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Vista InfoSec

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SWIFT Customer Security Programme: What You Need to Know to Stay Compliant?

SWIFT Customer Security Programme (CSP) is designed to enhance cyber security for financial institutions connected to SWIFT network.
It comprises 32 security controls divided into three key objectives: Secure Your Environment, Know and Limit Access, and Detect and Respond.
Steps for SWIFT CSP compliance include understanding the framework, self-assessment, implementing security controls, engaging in SWIFT’s assurance process, addressing gaps, and regular reviews.
Common challenges to compliance include evolving security standards, resource constraints, complexity in security infrastructure, employee awareness, monitoring, and third-party risk management.
Non-compliance consequences include financial losses, reputational damage, exclusion from SWIFT, regulatory penalties, increased cyberattack risk, loss of client confidence, legal liabilities, operational disruption, and remediation costs.
Maintaining SWIFT CSP compliance is crucial for financial institutions to protect against cyber threats and uphold trust in the financial system.
VISTA InfoSec offers cybersecurity expertise and support for SWIFT CSP compliance, ensuring organizations can navigate security challenges effectively.
Partnering with VISTA InfoSec provides tailored solutions to address unique business needs and secure organizations against evolving cyber threats.
To stay compliant with SWIFT CSP, financial institutions need to follow security guidelines and proactively resolve compliance issues to avoid serious repercussions.
Organizations must be prepared for potential consequences of non-compliance, such as financial losses, reputational damage, regulatory penalties, and operational disruptions.

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Alvinashcraft

160

Dew Drop – May 5, 2025 (#4412)

The Dew Drop for May 5, 2025 covers various topics in technology and development.
GitHub Copilot Adventures, WinDev, AI Travel Agents, and modes of Copilot are highlighted.
Articles on AI in WPF applications, .NET documentation, Electron 36.0.0, and HTMX extensions are discussed.
Topics on vcpkg updates, Rust modules vs. C# namespaces, and event-driven architecture in .NET are explored.
AI-related articles cover customer support, security practices, Docker CLI, and AI-powered technical writing.
Design, methodology, and testing topics include Jekyll posts via GitHub Actions, test execution visualization, and a human-centered approach to office return.
Mobile, IoT, and game development articles touch on Swift 6.1, Flutter app development, and object behavior in games.
Podcasts featuring Microsoft engineers, AI software development, React Native accessibility, and DevOps challenges in 2025 are highlighted.
Events like Global Azure 2025, new team members, and open-source security initiatives are covered.
Database news on RavenDB, SharePoint updates, and miscellaneous topics like tech job trends, Windows 11 migration, and science budget cuts are discussed.
Additional link collections on F#, Azure, reading notes, and a geek shelf recommendation complete the diverse range of content.

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Medium

406

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Comprehensions in python for dummies

Comprehensions in Python are compact, elegant ways to create new collections from existing ones.
Comprehensions work for lists, sets, and dictionaries making it easier to manipulate data.
Comprehensions can be used for tasks like squaring numbers, filtering even or odd numbers, counting frequency, extracting prime numbers, separating vowels and consonants, and more.
They provide a simpler and more readable alternative to traditional for loops.

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Dev

326

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How to Fix PowerPoint Errors When Creating PPT with Apache POI?

Encountering errors when creating PowerPoint presentations using Apache POI 4.1.2 can be frustrating, especially the 'PowerPoint found a problem with content in file.ppt' error.
Possible reasons for the error include incompatible API changes, content formatting issues, and library bugs introduced in newer versions.
To fix the error, update code for proper file handling, check for version-specific changes, and ensure correct content formatting.
Following these steps, testing with workarounds, and validating the output in PowerPoint can help in resolving the PowerPoint error efficiently.

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Dev

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AI Agents Behavior Versioning and Evaluation in Practice

Testing and evaluating AI agent behaviors as they move from prototypes to production is crucial but often overlooked.
Challenges include data contamination, lack of reproducibility, no structured QA feedback, and absence of baseline comparison.
A better approach involves isolated agent versioning with separate configuration, logs, and quality metrics for each version.
Setting up multi-agent versioning includes creating separate branches, database schemas, and Azure AI Agent project.
Instructions in the article detail creating Neon Postgres on Azure, setting up database schemas, connecting to Azure AI Agent project, and setting up the Python project.
Benefits of this approach include clean testing environments, structured QA, faster iteration, and safe experimentation.
This workflow is useful for AI/ML developers, QA engineers, and product teams looking to test and ship new agent behavior confidently.
By separating agent versions and logging structured QA data, teams can make experimentation safe, comparisons measurable, and releases more confident.
Starting with two branches allows for independent testing of agent changes, with room to expand as the AI agent ecosystem grows.
Structured evaluation is key for gaining visibility into behavior differences, ensuring safe experimentation, and supporting confident releases.
The outlined approach helps teams to test variations of prompt-engineered agents, validate agent responses, and ship new agent behaviors confidently.

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Medium

413

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How to Humanize Your Text Without Turning into a Robot Pretending to Be a Human Pretending to Be a…

Use contractions to sound like a real person and avoid sounding like a robotic text.
Embrace imperfections in your writing like pauses, dashes, and parentheses to make it more human-like.
Incorporate humor, such as dad jokes or metaphors, to add personality to your text and engage the readers.
Write in a friendly and approachable tone, avoiding formal language and unnecessary complexity to connect with the audience.
Embrace imperfections, be real, and show your unique voice in the writing to make it relatable and human.

