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Creating Thumbnail Images in Swift using UIKit

Creating thumbnail images is a great way to improve performance in iOS apps—especially when working with UITableView or UICollectionView.
Benefits of using thumbnail images include better performance, improved user experience by keeping the UI smooth and responsive, and reduced app size and bandwidth.
A simple function in Swift using UIKit can create a thumbnail from a UIImage while maintaining the aspect ratio and compressing the result.
The provided code snippet demonstrates how to create thumbnail images efficiently in Swift using UIKit, ensuring optimized display and utilization of images in iOS apps.

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Dev

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RBAC vs ABAC: Picking Your Access Control Fighter

RBAC (Role-Based Access Control) and ABAC (Attribute-Based Access Control) are two different access control strategies that organizations can choose from.
RBAC assigns permissions to roles and users gain access through these assigned roles, ideal for simpler and fixed organizational structures.
ABAC determines access based on evaluating multiple attributes such as user details, resource being accessed, action being taken, and environmental factors.
Choosing between RBAC and ABAC depends on the complexity of access requirements and organizational structure, with hybrid models increasingly being used for best results.

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Dev

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Prompting a Classic Snake Game using Amazon Q

A developer recreated the classic Snake game using Amazon Q CLI, Amazon's AI-powered coding assistant.
Amazon Q CLI is an AI coding assistant that helps build applications through natural language conversations.
The developer's journey included starting with basic prompts to create the game and refining it through conversation.
Key features implemented in the Snake game include smooth movement, food system, score tracking, game over screen, and more.

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Dev

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Your model isn’t lying. It’s just silently learning from data you haven’t fully understood.

The article highlights the importance of data quality in machine learning models, emphasizing that most failures stem from data issues rather than architectural flaws.
The author discusses common data misalignment problems like incorrect annotations, class imbalances, and bounding box errors that often go unnoticed but severely impact model performance.
The Yololint tool is introduced as a solution to help ML practitioners critically evaluate their datasets before training, by checking directory structures, annotation consistency, class frequencies, bounding box validity, and more.
Yololint aims to make invisible data quality issues visible to prevent them from compromising the accuracy and reliability of machine learning models.

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Medium

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My Journey into Linux: Why Every IT Student Should Try It

The author shares their journey from using Windows to trying Linux as an IT student.
They started with Ubuntu, a beginner-friendly Linux distribution, and found it to be a refreshing learning experience.
Using Linux helped them gain a deeper understanding of computing concepts and command line operations.
The author encourages IT students to explore Linux as it can enhance problem-solving skills and provide a sense of control and confidence.

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Medium

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Why Learning to Code in 2025 Feels Like Cheating

The new generation of self-proclaimed developers rely heavily on AI tools like Cursor, Copilot, and ChatGPT for coding, rather than developing true computer science skills.
AI is being used as a crutch rather than a power tool, as these developers struggle with basic tasks like debugging without external assistance.
The emphasis is on learning how to structure and plan code, solving actual problems, rather than just relying on AI to assemble code snippets.
Ultimately, the decision lies in whether these developers will choose to depend solely on AI or build their coding skills to succeed when faced with real challenges.

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Medium

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API FOR PRODUCT MANAGERS: Testing

Quality Assurance (QA) team plays a crucial role in testing APIs to ensure smooth functionality and prevent issues before users encounter them.
Manual testing involves team members making requests to the API, clicking through flows, and inspecting responses, which is detailed but time-consuming.
Automated API testing, using tools like Postman, JMeter, RestAssured, or SoapUI, helps in writing scripts to ensure consistency and scalability while saving time.
Understanding API testing processes as a Product Manager is beneficial for better collaboration with QA, developers, and users, even if you don't perform the tests yourself.

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Logrocket

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7 design feedback questions to retire — and what to ask instead

Design feedback plays a crucial role in the continuous improvement of product designs through iterative cycles in UI/UX design.
Asking specific and contextful questions during design feedback sessions is essential for driving the design in the right direction.
Good feedback questions should be clear, concise, contextful, flexible, and valuable to ensure effective feedback gathering.
Avoid vague, broad questions in design feedback sessions and opt for specific, contextful ones to elicit more actionable responses.
Steer clear of too-specific questions and instead ask flexible ones to encourage valuable feedback without adding unnecessary constraints.
Open-ended but specific questions are preferred over leading questions to gather both positive and negative feedback points effectively.
Utilize rating scales, multiple-choice, or specific answers instead of binary questions for more detailed and nuanced feedback.
Breaking down complex questions into distinct ones can help eliminate ambiguity and improve clarity in feedback sessions.
Simplify questions by avoiding complex technical language to facilitate better communication and understanding during feedback sessions.
Focus on asking about the user experience rather than abilities or feelings to gather relevant feedback during design sessions.

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Dev

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Project of the Week: Ghost 👻

Ghost is a modern open-source publishing platform designed for creators, journalists, and businesses, with over 49,000 GitHub stars.
The project emphasizes providing beautiful, fast, and professional publishing tools for creating websites, newsletters, and subscription businesses.
Research on Ghost's collaboration patterns revealed rapid review turnaround, lightning-fast merge times, moderate review coverage, and a strong core team presence.
Ghost demonstrates exceptional responsiveness in code review processes, with a median review time of 3 minutes and 22 seconds.

