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2025 Enterprise Predictions: DevXOps Models Formalize Dev Process

DevXOps models will shift traditional siloed developer teams towards centralized developer portals
Enterprises will demand a broader choice of integration expertise to support their digital consulting needs
APIs support the integration of applications and automation workflows necessary for a successful digital strategy
Global enterprises continue to struggle with containerized rollouts and IT skills shortage

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Medium

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The Large Language Model Course

The Large Language Model (LLM) course is a collection of topics and educational resources for people to get into LLMs.
It features two main roadmaps: one for building the best possible LLMs using the latest techniques, and another for building LLM-powered applications for production.
The course emphasizes understanding the main steps of modern LLMs, such as tokenization, attention mechanisms, and text generation.
The recommendation is to explore and find your own niche in the field, become an expert in one aspect, and continue learning and implementing ideas.

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Medium

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Seasonal and Trend Decomposition Methods for Time Series Forecasting

Time series decomposition is based on the idea that time series can be broken down into four fundamental components: trend, seasonality, cyclical patterns, and random variations.
Classical decomposition provides valuable insights, but modern techniques like the STL method offer more flexibility and robustness in handling seasonal components.
Decomposition results provide actionable insights about trend direction, trend strength, seasonal amplitude, and residual variance.
Seasonal and trend decomposition methods are essential for understanding time series data and can inform forecasting, anomaly detection, and pattern analysis.

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newsletter.pragmaticengineer.com

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The Pulse #120: What does Salesforce’s software engineering hiring freeze mean?

Salesforce has imposed a hiring freeze on its software engineering department.
GitHub outage of one hour per quarter is considered within 99.9% reliability.
Cloudflare had 6x more applicants for open positions in 2024 compared to 2021.
Big Tech, startups, and academia have taken a lead in software engineering breakthroughs since the 1990s.

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Dev

103

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Validation, Authentication and Authorization

This article discusses validation, authentication, and authorization in building a CRUD API with express.
The importance of validating user data and the potential security risks of not doing so are highlighted.
Authentication involves verifying a user's identity, usually by checking their credentials.
Authorization involves determining what actions a user can and cannot perform on a platform, often determined by their level of access or permissions.
The author provides validation rules for name, amount, and date, as well as functions to implement them.
For authentication, the article shows how to create and log in users with email and password credentials, and generate authorization tokens.
To protect endpoints, the article demonstrates how to decode and verify a user's auth token and filter data based on their userId.
The article concludes by cautioning not to save raw passwords and mentions further topics to explore.

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Medium

112

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MOMOSOL: A New Era of Privacy and Free Expression in the Meme Coin World

MOMOSOL is a meme coin inspired by the Momo alias that has gained popularity across various social platforms.
Unlike many other meme coins, MOMOSOL is focused on creating a meaningful space for individuals to express themselves freely and without fear of harassment or discrimination.
MOMOSOL offers an antidote to growing concerns over privacy as it gives individuals the opportunity to engage online without sacrificing anonymity.
MOMOSOL provides a safe space for people to engage in conversations, share their thoughts, and express their opinions freely.
The MOMOSOL community is built around the idea of creating a safe, supportive, and inclusive space where like-minded individuals can come together.
MOMOSOL is listed on BingX, a leading cryptocurrency exchange, which provides $MOMO holders with a platform to easily trade and exchange their tokens.
MOMOSOL has a strong commitment to privacy and free speech and is paving the way for a new era of digital interaction.
By getting involved in MOMOSOL, you’re investing in a vision for the future of the internet where privacy is respected, free expression is encouraged, and online communities are built on the values of tolerance and inclusion.
The MOMOSOL community is growing, and there’s never been a better time to get involved. Join MOMOSOL today and help shape the future of digital privacy and free expression.

