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The Pragmatic Engineer

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Skills useful to learn for robotics engineering

Robotics industry, specifically humanoid robotics, is a fast-evolving field with high demand.
Skills required include software engineering, AI proficiency, and robotics fundamentals.
Key areas cover communication protocols, performance optimization, AI basics, and real-time robotics.
Having a solid background in mathematics, physics, and hands-on engineering is crucial.
Considering a Master's in Robotics can open up opportunities in academia, industry, and entrepreneurship.

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Dev

268

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The Good Old 'What Are Classes and Objects?' - in plain English

Explaining classes and objects in a simple, relatable way for beginners in programming.
Classes act as design plans to create objects with real-life characteristics or attributes.
Objects are created based on classes, representing real-life things in computer memory.
Memory is allocated only when an object is created, not during class definition.

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Dev

112

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Nerdctl: A Docker‑Compatible CLI for Containerd

nerdctl is a Docker-compatible CLI designed to work with containerd, offering a familiar Docker-like experience with additional features.
It bridges the gap for building and managing Docker images as Kubernetes phases out Docker Engine, focusing on experimental and modern capabilities like lazy pulling and image encryption.
Key features of nerdctl include Docker-style CLI and Compose support, rootless and UserNS-Remap modes for security, lazy pulling and P2P image distribution, image encryption and signing, and advanced build support.
nerdctl v2.1 introduces UserNS-Remap mode and gomodjail sandboxing, highlighting its compatibility with containerd-based Kubernetes setups over tools like Docker and Podman.

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Fueled

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Image Credit: Fueled

Google Site Kit Named WordPress’s Most Trusted Plugin

Google Site Kit, Google's official WordPress plugin developed in partnership with Fueled's 10up practice, has been recognized as the most trusted plugin by the WordPress community.
In a recent survey, 40% of WordPress users voted Site Kit as the plugin they trust the most, and it is now among the top ten most popular plugins on the WordPress.org directory, active on over 5 million sites.
Site Kit integrates tools like Google Analytics, Search Console, AdSense, and PageSpeed Insights into the WordPress admin experience, allowing easy setup of essential Google services and access to traffic stats, SEO insights, and other web data in one place.
Google partnered with Fueled's 10up practice to develop Site Kit, which has rapidly gained popularity and demonstrates the value it brings to WordPress site owners through seamless integration and valuable insights.

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Javacodegeeks

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Kubernetes Gateway API vs Ingress: The New Standard for Traffic Routing

Kubernetes Ingress has been the standard method for routing HTTP(S) traffic into clusters but has limitations with complex use cases.
The Gateway API is introduced as a modern, expressive standard to replace Ingress over time.
Key differences include support for multiple protocols, native traffic splitting, standardized cross-namespace delegation, role separation, and extensibility.
Migration to Gateway API involves evaluating controller support, starting with HTTPRoute, testing functionality, incremental migration, and automating translation.

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Dev

228

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Unlock Go's HTTP Potential: See Our Performance Benchmarks ✨

Benchmark study evaluates 6 popular HTTP Go frameworks across workload scenarios.
Test subjects include Gin, Fiber, Beego, Echo, Net/Http, and GoFr frameworks.
Benchmark tests include Hello World, Structured Response, and Large Process endpoints.
Framework analysis highlights Fiber's exceptional performance, Net/Http's competitiveness, and Echo's stability.
Insights provided for high-performance, production stability, and feature-rich applications' framework selection.

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Medium

364

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Zero-Allocation Patterns in Modern .NET Web APIs

A spike in memory usage was observed in a .NET web API after a batch deployment, despite no changes to the core logic.
The increase in memory allocations and Gen 0 collections led to latency issues, highlighting the importance of optimizing API performance.
The article discusses the journey into building zero-allocation .NET APIs for improved performance without resorting to advanced features like Unsafe or Span.
The focus was on making smarter coding choices to reduce memory overhead and improve predictability in high-throughput services.

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Logrocket

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Designers write good copy — but not the kind users actually need

UX designers often rely on industry best practices for copy, but they may not suit users.
Dedicated UX writers can ensure copy resonates with the target audience effectively.
Well-crafted copy is crucial for user experience, impacting behavior, clarity, and design requirements.
UX designers focus on structure, while UX writers shape the communication of user experiences.

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Javacodegeeks

192

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Spring Kafka Metrics with Micrometer

Apache Kafka in Spring Boot applications integrates with Micrometer for observability.
Micrometer helps monitor Kafka producer and consumer behavior, emitting metrics for analysis.
Using Docker Compose, set up Kafka quickly for development, including Zookeeper and Kafka.
Spring Kafka, Micrometer, and Actuator provide code examples for Kafka metrics integration.

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Medium

108

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Day 28: The Art of Controlled Chaos

The author reflects on the challenges of adulting, including the need to see a doctor and dealing with bank paperwork.
Navigating startup-oriented life adds pressure, with decisions carrying significant consequences.
Despite the chaos, finding satisfaction in creating a logo and working on frontend development.
The author reflects on finding beauty in small moments amidst the chaos and the struggle of problem-solving as a developer.

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Medium

300

AI in Security Systems: From Surveillance to Threat Prediction

AI is improving false alarm reduction in security systems by leveraging machine learning algorithms to filter out benign alerts with high accuracy.
Natural language processing is being integrated into command centers to help security professionals operate more efficiently, especially in high-pressure environments.
The integration of AI across security systems allows for a more unified and intelligent approach, analyzing patterns across time and space to transform how organizations assess and manage risk.
The future of AI in security focuses on prediction, utilizing AI to forecast vulnerabilities and likely scenarios, enabling proactive prevention and smarter security systems.

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RealPython

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Exploring Protocols in Python

Protocols in Python specify the methods and attributes a class must implement to be considered of a given type.
Protocols are essential for Python's type hint system, enabling static type checking through tools like mypy, Pyright, and Pyre.
They allow for structural subtyping, addressing the limitations of nominal subtyping and enabling static duck typing.
This video course covers understanding protocols, type hints, static duck typing, creating custom protocols, and the distinctions between protocols and abstract base classes.

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Technically Dev

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The post about GPUs

GPUs, specialized chips powering new GenAI models, are in high demand, with NVIDIA stock soaring.
CPUs (central processing units) and GPUs (graphics processing units) are both crucial computer components.
CPUs excel at complex sequential tasks, while GPUs are designed for parallel processing of many simple operations simultaneously.
The evolution of CPUs and GPUs has brought significant improvements in processing power and efficiency over the years.

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Dev

128

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Understanding Rendering in Programming: From Code to Pixels

Rendering in programming is the process of translating code into visible on-screen elements.
Web browsers interpret HTML and CSS to display content while native apps handle rendering directly.
Optimizing rendering performance is crucial for app responsiveness and efficiency in user experience.
Understanding rendering helps developers make better architectural decisions and optimize app performance.
Efficient rendering leads to smoother user experiences, while poor rendering affects app quality.

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Insider

1.1k

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These are the most popular AI coding tools among engineers

AI coding tools are gaining traction in the tech industry, according to a recent survey on popular engineering preferences.
Jellyfish surveyed 645 full-time professionals across different engineering roles and found that 90% of teams are using AI in their workflows.
GitHub Copilot from Microsoft emerged as the top choice among AI coding tools, with Google's Gemini Code Assist and Amazon Q also ranking high in the survey.
Engineers reported significant productivity boosts with AI tools, and 81% believe a quarter of engineering work will be automated by AI in the next five years, fostering a hybrid collaboration between humans and AI systems.

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