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The Pragmatic Engineer

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Stacked diffs and tooling at Meta with Tomas Reimers

Meta built its own internal developer tooling instead of using industry-standard solutions like GitHub.
Tomas Reimers, former Meta engineer and co-founder of Graphite, discusses Meta's custom developer tools.
Phababricator, Sandcastle, and Butterflybot are some of Meta's internal tools that enhanced developer productivity.
Meta's use of stacked diffs and monorepos became best practices, influencing the industry.
Code reviews and testing are gaining importance as AI transforms software development.
Meta's custom tools aimed for seamless integration across the developer workflow and task management.
Stacked diffs involve developers creating a series of dependent changes to minimize wait times and improve review efficiency.
Meta adopted a monorepo strategy to simplify collaboration and dependency management.
AI tools are expected to increase code generation speed, emphasizing quality in code review and testing.
Engineering metrics like pull request numbers and review time are essential for team performance evaluation.

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Medium

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Mastercard is creating a blockchain network to connect TradFi and crypto

Mastercard is developing a blockchain-based multi-currency network to connect traditional financial institutions and the cryptocurrency sector.
The network aims to provide an easy-to-use user experience for digital asset transactions, similar to popular apps like Venmo or Zelle.
Mastercard's goal is to facilitate seamless fiat-to-cryptocurrency transactions for consumers, merchants, and financial institutions.
The company has already secured strategic partnerships with major players in the traditional financial industry and implemented over 100 cryptocurrency-focused card programs globally.

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Medium

436

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Strong Story Telling study for Software Engineer — Day 5

In a project at DataStream, two senior engineers, Alex and Taylor, had differing approaches in redesigning the event processing pipeline to handle increased data volumes.
Alex advocated for a batch-processing solution using Apache Spark for cost efficiency and simpler implementation, while Taylor pushed for a real-time streaming approach with Apache Kafka and Flink to minimize latency.
To resolve the disagreement, a structured decision-making workshop was organized, with a comparison framework to assess objective criteria like performance, complexity, scalability, and cost projections.
The workshop led to a hybrid approach, using Kafka for ingestion, processing time-sensitive events with Flink, and handling the majority with scheduled Spark jobs.

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Python Blogs

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Why does Amazon Prime not work with a VPN?

Amazon Prime Video does not work with a VPN due to strict policies and content licensing agreements.
VPNs route internet connections through secure servers, masking IP addresses and bypassing geographic restrictions.
Amazon invests in detecting and blocking VPN usage to comply with content distribution contracts.
Attempting to bypass VPN restrictions may result in account suspension and potential security risks.

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Silicon

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Amazon Launches Nova AI Agent To Perform Browser Actions

Amazon has launched a new AI agent called Amazon Nova.
Amazon Nova is designed to perform actions within a web browser for users.
Nova is part of Amazon's drive to deliver generative AI solutions simplifying the lives of customers.
Amazon Nova is available as a research preview and developers can experiment with the AI models.

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Javacodegeeks

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Achieving Strong Consistency in Distributed Spring Boot Applications with Redpanda

Redpanda is a modern, Kafka-compatible streaming platform designed for high performance and low latency.
Simplified architecture (single binary, no ZooKeeper dependency), Improved performance (lower latency, higher throughput), Full Kafka API compatibility (works with existing Kafka clients and tools), Strong consistency guarantees out of the box
Redpanda provides an excellent alternative to Kafka for Spring Boot applications requiring strong consistency in distributed environments.
Its simplified architecture and performance characteristics make it particularly suitable for high-throughput, low-latency systems while maintaining the familiar Kafka API that Spring developers are accustomed to.

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Javacodegeeks

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Java Naming Conventions Example

Java naming conventions are essential for writing clean, readable, and standardized code in Java applications.
Classes and interfaces should follow PascalCase for names, ensuring clarity and adherence to industry standards.
Class names should represent entities and avoid abbreviations, while interface names can be adjective-like or noun-based.
Method names should use camelCase and describe actions performed, enhancing clarity and purpose.
Variables should be named descriptively in camelCase to reflect their data, improving readability and maintainability.
Constants should be written in UPPER_CASE with descriptive names, providing clarity on their purpose.
Package names should be lowercase with a reversed domain name structure to ensure uniqueness and readability.
Enum names should follow PascalCase, with constants in UPPER_CASE for clear distinction as fixed values.
Getter and setter methods should adhere to getVariableName() and setVariableName(value) formats for consistency.
Exception classes should end with 'Exception' in PascalCase, and Java files should match class names exactly.

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Medium

392

Unlocking the Power of Genetics: Combining Next-Generation Sequencing with Hyperdimensional…

Next-Generation Sequencing (NGS) has revolutionized genomics, enabling researchers to sequence entire genomes more quickly and cost-effectively.
Hyperdimensional computing (HCF) is a novel information processing approach that uses high-dimensional vector spaces to optimize large-scale datasets.
Combining NGS with HCF allows for more efficient computation and analysis of genetic sequences, opening up new possibilities in genomics research.
The integration of NGS and HCF has potential applications in genetic engineering, drug design, genetic database searching, and personalized medicine.