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Javacodegeeks

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OAuth 2.0 vs. OpenID Connect: Securing Java Microservices Made Simple

OAuth 2.0 and OpenID Connect (OIDC) are widely used in securing microservices by providing secure and efficient authentication to protect sensitive data and ensure seamless user experiences. This guide breaks down OAuth 2.0 and OpenID Connect in plain terms, explains how they work, and provides examples to help you integrate them into your Java-based microservices.
OAuth 2.0 is an authorization framework that allows third-party apps to access resources on behalf of a user without sharing their credentials. In contrast, OpenID Connect is built on top of OAuth 2.0 but adds authentication capabilities. It provides access tokens and ID tokens for verifying the user’s identity.
Both protocols help secure your microservices by ensuring no password sharing, token-based access, and scalability that easily integrates with multiple microservices.
When securing your Java microservices, choosing the right identity provider can simplify the implementation of OAuth 2.0 and OIDC. Popular providers are Google, Okta, and Keycloak that offer unique ways to integrate their services with your microservices ecosystem.
OAuth 2.0 is used for API-only authentication, such as accessing third-party services like Google APIs, while OpenID Connect is used for login systems or applications that need to verify user identity alongside API access.
Java microservices developers can easily implement OAuth 2.0 and OpenID Connect protocols in their apps using tools like Spring Security libraries and java-jwt, and configure their application.yaml or application.properties.
To achieve secure, token-based communication and seamless user authentication, enterprises can use a combination of OAuth 2.0 and OIDC. They can use OAuth 2.0 for API calls between microservices to access shipment data, while OIDC can be used for authenticating customers logging into the web app.
Developers should validate tokens received from providers like Google, Okta, and Keycloak to ensure they’re not tampered with and configured in HTTPS for secure transit.
By understanding the differences between the protocols and applying them effectively, Developers can build robust, scalable, and secure microservices ecosystems.
OAuth 2.0 and OIDC are essential tools for securing modern Java microservices that enable organizations to protect sensitive data and enhance user experience by providing secure token-based access and identity verification capabilities.

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Dev

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Why Your First Game Shouldn't Be an MMORPG

Starting with an MMORPG as your first game project can lead to frustration, burnout, and disappointment.
MMORPGs are complex and involve multiple systems that require significant time and effort to develop.
Building an MMORP takes years and requires a substantial investment of time and resources.
Starting with smaller game projects allows you to learn and build skills before tackling larger projects like an MMORPG.

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Dev

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UPGRADE to Angular Material v15 with MDC

If you're planning to upgrade Angular Material from version 14 to version 15, follow these essential steps to prepare and execute the migration.
Before upgrading, make adjustments in your existing codebase to avoid breaking changes.
Upgrade Angular Material to version 15 by running the appropriate command.
Migrate to MDC-based components in Angular Material v15 to adhere strictly to Material Design specifications.

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Dev

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Optimizing Performance in Cloud-Native Applications with .NET Core 8 and Azure

Optimizing performance is a necessity for cloud-native applications built using .NET Core 8 and Azure.
Poorly performing applications may lead to higher operational costs and user dissatisfaction.
Best practices in .NET Core 8 and Azure can address these challenges effectively.
Cloud-native applications use distributed architectures and require a multi-faceted approach to optimize performance.
Efficient asynchronous programming and caching frequently accessed data can improve API performance.
Using Entity Framework Core and proper query optimizations can optimize database interactions.
Leveraging Azure Functions for background processing and Azure Front Door for static content delivery can boost performance.
Monitoring performance with Azure Application Insights and implementing load testing and auto-scaling rules are essential strategies.
Optimizing performance is an iterative process that evolves as an application scales.
With .NET Core 8 and Azure, developers can build cloud-native applications that deliver exceptional performance.

