Artificial intelligence (AI) has revolutionized the way we interact with images, and the current AI image solutions are a testament to this. AI image solutions are applications of AI that can identify, classify, and manipulate images with remarkable accuracy and speed. With the rise of deep learning and computer vision, AI image solutions have become increasingly sophisticated, and their applications have expanded to fields such as healthcare, finance, entertainment, and more. Some of the most prominent AI image solutions and their applications.

Image Recognition

Image recognition is the process of identifying and classifying objects, people, or other elements in an image. AI-powered image recognition solutions use deep learning algorithms to recognize images with high accuracy. Image recognition is widely used in various fields, including healthcare, security, and retail. For example, in healthcare, AI image solutions are used to analyze medical images such as X-rays and MRIs to detect diseases and conditions such as cancer, brain injuries, and more. In security, AI-powered image recognition solutions are used to identify faces, license plates, and other elements in surveillance videos. In retail, AI image solutions are used to identify and classify products and improve inventory management.

Object Detection

Object detection is a subset of image recognition that involves detecting the location of specific objects in an image. AI-powered object detection solutions can identify and locate objects in an image with high accuracy. Object detection is used in various fields, including self-driving cars, security, and e-commerce. For example, in self-driving cars, AI image solutions are used to detect pedestrians, traffic lights, and other objects on the road. In security, AI-powered object detection solutions are used to identify suspicious behavior and detect objects such as weapons and explosives. In e-commerce, AI image solutions are used to detect and locate products in images, improving search and recommendation algorithms.

1. TensorFlow: TensorFlow is an open-source platform for building and training machine learning models, including image recognition models. It provides a wide range of tools and resources for image processing and can be used for tasks such as image classification, object detection, and segmentation.
2. Keras: Keras is a high-level neural networks API written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It is a user-friendly and efficient way to build and train deep learning models, including image recognition models.
3. PyTorch: PyTorch is another popular open-source machine learning framework that can be used for image recognition. It provides a flexible and easy-to-use platform for building and training deep learning models and supports various image processing tasks.
4. OpenCV: OpenCV is a widely used computer vision library that provides tools and algorithms for image processing, including image recognition. It can be used for tasks such as object detection, face recognition, and motion detection.
5. YOLO: YOLO (You Only Look Once) is an open-source object detection system that can recognize objects in images and videos with high accuracy and speed. It is based on deep learning and can be trained on custom datasets.
6. ImageAI: ImageAI is an open-source library that provides pre-trained models for image recognition tasks such as object detection, classification, and segmentation. It supports several deep learning frameworks, including TensorFlow, Keras, and PyTorch.
7. Detectron2: Detectron2 is an open-source object detection framework built on top of PyTorch. It provides a flexible and efficient platform for building and training object detection models and supports various architectures such as Faster R-CNN, Mask R-CNN, and RetinaNet.
8. MXNet GluonCV: MXNet GluonCV is an open-source computer vision library built on top of MXNet. It provides a wide range of tools and resources for building and training object detection models and supports various architectures such as Faster R-CNN, Mask R-CNN, and SSD.
9. SimpleDet: SimpleDet is an open-source object detection framework based on PyTorch. It provides a simple and efficient platform for building and training object detection models and supports various architectures such as Faster R-CNN and RetinaNet.

Image Segmentation

Image segmentation is the process of dividing an image into multiple segments or regions based on specific criteria. AI-powered image segmentation solutions use deep learning algorithms to identify different objects and elements in an image and segment them accordingly. Image segmentation is widely used in various fields, including healthcare, entertainment, and transportation. For example, in healthcare, AI image solutions are used to segment medical images such as CT scans and MRIs to aid in diagnosis and treatment. In entertainment, AI-powered image segmentation solutions are used to create special effects and manipulate images in movies and games. In transportation, AI image solutions are used to segment images of roads and traffic to aid in autonomous driving.

1. Mask R-CNN: Mask R-CNN is an open-source framework based on deep learning that can perform instance segmentation, which involves identifying and segmenting each object in an image. It is built on top of the Faster R-CNN architecture and supports various deep learning frameworks such as TensorFlow and PyTorch.
2. U-Net: U-Net is a popular open-source deep learning architecture for image segmentation. It is based on a fully convolutional neural network and has been widely used for tasks such as medical image segmentation.
3. DeepLab: DeepLab is an open-source image segmentation framework based on deep learning. It supports various architectures such as DeepLab v3 and DeepLab v3+, which have achieved state-of-the-art performance on several benchmarks.
4. SegNet: SegNet is an open-source deep learning architecture for image segmentation. It is based on an encoder-decoder network and has been widely used for tasks such as road segmentation and object detection.
5. PyTorch-UNet: PyTorch-UNet is an open-source implementation of the U-Net architecture in PyTorch. It provides a simple and efficient platform for building and training image segmentation models.
6. SimpleITK: SimpleITK is an open-source library for image analysis that provides tools and algorithms for image segmentation, registration, and filtering. It supports various programming languages such as Python, C++, and Java.

