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Accessibility That Fits

Building a design that’s responsive to both its contents and its environment is a primary challenge of robust user interface programming.
Using ViewThatFits in SwiftUI can help determine how much text can fit and choose the appropriate date format.
Auto-changing date formats in Apple's Mail table view were removed in Catalina and not restored later, but Finder still adjusts date formats based on table column width.
Implementing auto-changing date formats in apps is less common nowadays.

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Dev

317

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Build an AI code review assistant with v0.dev, litellm and Agenta

In this tutorial, we'll build an AI assistant that can analyze PR diffs and provide meaningful code reviews.
We will be using LiteLLM to handle our interactions with language models and Agenta for instrumenting the code, which helps debug and monitor apps.
Prompt Engineering is focused on refining prompts and comparing different models using Agenta's playground.
To evaluate the quality of our AI assistant's reviews and compare prompts and models, we need to set up evaluation using LLM-as-a-judge.
Deployment is straightforward with Agenta. You can either use Agenta's endpoint or deploy your own app and use the Agenta SDK to fetch the production configuration.
For the frontend, v0.dev was used to quickly generate a UI.
Tools such as refinining the Prompt, handling large Diffs, and adding more context can be used to further enhance the AI assistant.

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Medium

231

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Making the Invisible Visible: Bringing Backend Operations to Life

Backend activity is often difficult to explain or visualize, but visualizing it can provide a better understanding of how different functions work together to handle user requests.
By using real customer data and creating animations, backend processes can be transformed into something engaging and relatable.
The project aims to show that creating unique animations to visualize backend activity can be done using tools like Google Cloud and p5.js.
The animation represents backend functions visually, with each line reflecting the traffic and load handled by each function over the past two weeks.

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Dev

194

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Don’t Be a Programmer, Be a Software Engineer

Knowing how to code doesn’t make you a software engineer. Being a programmer is about writing code. Being a software engineer is about solving problems. The industry wants problem solvers, not just code writers. Companies look for engineers who understand architecture, scalability, and how to make trade-offs between time, cost, and complexity. Automation is creeping in. Engineers are needed to design complex systems, make judgment calls, or understand user needs which AI cannot do as of now. If you want to be a software engineer, you need to know how to design systems. Learn about load balancing and caching, database design and indexing, distributed systems, and microservices. The best engineers never stop learning, explore new tools, frameworks, and paradigms.
The article elaborates on how programming is different from software engineering. This article highlights that to thrive in the tech industry, you need to think beyond syntax and start thinking about systems.
The article suggests that the Job market for just 'programmers' is already saturated, and companies are looking for engineers who understand scalability, make trade-offs, and can design robust solutions.
Automation is creeping in on the work of a programmer—basic coding—but engineers are needed to design complex systems, make judgment calls, and understand user needs better.
The article explains the shift from Programmer to Software Engineer, and the fundamental principles to learn for the same. In-depth knowledge of system design, business context, collaboration, and never-ending curiosity is a must.
Software engineers need to be adaptable and keep up with new tools and paradigms. Focusing on building systems, not just writing code, is the key to becoming an indispensable resource in an ever-changing industry.

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Dev

122

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Code That Belongs in a Museum, Not a Repository

Code that is overly complex and clever may appear beautiful, but it is not useful in practice.
Writing code that requires a deep understanding of esoteric syntax only frustrates and confuses other developers.
Simplicity and readability should be prioritized over elegance and complexity in code.
Writing code that is easy to understand and maintain leads to faster onboarding, easier debugging, and happier teams.

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7 Likes

Medium

108

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NFT sales of Plump Penguins slump as token surges: Nifty Newsletter

NFT sales of Plump Penguins have slumped significantly.
However, the native token PENGU has seen a notable 13% surge.
The success of a viral marketing campaign does not guarantee sustainable results.
Long-term sustainability in the crypto space requires strong strategies and value proposition.

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Dev

389

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The Ultimate Cheat Sheet: CLI Man Pages, tldr, and cheat.sh

This article introduces three major solutions for CLI-cheat-sheet-tools, including man pages, tldr and cheat.sh, focusing on their advantages, installation, how to use, and learn more.
Man pages, the official documentation method on Unix-like systems, provide offline references for nearly every system command, library or config file.
tldr (short for "too long, didn't read") is a community-driven project providing concise, example-focused cheat sheets for popular commands that are typically 5 to 10 lines in length.
cheat.sh is a curl-based web tool that aggregates both CLI commands and programming snippets, covering 56 programming languages, several DBMSes, and more than 1,000 UNIX/Linux commands.
Man pages are perfect for advanced or obscure flags, but can be overwhelming when you just want a quick example.
tldr provides minimal and fast cheat sheets for everyday tasks. It also has an offline cache feature.
cheat.sh offers curl-friendly access for CLI commands and language cheat sheets in one place, albeit requiring an internet connection.
There are also other similar tools like eg, cheat, and devhints, which provide practical command-line examples, interactive cheatsheets, and easy-to-navigate cheatsheets respectively.
The article concludes with a reminder that mixing and matching these tools will provide all the necessary means to tackle any situation.

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Medium

204

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React 19: New API use(promise)

is being used to display a fallback until the promise is resolved.
The function fetchMessages returns a promise, which could be a fetch request in a real-world example.
React 19 introduces the use of 'use' to achieve similar result as 'await' with promises.
Rendering behavior differs between server-side rendering and client-side rendering when using 'use' with promises.