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Javacodegeeks

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Spring Security – Integrate Passkeys Example

Passkeys are a passwordless authentication method based on public-key cryptography, resistant to various attacks.
They are built on WebAuthn and FIDO2 standards, supported by major ecosystems like iOS, Android, Chrome, and Windows.
Passkeys offer convenience and security by syncing across devices through cloud providers.
To integrate passkeys in Spring Boot, WebAuthn4J library is used for WebAuthn/FIDO2 support.
Dependencies for WebAuthn support in Spring Boot applications involve the webauthn-spring-security library.
Configuration files and classes like Security Config, Entity File, Repository File, Register Controller, and Authentication Controller manage passkey integration.
The Register Controller handles user registration using WebAuthn data and stores public key and metadata in the database.
The Authentication Controller verifies login attempts, updates signature count, and responds based on validation results.
Secure authentication using passkeys in Spring Security enhances user experience and system security.
Integration of passkeys with WebAuthn4J in Spring Security ensures a future-ready approach to secure authentication.

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Dev

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LeetCode — 2824. Count Pairs Whose Sum is Less than Target

The problem involves counting pairs in an integer array where the sum is less than a target.
A simple solution involves iterating through the array twice and checking the sum against the target.
The provided Java code snippet implements this logic efficiently.
The code has a fast runtime and low memory usage according to online submissions.

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Dev

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Monetization Strategies for AI Technologies

Artificial Intelligence (AI) is reshaping industries globally, prompting businesses to focus on effective monetization strategies.
Target audience understanding is crucial, including tech companies, end-users, investors, and regulatory bodies, to tailor services and messaging.
AI technologies offer value propositions like increased efficiency, enhanced decision-making, and personalized user experiences.
Monetization streams can include licensing, subscription models, consulting services, freemium models, data monetization, partnerships, education programs, and government grants.
Implementation priorities involve market research, building MVPs, developing go-to-market strategies, and continuous user feedback.
Success metrics include CAC, retention rate, MRR, and NPS, guiding ongoing strategy adjustments for growth.
Ethical deployment practices emphasize transparency, bias mitigation, and user engagement to address data privacy and algorithmic bias concerns.
The article concludes by highlighting the complexity and opportunities in AI monetization, urging businesses to blend financial gains with responsible AI development.
Strategizing and implementing a comprehensive monetization plan is crucial for organizations aiming to leverage AI's transformative potential while upholding ethical standards.
By combining market insights, revenue diversification, and ethical practices, companies can unlock AI's full potential and build trust with users.

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Dev

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🧭 [DEVLOG] Building a No-Mercy Steampunk Mini-Game in Unity

Working on the third mini-game in the Clockwork Conquest universe, themed around the Northern faction known for discipline and brutality.
Key design rule: No ties, only win or lose; PvP not allowed due to the North's culture.
Tech stack includes Unity (2D), custom pressure mechanic UI, basic timer system, and temporary assets.
Focus on raw implementation early on, with structure building and cleanup to follow. Upcoming projects include mini-game for the West and a larger narrative-driven game.

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Dev

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OneEntry and KMM: a unified platform for mobile development with Swift and Kotlin

The OneEntry platform, in conjunction with Kotlin Multiplatform Mobile (KMM), enables the development of reliable and scalable mobile applications for iOS and Android simultaneously.
KMM allows for the sharing of business logic between Android and iOS platforms, reducing code duplication, simplifying maintenance, and enhancing application consistency.
The OneEntry platform's SDK, integrated with KMM, offers secure access to core system features, streamlining the development process for both Kotlin and Swift projects.
OneEntry facilitates application scaling through load balancing, data and request caching, and database optimization for improved performance and user experience.
Integrating KMM with Swift applications involves creating a Kotlin/Native module, initializing the SDK in Kotlin, and utilizing the Swift-Kotlin Interop Engine (SKIE) for seamless cross-platform integration.
It is recommended for Kotlin developers to use Kotlin Coroutines and Serialization for asynchronous operations and JSON processing, enhancing code readability and compatibility in cross-platform projects.
The OneEntry platform emphasizes security with multi-layered measures such as authorization using access tokens, mTLS certificates for mutual authentication, and protection against unauthorized API requests.
Common issues when integrating KMM with Swift applications include data type compatibility and asynchronous execution problems, which can be mitigated by following consistent type definitions and proper error handling.
By leveraging OneEntry with KMM, mobile development teams can achieve rapid development, unified architecture, and stable cross-platform business logic, leading to reduced maintenance costs and improved product quality.
The combination of OneEntry and KMM provides a robust foundation for scalable and efficient mobile solution delivery, catering to teams focused on growth, scalability, and quick time-to-market.

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Massivelyop

Here’s how Pantheon Rise of the Fallen’s updated player testing system will work going forward

Pantheon: Rise of the Fallen is implementing changes to its player testing system.
The new testing system will focus on two types - focus testing and organic testing.
Former 'advanced testers' will now be 'focus testers' with a larger pool and better coordination.
The goal is to avoid burnout among focus testers and improve the management of testing challenges.

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