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Medium

428

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What Happens When You Tell an LLM It Has an iPhone Next to It?

The article discusses the influence of environmental cues on human cognitive performance and language model behavior.
The author conducted an experiment to test if telling a language model about an environmental condition, like having a phone nearby, would impact its performance.
Results showed that while the presence of a phone impaired human performance, suggesting it to the language model improved its performance.
An open-source script named EvaluateGPT was used to evaluate the effectiveness of the language model prompt in generating SQL queries.
Findings revealed that adding a sentence in a lengthy system prompt significantly enhanced the accuracy of the Gemini Flash 2 model in generating SQL queries.
The study suggests potential practical applications in improving the accuracy of language models by understanding their thought processes.
The importance of diversity of thought is highlighted in the author's nontraditional approach combining psychology, AI, and software engineering skills.
However, the article cautions that the results are specific to the Gemini Flash 2.0 model and SQL query generation, and may not apply universally to all language models or tasks.
The limitations of the study include the small sample size of 20 questions and the need for more robust experimentation for generalizability.
The author is open to expanding the research and potentially publishing a more comprehensive paper based on the traction this study receives.
For transparency, the author has shared the full output, system prompts, and evaluations on Google Drive, along with releasing EvaluateGPT for evaluating LLM output effectiveness.

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Medium

180

The Threat You Can’t Scan For

Veriduct is a framework that challenges the core principle of digital security by shattering files into SHA-256 hashed fragments and storing them independently.
Antivirus and forensics tools fail to detect Veriduct as there is no file to scan or analyze until it is reassembled with a specific key map.
Veriduct can be used both offensively, for undetectable ransomware or covert data couriers, and defensively, for secure storage and dissemination of sensitive information.
Veriduct removes the burden of existence and presence, making it difficult to defend against or detect until it is reassembled.

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Medium

141

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Scalability, Latency, Throughput, CAP | System Design Basics

System design is about building scalable software that works well at any scale.
Scalability means designing a system that can easily grow when needed.
There are two types of scalability: vertical scaling and horizontal scaling.
Most big companies prefer horizontal scaling due to its cost-effectiveness and reliability.

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Dev

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Top Node.js Libraries and Packages for Backend Dev in 2025

Node.js in 2025 continues to be essential for backend development, supported by a diverse range of libraries and tools.
Top picks for authentication include JOSE, known for secure token management, and Passport.js, popular for its reliability and extensibility.
Data validation is crucial, with Zod offering type safety and compatibility, Valibot for minimalist power, and Joi for mature schema validation.
Prisma, Drizzle ORM, and Mongoose lead the ORMs for managing databases, providing developer-friendly features and strong support for different database systems.
Local development tools like tsup and Biome focus on speed and efficiency, while frameworks such as NestJS, Hono.js, and AdonisJS offer structure and performance.
Additional must-have tools like tRPC for building type-safe backends, BullMQ for handling background tasks, and Socket.IO for real-time features are highlighted.
In 2025, speed and efficiency are emphasized with tools like tsup and Biome, complemented by frameworks, ORMs, and validation libraries for a balanced stack.

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Medium

189

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The Dark Side of Being the “Go-To” Developer

Being the go-to developer can start as a compliment and validation for your skills, but it can also have negative consequences.
Over time, you may find yourself fixing other people's mistakes and handling their problems, losing time for your own work.
The role often comes with expectations rather than requests for help, leading to increased pressure and stress.
This can result in the go-to developer feeling unappreciated and resentful, causing conflicts and strained relationships within the team.

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Dev

242

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Elixir for Machine Learning. Part 1 - Theory

Artificial intelligence's role is increasing, with companies implementing AI for various tasks.
While Python is prominent in ML, Elixir is used in real-time processing and distributed systems.
Neural networks, inspired by the brain, consist of interconnected nodes processing data.
Machine learning models learn from data to perform tasks without specific instructions.
Key concepts include models (linear, neural networks), tensors, learning types (supervised, unsupervised), and hyperparameters.
Evaluation metrics like accuracy, precision, recall, and regression metrics assess model performance.
Elixir tools like Nx for computation, Axon for neural networks, and Explorer for data processing are discussed.
Bumblebee offers pre-trained models, Nx.Serving deploys models, and LiveBook aids in interactive development.
Scholar provides classical ML algorithms in Elixir, while Phoenix seamlessly integrates ML models in web apps.
Elixir's advantages include distributed computing, real-time processing, and reliability for ML applications.

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Medium

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7 Cryptography Concepts Every Developer Should Know

Hashing is a one-way process that converts data into a fixed-length string.
Salting enhances security by adding a random string (salt) to data before hashing.
HMAC combines hashing with a secret key to ensure both integrity and authenticity of a message.
Asymmetric encryption uses two different keys: a public key for encryption and a private key for decryption.

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