Image Generation

Image generation is the process of creating new images using AI algorithms. AI-powered image generation solutions can generate highly realistic images based on specific inputs, such as text descriptions or reference images. Image generation is used in various fields, including art, fashion, and advertising. For example, in art, AI image solutions are used to generate unique and creative designs and artworks. In fashion, AI-powered image generation solutions are used to create new designs and prototypes. In advertising, AI image solutions are used to generate highly realistic product images and visualizations.

1. GAN (Generative Adversarial Networks): GANs are a type of deep learning model that can generate realistic images by training two neural networks, a generator and a discriminator, in a adversarial setting. Several open-source implementations of GANs are available, including TensorFlow-GAN, PyTorch-GAN, and Keras-GAN.
2. StyleGAN (Style-Based Generative Adversarial Networks): StyleGAN is a type of GAN that can generate high-quality images with fine-grained control over the image style and content. It has been used to generate realistic human faces, animals, and other objects. An open-source implementation of StyleGAN is available on GitHub.
3. DeepDream: DeepDream is a visualization technique that uses convolutional neural networks to generate abstract and surreal images. It works by optimizing the input image to maximize the activation of specific neurons in the network. An open-source implementation of DeepDream is available in the TensorFlow library.
4. PixelRNN (Pixel Recurrent Neural Networks): PixelRNN is a type of neural network that can generate images pixel by pixel. It works by predicting the probability distribution of each pixel value based on the context of previous pixels. An open-source implementation of PixelRNN is available in the PyTorch library.
5. VAE (Variational Autoencoder): VAEs are a type of deep learning model that can generate images by learning a low-dimensional representation of the image space. They work by encoding an input image into a lower-dimensional latent space and then decoding it back into an image. Several open-source implementations of VAEs are available, including TensorFlow-VAE and PyTorch-VAE.

AI image solutions are transforming the way we interact with images and are being used in various fields to improve efficiency, accuracy, and creativity. From image recognition and object detection to image segmentation and generation, AI image solutions are increasingly sophisticated and capable. As AI technology continues to evolve, we can expect to see more applications of AI image solutions in the future, and they will undoubtedly play an essential role in many industries.

The Future

Some of the tools are already used in new ways, to help reconstruct or understand archaeology dig sites. They help analyse genes and will help to discover new remedies or cures for illnesses in the future.

Even though many complain about the exponential growth of AI, it brings so many positive angels into the mix, allowing us to fix and elevate our lives. Sadly change often comes at a cost, but it lies in our hands to direct and secure AI technology to help and not destroy lives.

First a bit of context :)

What is Gettext?

Translation within WordPress is based of Gettext. Gettext is a software internationalization and localization (i18n) framework used in many programming languages to facilitate the translation of software applications into different languages. It provides a set of tools and libraries for managing multilingual strings and translating them into various languages.

The primary goal of Gettext is to separate the text displayed in an application from the code that generates it. It allows developers to mark strings in their code that need to be translated and provides mechanisms for extracting those strings into a separate file known as a „message catalog“ or „translation template.“

The translation template file contains the original strings and serves as a basis for translators to provide translations for different languages. Translators use specialized tools, such as poedit or Lokalize, to work with the message catalog files. These tools help them associate translated strings with their corresponding original strings, making the translation process more manageable.

At runtime, Gettext libraries are used to retrieve the appropriate translated strings based on the user’s language preferences and the available translations in the message catalog. It allows applications to display the user interface, messages, and other text elements in the language preferred by the user.

Gettext is widely used in various programming languages, including C, C++, Python, Ruby, PHP, and many others. It has become a de facto standard for internationalization and localization in the software development community due to its flexibility and extensive support in different programming environments.

What are WordPress language files?

WordPress uses dedicated language files to store translations of your strings of text in other languages. Two formats are used:

1. Portable Object (PO) files: They serve as the message catalog, containing the original strings that need to be translated and placeholders for the translations. Each entry in a PO file consists of several fields:
   • msgid: This field represents the original string that needs to be translated.
   • msgstr: This field holds the translated string corresponding to the msgid field.
   • Comments: PO files may include comments that provide context or instructions for translators. These comments start with a „#“ symbol.
2. Machine Object (MO) files: MO files are generated from PO files using a compilation process. The compilation process converts the human-readable PO file, which contains the original strings and their translations, into a more compact and efficient binary format suitable for runtime use.
   
