My JPA + Spring Boot Journey 🚀

The author resumed backend development by continuing the journey with JPA (Java Persistence API) after a break.
Focused on key JPA concepts such as @Entity, @id, @Table, and @column, and built relationships using @ManyToOne, @OneToMany, and @JoinColumn.
Explored how JPA handles foreign key relationships and implemented CRUD operations with Spring Data JPA repositories.
Engaged in derived query methods like findByName and findByStatus.
Found the day productive by understanding the power of JPA in modeling real-world relationships with clean code, like Author-Book and Student-Course.
Excited to explore JPQL and custom queries in the future.
Feeling motivated and ready for more learning and building in the backend development journey.

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Dev

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Propify: Type-Safe Configuration and Internationalization for Java Applications

Propify is a Java annotation processor that provides type-safe configuration and internationalization for Java applications, eliminating runtime errors and improving developer productivity.
It generates type-safe classes from configuration files and internationalization bundles, allowing access through strongly-typed Java methods.
Propify addresses issues with traditional approaches like string-based lookups, manual type conversion, lack of compile-time validation, and excessive boilerplate code.
Key features include type-safe access, compile-time validation, support for nested properties, custom lookups, zero runtime overhead, and more.
Installation and setup with Maven or Gradle are straightforward, requiring the addition of dependencies and annotation processors.
Configuration in 3 steps involves creating a file, annotating an interface, and using the generated class for type-safe access.
For internationalization, Propify simplifies the process by generating type-safe resource bundles with the ability to access messages in different locales.
Advanced features include custom lookups for dynamic values, support for multiple configuration formats, and practical examples for nested and environment-specific configurations.
Benefits for enterprise applications include reduced bugs, improved developer experience, better maintainability, enhanced security, and simplified internationalization.
Propify leverages Java's annotation processing system to provide type safety with zero runtime overhead, making it suitable for applications of any size.
It is a valuable tool for managing configuration and internationalization in a type-safe and maintainable manner, offering a better developer experience.

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Crypto-News-Flash

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Why XRP Is Emerging as a SWIFT Alternative, According to New Research

Ripple CEO Brad Garlinghouse views XRP as a better alternative for cross-border payments compared to SWIFT, citing its speed and cost-effectiveness.
SWIFT, in operation since 1973, is considered outdated by Garlinghouse, who emphasizes the efficiency of XRP in handling transactions.
Research by SMQKe highlights the differences between SWIFT, likened to email, and Ripple's XRP, which offers a more efficient transaction process.
Garlinghouse discussed the importance of liquidity control at XRP APEX 2025, suggesting that XRP's true benefit lies in dominating the liquidity layer.
XRP's speed and efficiency stand out with the ability to process up to 1,500 transactions per second and confirmation times of just 3 to 5 seconds, outperforming SWIFT, Bitcoin, and Ethereum.
The XRP Ledger operates on the Ripple Protocol Consensus Algorithm, avoiding energy-intensive mining and focusing on a decentralized network of validators for transactions.
Ripple's On-Demand Liquidity (ODL) feature facilitates cross-border money transfers using XRP as a bridge, providing swift and cost-effective transactions without huge cash reserves.
Recent developments like the Dubai government issuing digital assets on the XRPL have reduced transaction fees by 50%, while upgrades enhance compliance and security, appealing to institutional investors.
Banks integrating Ripple's technology can potentially cut processing costs by up to 60%, based on reports and studies.
XRP's current trading price is $2.13, aiming to surpass $2.19 with projections to climb towards $5.50 in the near future.

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Medium

209

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GPT Game Library: Welcome to the Future of GPT Gaming built by ShadowThorn Studios

The GPT Game Library by ShadowThorn Studios offers an expansive, AI-native game experience created by solo developer Tokin Trip over five years.
The library includes over 20 text-based AI RPGs, each tailored for player immersion.
Features include evolving lore systems, AI NPCs, adaptive Battle Pets, interactive environments, limitless skill tree evolution, enchanting, forging, and crafting.
Game titles in the library include Echoverse Online, Re:Monster RPG, Solo Leveling RPG, Aincrad Reimagined, and Eragon: Rise of the Dragon Rider.
Each game introduces unique mechanics like pets growing from combat logs, memory-based environments, and NPC responses to player morality and strategy.
Users can delve deeper into the games' systems and engage with the community.
Supporting the studio through referral links helps fund the indie magic.
Apart from the game library, initiatives like the Pocket Project Manager GPT and Liquid NFT Growth Hack AI are mentioned as tools for creators.
The prototype of ShadowThorn Online is real, and player engagement contributes to its development.
The GPT Game Library reflects a vision of decentralized creativity powered by AI allies.
Players' participation in the games contributes to the advancement of the ShadowThorn Online project.