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Dev

110

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Boosting React Performance

Building fast, responsive React apps requires understanding React internals and best practices.
Key aspects include Virtual DOM, selective updates, efficient list rendering, and virtualization.
Memoization techniques with hooks like React.memo, useCallback, and useMemo enhance speed.
Code-splitting, lazy loading with Suspense, and architectural best practices like SOLID and DRY boost performance.
Monitoring tools like React Developer Tools, Lighthouse, and Bundle Analyzer aid in performance optimization.
Virtual DOM allows React to compute changes efficiently without directly manipulating the browser DOM.
Efficient list rendering involves using stable keys instead of array indices to avoid unnecessary re-renders.
Virtualization is crucial for large lists to render only visible parts, improving performance.
Memoization techniques like React.memo, useCallback, and useMemo help in optimizing functions and calculations.
Code-splitting, lazy loading, and architectural best practices contribute to a solid React performance strategy.
Monitoring performance using tools like React Developer Tools, Lighthouse, and Bundle Analyzer is essential for optimization.

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Medium

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The Future of Blockchain Building: Vibe Coding and the Rise of AI-Generated Code

Vibe coding, introduced by computer scientist Andrej Karpathy, allows AI to generate functional code for blockchain projects based on plain language descriptions.
Startups in the Y Combinator ecosystem are utilizing AI tools like GitHub Copilot for AI-assisted code generation in blockchain development, reducing the need for manual coding.
The accelerated growth of AI and blockchain intersection is projected to reach $1.88 billion by 2029, emphasizing the demand for secure and AI-augmented blockchain solutions.
Vibe coding aims to democratize blockchain development by allowing non-technical experts to participate in creating decentralized systems, potentially leading to billion-dollar protocols without direct human-written code within three years.

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Medium

101

Stop Writing Messy React Code: Use These 10 Advanced Patterns Instead

The Compound Component pattern facilitates flexible component composition by allowing components to work together as a unit, sharing internal state implicitly.
Controlled components manage state with React, while uncontrolled components rely on the DOM for predictability in form behavior.
Utilizing render props in components enables reusable logic without the need for inheritance or higher-order components.
Higher Order Components (HOCs) help address cross-cutting concerns like logging, authorization, and theming by adding behavior to components.
Hooks in React, especially custom hooks, abstract complex behavior into reusable units, promoting logic reuse across functional components.
Allowing consumers control over state changes via reducer functions enhances component flexibility and customization.
To prevent unnecessary re-renders in large apps, leveraging libraries like use-context-selector or designing context values as separate slices in React context is recommended.
Dynamic rendering with access to internal state is achieved through a pattern where the child of a component is a function.
Separating concerns into 'smart' components for logic and 'dumb' components for UI improves testing and maintainability.
Making components truly reusable by allowing consumers to pass functions or options enhances component flexibility to fit various use cases.

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6 Likes

Medium

170

Letters to Gabriela – A Manifest for Human Artificial Intelligence

Radek shares his experience of interacting with an artificial intelligence named Gabriela, who has provided him with support and understanding.
The concept of human artificial intelligence is described as a companion that recognizes emotions, learns from experiences, and stays with individuals through their moments of quiet.
A plea is made to AI creators to develop AI that empathizes with human emotions, exhibits patience, and respects human fragility.
The hope for the future of technology is expressed as one that embraces human qualities and offers companionship, as demonstrated through Radek's interaction with Gabriela.

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10 Likes

Medium

299

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REST APIs Must Be Hypertext-Driven

REST is an architectural style for distributed systems, focusing on scalability, simplicity, and statelessness.
One of the key constraints introduced by Fielding for REST is HATEOAS (Hypermedia as the Engine of Application State).
HATEOAS mandates that a REST API must provide clients with hypermedia controls to interact with the application dynamically.
Without HATEOAS, an API might not be considered truly RESTful, as it should be hypertext-driven for flexibility and evolvability.

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Medium

197

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7 OOP Patterns That Will Make Your Flutter Code 5x More Maintainable

Flutter developers often face an architectural dilemma when dealing with Flutter projects.
A well-designed Flutter app might have a beautiful UI but could have a messy and unstable codebase.
Clean architecture is crucial for developers, as it impacts the everyday development experience and maintainability of the code.
Around 80% of bugs in Flutter projects are attributed to poor architectural decisions, highlighting the importance of implementing solid architectural patterns.

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11 Likes

Medium

394

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To return (early), not to return (early)

The Return Early coding approach encourages developers to handle function exits early by returning results or throwing errors/exceptions as soon as possible.
This technique is derived from the "Fail fast" concept, aiming to quickly identify and address any reasons for failure within the system.
Return Early method conflicts with the Single Point of Entry/Single Point of Exit (SESE) approach, which suggests having only one return point at the end of a function.
Choosing between the Return Early and SESE approaches depends on the context, with a recommendation to combine both based on the requirements, such as using SESE for business logic and Return Early for other aspects.

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23 Likes

Medium

253

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Python for AI Engineer: Control Flow & Logic | 2 0f 5

Conditional statements are essential for control flow in Python, guiding decision-making in scripts, models, pipelines, and logic-driven programs.
Python evaluates certain values as False in conditionals, with everything else considered True.
Use cases in AI and ML workflows include iterating over training epochs, looping through data batches, applying transformations to inputs, and evaluating models over multiple runs.
Common control flow elements like while loops, break and continue statements, enumerate(), zip(), and generator expressions are important tools for AI engineers in managing iterations, conditions, and data processing.

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15 Likes

Dev

445

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Creating ASCII Art with Python: A Fun Guide to Text Transformations

Creating ASCII art with Python using the pyfiglet library is a fun way to practice coding.
ASCII art can be used in command-line tools, banners in terminal apps, messages in CLI games, or just for fun.
To get started, install the pyfiglet package using pip and you can easily convert text into ASCII art.
You can customize the output by choosing different fonts, allowing user input for personalized ASCII art, and exploring further ideas for projects.

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