   The purpose of MO files is to provide a faster and more efficient way of accessing translations during the execution of a software application. Instead of parsing and processing the text-based PO files at runtime, the Gettext libraries directly read the pre-compiled MO files.

Caching Language Files!

There has been a discussion for years, if it makes sense to cache mo-files, to speedup WordPress when multiple languages are in use. Discussion of the WordPress Core team.

There have been a couple of plugins trying to fix this and prevent reloading of language files on every pageload.

• https://de.wordpress.org/plugins/fast-translate/
• https://de.wordpress.org/plugins/mo-cache/
• https://de.wordpress.org/plugins/speed-up-translation/
• https://github.com/inpsyde/translation-cache
• https://www.bjornjohansen.com/wordpress-translations-loading-time

Most of these use transients in your database and object caches if active.

Does it really make any sense?

Well it all depends on the amount of language files and your infrastructure. This load/parse operation is quite CPU-intensive and does spend quite a significant amount of time.

I have decided, not to bother with it in the past :) But I am always looking for ways to speed up multi-lingual websites, as that is my daily bread & butter ;) Checkout Index WP MySQL For Speed & Index WP Users For Speed, which optimizes the MySQL Indexes for optimal speed. That change, really does make a bit difference!

Native Gettext for WordPress

One thing that can help to speed up things, is to use the native gettext extension and not the WordPress integration of it. This will indeed help speedup translation processing and help big multilingual websites.

Native Gettext for WordPress by Colin Leroy-Mira, provides just that.

Disable Gettext, when only using English!

Create a must use plugin and add this:

This will prevent any .mo file from loading.

Use the gettext filter to change any translatable string.

Please consider the performance impact. Read about it at the main documentation.

Enjoy ….

I am a huge Docker fan and run my own home and cloud server with it.

What is Docker?

„Docker is a platform that allows developers to create, deploy, and run applications in containers. Containers are lightweight, portable, and self-sufficient environments that can run an application and all its dependencies, making it easier to manage and deploy applications across different environments. Docker provides tools and services for building, shipping, and running containers, as well as a registry for storing and sharing container images.

With Docker, developers can package their applications as containers and deploy them anywhere, whether it’s on a laptop, a server, or in the cloud. Docker has become a popular technology for DevOps teams and has revolutionized the way applications are developed and deployed.“

Why this article series?

I am always looking for new ways to document the tools I use. This might help others to find interesting projects to enhance their own work or hobby life :)

I will have multiple series of this kind. I am starting with Docker this week, as it is at the core / a hub for many things I do. I often testdrive things locally, before deploying them to the cloud.

I am not concentrating on the installation of Docker itself, there are so many articles about that out there. You will have no problem to find help articles or videos detailing it for your platform.

Docker Compose or CLI?

Docker Compose and Docker CLI (Command Line Interface) are two different tools provided by Docker, although they are often used together.

Docker CLI is a command-line interface tool that allows users to interact with Docker and manage Docker containers, images, and networks from the terminal. It provides a set of commands that can be used to create, start, stop, and manage Docker containers, as well as to build and push Docker images.

Docker Compose, on the other hand, is a tool for defining and running multi-container Docker applications. It allows users to define a set of services and their dependencies in a YAML file and then start and stop the entire application with a single command. Docker Compose also provides a way to manage the lifecycle of the containers as a group, including scaling up and down the number of containers.

I prefer the use of Docker Compose, as it makes it easy to replicate and tweak a setup between different servers.

CLI to Composer YAML

There are tools like $composerize, which allow you to easily transform a CLI command into a composer file. Also a nice way to easily combine multiple commands into a clean configuration.

Portainer – Using a webinterface for docker

Portainer is an open-source container management tool that provides a web-based user interface for managing Docker environments. With Portainer, users can easily deploy and manage containers, images, networks, and volumes using a graphical user interface (GUI) instead of using the Docker CLI. Portainer also provides features for monitoring container and system metrics, creating and managing container templates, and configuring and managing Docker Swarm clusters.

Portainer is designed to be easy to use and to provide a simple and intuitive interface for managing Docker environments. It supports multiple Docker hosts and allows users to switch between them easily from the GUI. Portainer also provides role-based access control (RBAC) to manage user access and permissions, making it suitable for use in team environments.

Portainer can be installed as a Docker container and can be used to manage both local and remote Docker environments. It is available in two versions: Portainer CE (Community Edition) and Portainer Business. Portainer CE is free and open-source, while Portainer Business provides additional features and support for enterprise users.

Portainer is my tool of choice, as it allows to create stacks. A stack is a collection of Docker services that are deployed and managed as a single entity. A stack is defined in a Compose file (in YAML format) that specifies the services and their configurations.