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Medium

Demistifying Istio Gateways

Istio gateways are Envoy proxies through which all incoming and outgoing traffic of the mesh passes. Istio uses Ingress or Egress gateways for installation of the control plane, which is done either through the CLI or deploying gateways with IstioOperator resource. To configure the gateways, Gateway CRD (Custom Resource Definition) is used. This is simply a set of configurations that are applied to the gateway pods. VirtualServices are used to expose services outside the mesh. In the basic case, a gateway is needed to be exposed through VirtualService on port 80 and HTTP protocol. The Gateway resource listens to requests that come from inside the mesh and VirtualService routes traffic from there.
TLS certificates are used to secure the workload and must be placed in a TLS Kubernetes secret. The same configuration is adapted in the case of mTLS mode for TLS origination and it is used to validate the client's integrity. A ServiceEntry is created for egress gateways to close outbound traffic to endpoints outside the mesh. Metrics and logs monitoring is facilitated through gateways too. Istio gateways can be used to ensure that all traffic passes through a single point in the system, offer features that make your life easier, like certificate and TLS configuration.

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Medium

439

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Why Learning Kotlin is Better Than Going to College

Learning Kotlin can be a smarter choice than going to college for many people.
Learning Kotlin is practically free and can be done in weeks or months.
Employers care about practical skills, and knowing Kotlin can make you stand out.
Learning Kotlin offers flexibility, hands-on experience, and immediate impact in the workforce.

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26 Likes

Dev

294

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Mastering CSS Flexbox: A Guide with Handy Tips

Flexbox is a CSS3 web layout model that allows for flexible and efficient layouts.
It simplifies the process of aligning and distributing space among items in a container.
Key properties for the flex container include display, flex-direction, justify-content, align-items, and align-content.
Handy tips include using Flexbox for responsive design, centering items easily, controlling item order, and understanding flex-grow and flex-shrink.

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17 Likes

Dev

258

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Introducing Codin: A CLI for Automated ML Model Testing in CI/CD

Introducing Mlxd, a CLI tool for automated ML model testing in CI/CD
Mlxd automates model validation by setting thresholds for metrics like accuracy, precision, and latency
It saves time by running checks automatically on every code commit without manual intervention
Mlxd works seamlessly with CI/CD tools and allows for easy configuration and scalability

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Javacodegeeks

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Kafka vs. Pulsar: Choosing the Right Java Streaming Library

Apache Kafka and Apache Pulsar are two popular tools for building streaming applications.
Apache Kafka features high throughput, distributed architecture, a strong ecosystem, and durability.
Java integration with Kafka is supported through a rich Java API.
Apache Pulsar offers features like multi-tenancy, geo-replication, and scalable architecture.

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8 Likes

Dev

403

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🛥️ Introduction to Docker: Core Concepts and Basics for Beginners

Docker lets developers build, ship, and manage their apps in containers, which are isolated environments containing everything needed to run an application.
Docker is an open-source platform that automates the deployment of applications inside containers.
The Open Container Initiative (OCI) aims to create industry standards for container runtime and image specifications.
Containers share the host system's kernel, making them lightweight and fast to start compared to virtual machines (VMs).
Docker is ideal for microservices and rapid deployments, while bare metal is best suited for high-performance workloads requiring complete control over hardware.
Docker terminology includes Dockerfile, Image, Container, and Registry.
Basic docker commands include docker --version, docker help, docker info, docker images, docker pull, docker build, docker rmi, docker tag, docker run, docker ps, docker stop, docker start, docker restart, docker rm, docker exec, docker logs, docker top, docker stats, docker inspect, docker rename, docker network ls, docker network create, docker network connect, docker network disconnect, docker volume ls, docker volume create, docker volume inspect, and docker volume rm.
Docker makes building, deploying, and running apps using containers efficient, portable, and scalable, which is why they’re at the heart of modern software development.
If you know Docker and how it works with OCI, you can use this tech to speed up your workflows and ensure your apps work on any platform.
Docker architecture will be discussed in the next week's article.

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Dev

213

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The 10 fastest programming languages in the world

Programming languages play a vital role in the world of big data where tools that match this capability are a must-have to ensure high-speed data processing and management. The article provides information and comparisons that were tested on about 30 programming languages to determine their speed.
Assembly was not included since it would likely have taken the first place in the rankings. The ranking provides the 10 fastest programming languages based on the performance.
Dlang ranked 10th on the list of the fastest programming languages, followed by Swift, while Lua secured the 8th position.
Rust ranked 7th position and Perl secured the 6th position on the list of top 10 fastest programming languages.
Ada, which was named after Ada Lovelace, secured the 5th position, while Vala and Fortran came in at the 4th and 3rd positions respectively.
The C programming language was at the 2nd rank mainly used in developing operating systems, web browsers, and some game engines.
C++, which is based on Simula and also compiles C code, took the top spot on the list of world’s fastest programming languages.
All tests were carried out on a for loop that performs 1000 cycles, and this can be found on the GitHub repository linguagens-test-loop.
Big players in the tech industry like Apple have invested in developing languages such as Swift that compile to machine code and have high performance.
Rust built its ideas on Swift and combines the syntax of various languages like C++ and OCaml that also attributes its high-performance nature.

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