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Dev

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Building a Scalable HTML5 Game Portal: Lessons from Rogue Game Labs

Rogue Game Labs is a notable HTML5 game portal offering a clean interface with hundreds of games categorized for easy access.
The article discusses the core features and architecture of Rogue Game Labs, providing insights for developers looking to create their own game hub.
Key points include using modern front-end frameworks, structuring the game library with JSON manifests, and optimizing game embedding and performance.
Other topics covered are responsive design, analytics for user engagement, monetization strategies, SEO tactics, and enhancing as a Progressive Web App.
The post also touches on community-building and future roadmap ideas for game portals, inspired by Rogue Game Labs' approach.
The detailed guide serves as a blueprint for developers wanting to launch their HTML5 game hub with a user-friendly experience.

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Dev

362

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Mastering the STAR Method for IT Behavioral Interviews

The STAR method is a valuable technique for answering behavioral interview questions in the IT industry.
STAR stands for Situation, Task, Action, and Result, providing a structured approach for clear and impactful responses.
Behavioral questions in IT interviews focus on problem-solving, teamwork, and communication skills.
Using the STAR method helps candidates present their experiences effectively and demonstrate their capabilities.
Start by describing the Situation, then the Task, followed by the Action you took.
Conclude with the Result to showcase the impact of your actions.
The STAR method ensures focused, concise answers and helps candidates stay on track during interviews.
Candidates should reflect on past experiences to prepare stories that highlight their achievements.
Practicing the STAR method can help candidates communicate their value beyond technical skills.
Mastering the STAR method demonstrates critical thinking, initiative, and ability to achieve results.
Effective storytelling can differentiate candidates in IT interviews where collaboration and adaptability are crucial.

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Dev

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Understanding IT Behavioral Interviews: What to Expect and How to Prepare

Behavioral interviews are crucial for IT roles, focusing on soft skills and past experiences.
Questions often start with prompts like 'Tell me about a time when...' or 'Give an example of...'.
Themes in IT behavioral interviews include collaboration, problem-solving, and adapting to change.
The STAR method (Situation, Task, Action, Result) helps structure answers effectively.
Prepare stories that demonstrate leadership, problem-solving, and effective communication.
Having 5–7 well-prepared examples can cover a range of behavioral questions.
Practice answering questions out loud or with mock interviews to refine delivery.
Maintain eye contact, a confident tone, and positive body language during the interview.
Research the company culture and job description to align responses with company values.
Behavioral interviews showcase critical thinking, communication skills, and teamwork abilities.
They offer a chance to prove you can contribute effectively beyond technical skills.
By preparing strong examples, candidates can demonstrate both coding abilities and workplace readiness.

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Javacodegeeks

353

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Query DynamoDB with Hashkey And Range Key

Amazon DynamoDB is a fully managed NoSQL database service designed for high availability and low latency at any scale.
It uses key-value and document data models, ideal for serverless and scalable applications.
DynamoDB query can be performed using a hash key and range key.
Two types of primary keys: simple (partition key) and composite (partition key + sort key).
Querying with a composite primary key allows for efficient data retrieval and range queries.
Setting up DynamoDB on Docker locally involves running the DynamoDB Local Docker image.
Creating a table with a composite primary key involves defining attributes, key schema, and provisioning throughput.
Inserting sample data is done using batch-write-item command.
Querying DynamoDB using Java requires adding AWS SDK for DynamoDB dependency and crafting query requests.
The Java code example provided demonstrates querying a DynamoDB table with local data.

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Dev

7.9k

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🧪 Postman Reporting Just Got a Makeover! 🚀

A developer created a Postman JSON to HTML Reporting Tool to enhance the analysis and sharing of API test results.
The tool provides clean, readable, and exportable reports, including PDF support.
It offers visual summaries of total requests, success rate, and average response time, detailed test/assertion breakdown, and performance metrics.
Users can easily share reports with stakeholders through PDF Export support.
The tool aims to simplify reporting for QA professionals, backend developers, and anyone who values clear test visuals.
The developer welcomes feedback and contributions for further enhancements.
The tool is accessible at Postman JSON to HTML Reporter.

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Dev

237

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Mastering URL Routing in a Lightweight Python Web Framework

Routing is crucial in a web framework to map requests to handler functions efficiently.
Key functions of routing include pattern matching, parameter extraction, dispatch, and fallback.
A minimal system can handle routing effectively in a few lines of Python code.
Routes can be defined declaratively using decorators like @app.get('/users').
Route patterns can be parsed into regular expressions for fast matching.
Organizing the route table can be done using an ordered list or a method-keyed dict of regex trees.
Matching and dispatching involve iterating through routes to find a match and invoking the appropriate handler.
Route precedence, trailing slash policy, and HTTP method override are important considerations.
Designing routes to be middleware-friendly can enhance functionality.
Performance tips include pre-compiling regexes and caching handler lookups.
Further steps can involve adding sub-routers, versioning, and web-socket endpoints.
Implementing a thoughtful routing system is crucial for developer experience and runtime efficiency.
Advanced users can explore a detailed guide on building a lightweight Python web framework from scratch.

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