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VentureBeat

334

The path forward for gen AI-powered code development in 2025

A dozen or more generative AI coding tools and services are now available from vendors big and small, and these tools have the potential to revolutionize application development. An early pioneer in the space is GitHub Copilot, which already generates 30-50% of code in certain workflows and helps automate repetitive tasks, and the newer Replit makes coding up to 40% faster for professional engineers. However, AI-powered coding tools have limitations for complex projects and large legacy codebases that the technology cannot yet handle. The iterations of a feedback loop that keeps developers in control are key, as well as the ability for AI tooling to integrate seamlessly into existing workflows to ensure it succeeds at scale. By 2025, specialized agentic agents will exist that excel at specific tasks, and eventually agents will collaborate to create complex software.
Gen AI-powered code development can enable non-engineers to turn into junior engineers, democratizing development and improving professional developers’ efficiency.
While GitHub Copilot is an early pioneer in the space, Replit is the hottest vendor in the space and has developed an AI-agent approach to accelerate software development. However, AI-powered coding tools have limitations for complex projects and large legacy codebases that the technology cannot yet handle.
Automated AI tools can now create basic websites faster and personalize it more than traditional website builders can, but for complex enterprise software, AI isn’t yet capable of full end-to-end automation.
One of the core challenges in enterprise software is its complexity, which pure large language model (LLM) capabilities can’t handle.
To address the complexity of enterprise software, Qodo is focusing on understanding complex code, indexing it, categorizing it and understanding organizational best practices to generate meaningful tests and code review.
Gen AI-powered coding tools have the potential to revolutionize application development, but it has limitations for complex projects and large legacy codebases.
The real evolution of gen AI-powered coding workflows will be towards specialized agentic workflows, where specialized agents excel at specific tasks and align with an iterative feedback loop that keeps developers in control.
In a world where gen AI-powered coding will become increasingly mainstream in 2025 and beyond, platform integration will be the key to its success at scale.
Throughout 2025, AI tools will continue to assist developers throughout the software lifecycle beyond writing code, including building, deploying, testing, maintaining, and fixing software. AI agents will augment developers to make things faster and more efficient.

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Medium

375

Digimon: Revolutionizing Gaming with Open-Source AI Integration

Digimon is an AI-driven open-source gaming platform designed to offer immersive and dynamic gameplay experiences.
Its advanced AI capabilities support the development of AI-native games with adaptive and interactive NPCs.
The platform is not just focused on creating smarter NPCs, it's designed to support various game genres like open-world, simulation and RPGs.
Digimon is open-source, which means developers can customize the engine to suit their needs and contribute to its growth.
The future of gaming is one where AI-powered gaming takes center stage.
The platform could find application beyond gaming, creating training programs, and interactive experiences across various industries.
Digimon's community-driven movement is creating a space where innovation can thrive.
The platform is already attracting attention from developers and players who are eager to explore its AI-driven capabilities.
Digimon is set to change the way we think about gaming and is worth keeping an eye on.
It is poised to become a major player in the gaming industry, providing innovative AI-driven games and experiences.

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Prodevelopertutorial

167

Arrays: Move all the negative number in beginning

Given an unsorted array with positive and negative elements, move all the elements to the beginning of the array.
The first method to solve this problem is by sorting the array.
The second method is by using the partition process of quick sort.
Both methods provide the expected output, but the time complexity differs.

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Dev

194

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How to Turn Your Open-Source Python Projects into a Money-Making Machine

Monetizing open-source Python projects is viable with these 7 strategies: The Freemium Model, SaaS, Consulting and Customization, Support and Maintenance, Courses and Workshops, Crowdfunding and Donations, and Licensing. Offering a basic version of your project for free and then charging for premium features is an efficient model. SaaS is perfect if your project has broad appeal and can be used regularly. Consulting and customization is ideal for companies wanting to use your project but need some personalized tweaks. Support and maintenance contracts offer peace of mind. Courses and workshops also offer a great way of monetizing your expertise. Crowdfunding and donations can be a viable way to sustain your project. Dual licensing your project can offer both open-source and commercial elements. Open-source doesn't preclude earning a sustainable income. Test the waters and grow from there.
The Freemium model is offering a solid, basic version of your Python project for free, and then charging for the extras. Identify premium features like more features, better performance, integrations with other tools — these can all be part of a paid upgrade. Consulting, customization and support and maintenance, and courses and workshops offer services ideal for monetizing expertise. Crowdfunding and donations are a viable way to sustain your project. Dual licensing your project can offer both open-source and commercial elements. Offering a basic version of your project for free and then charging for premium features remains an efficient revenue model.
Software as a Service (SaaS) is ideal if your project has broad appeal and can be used regularly. Steps to starting a SaaS venture include building a user-friendly interface and choosing a hosting platform. Monetize with subscriptions, offered at different levels of access and support. Consulting and customization offers personalized tweaks to companies wanting to use your project. Support and maintenance contracts offer peace of mind in terms of regular updates, bug fixes, and security patches. Courses and workshops offer a great way of monetizing your expertise.
Offering personalized consulting services for companies wanting to use your open-source Python projects is a viable way of monetizing your expertise. Offering support and maintenance contracts offers peace of mind and reliability to clients. Courses and workshops offer a great way of monetizing your expertise by teaching practical, hands-on learning. Crowdfunding and donations can be a viable way to sustain your project. Dual licensing your project can offer both open-source and commercial elements.
Support and maintenance contracts for open-source Python projects ensure reliability for businesses, which are often willing to pay just for peace of mind. Courses and workshops can monetize one's expertise. Crowdfunding and donations are a viable way to sustain one's project. Dual licensing one's project can offer both open-source and commercial elements. Building a user-friendly interface and choosing a hosting platform are crucial to launching a Software as a Service (SaaS) venture.
Open-source Python projects can earn a sustainable income with the help of these 7 strategies. Don't be afraid to test the waters. Identifying premium features and offering them in paid upgrades is an efficient revenue model. Dual licensing your project can offer both open-source and commercial elements. Crowdfunding and donations are a viable way to sustain your project.
By monetizing your open-source Python projects, you can both make a difference and earn a sustainable income. With the right approach, monetization is possible: Freemium, consulting and customization, support and maintenance, SaaS, crowdfunding and donations, courses and workshops, and licensing.
Dual licensing your project can offer both open-source and commercial elements. This coupled with 6 other monetization strategies can help monetize your open-source Python projects. SaaS is an ideal option while offering support and maintenance contracts can be lucrative. Courses and workshops are a great way of monetizing your expertise while crowdfunding and donations could help sustain your project.
Open-source Python projects can earn a sustainable income with the help of these 7 strategies (The Freemium Model, SaaS, Consulting and Customization, Support, and Maintenance, Courses and Workshops, Crowdfunding, and Donations, and Licensing). Courses and workshops offer a great way of monetizing your expertise. Consulting and customization, support and maintenance, and crowdfunding and donations can also offer viable revenue streams. Dual licensing your project can offer both open-source and commercial elements.
By monetizing your open-source Python projects, you can both make a difference and earn a sustainable income. Open-source and commercial models can co-exist with these 7 strategies: Freemium, SaaS, Consulting and Customization, Support and Maintenance, Courses and Workshops, Crowdfunding, and Donations, and Licensing.
Monetizing open-source Python projects can be challenging, but 7 strategies can help: The Freemium Model, SaaS, Consulting and Customization, Support, and Maintenance, Courses, and Workshops, Crowdfunding and Donations, and Licensing. Offering premium features for paid upgrades can be an efficient revenue model. Consulting and customization, support and maintenance, and crowdfunding and donations can offer viable revenue streams. Dual licensing your project can offer both open-source and commercial elements.

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Prodevelopertutorial

Arrays: Find the k’th smallest/largest element in an array

The task is to find the kth smallest/largest element in an array.
This can be done through different methods which are discussed in detail below.
Method 1: By Sorting
This method is straight forward and can be used by shorting array and returning the kth smallest element.
Method 2: By using MAX heap
In this method, max heap of K elements is constructed and the next remaining elements from the array are checked. If the element is smaller than the root, it is made as root and heapify method is called. Finally, the root element of Max Heap is the kth smallest element.
Method 3: By using MIN heap
In this method, min heap is constructed and then the root element is removed k times to get the kth smallest element.
Each method has its time complexity which varies from O(nlogn) to O(k+(n-k)logk).

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