When a stack is deployed, Portainer creates the required containers, networks, and volumes and starts the services in the stack. Portainer also monitors the stack and its services, providing status updates and alerts in case of issues or failures.

Export a Docker compose-file

As I said, its important for me to easily transfer a single container or stack to another server. The stack itself can be easily copied and reused. But do we easily export the setup of a current single docker file into a docker-compose file?

docker-autocompose to the rescue! This docker image allows you to generate a docker-compose yaml definition from a docker container.

Export single or multiple containers

Export all containers

This has been a great tool to also quickly backup all relevant container information. Apart from the persistent data, the most important information to quickly restore a setup if needed.

Backup , backup … backup! Learned my lesson, when it comes to restoring docker setups ;) Its so easy to forget little tweaks you did to the setup of a docker container.

Starting tomorrow …

Productivity tools are software applications that help individuals and teams to manage their time and tasks more effectively. These tools can range from simple time tracking and task management apps to more advanced project management software.

The goal of productivity tools is to increase efficiency, organization, and accountability, allowing users to accomplish more in less time. They can be used for a variety of purposes, such as scheduling meetings, setting reminders, tracking progress, and delegating tasks. With the right productivity tools, individuals and teams can streamline their workflows, increase their productivity, and achieve their goals more easily.

I always use the first week of the year to evaluate my tools, workflows and software. I try to switch as little as possible within every 6 months, as I can not afford any downtime during my projects. This is the first year, that I am sharing a mostly complete list of things I use. Might be interesting for some of you.

Update: Not completely done yet, but close :)

Project / Task Management & Research

1. Asana
   „Asana is a web and mobile application designed for team collaboration and project management. It allows users to organize tasks, projects, and conversations in one place, and it offers a range of features, such as the ability to assign tasks, set deadlines, and track progress. It is designed to help teams collaborate more efficiently and effectively. Asana is a freemium service, with paid plans that offer additional features and integrations.“
   
   Asana has been my go-to tool for the past years to organise my internal and client projects.
   Helps to keep me and my clients informed about upcoming tasks and tasks closed. Also enjoying the REST-API, as it allows me to connect to many of my other tools.
   
   I had a couple of clients that were skeptical about it, but many use it for themselves as well now.
2. Kimai – Time Tracking
   Kimai is an open-source time-tracking software. It is a web-based application that allows users to track and organise their time, and to generate reports on their activity.
   
   Kimai has been one of the first things, that I setup on my Homelab Server. Will talk more about my Homelab setup later …
   
   Its always difficult to grasp how much time projects take, especially when you are not doing generic projects.
   
   Kimai helped me to track certain tasks over the years and help me to optimise my internal hourly requirements per task and costs per task / milestone in the end. Nothing will ever make time-tracking and cost calculation rock solid, but it helps to at least lessen some of the pain ;)
   
   I also used to testdrive ActivityWatch, which has automatic watchers for different tools you use. Nice, but too involved for me.
   
   Kimai has a REST-API to easily access data from other tools in my stack. I have a tightly knit set of tools for all my workflows.
   
   Some of the features of Kimai include:
   
   • Time tracking, with the ability to start and stop timers, and to manually enter time worked
   • Support for multiple projects and tasks
   • Reporting, with the ability to generate various types of reports, including a detailed project report
   • Invoicing, for billing clients for the time worked on their projects
   • User management and permissions, allowing for multiple users and different levels of access to the application
   • Multi language support
   • Integration with other tools as invoicing, project management, and more.
     
     
3. Devonthink
   is a personal information management and research application for macOS, iPadOS and Windows. It helps individuals and teams to organize, classify and discover their files, bookmarks, emails, notes and more. It uses machine learning, natural language processing, and other advanced technologies to help users find and organize the information they need, and provides powerful tools for researching, writing, and data management.
   
   Additionally, DEVONthink provides integration with other applications such as TextExpander, and Hazel, feature for file encryption, backup, and syncing. It can also be used to store and organize PDFs, images, and other documents, and it can be used to create and manage databases, to-do lists, and other types of information.

Project Development Tools

IDE

1. Adobe Dreamweaver
   I know :) Tried to switch multiple times and always came back to it. I know where everything is and have not been asking for anything more in the past ;) But I am also trying to slowly phase out my Adobe subscription and switch to comparable tools without a subscription model!
   I used PHPStorm for a while, but never really switched completely. Not a big fan of the underlying Java architecture.
2. Nova
   CSS, Diff, EJS, ERB, HTML, INI, JavaScript, JSON, JSX, Less, Lua, Markdown, Perl, PHP, Python, Regex, Ruby, Sass, SCSS, Shell Script, SQL, Tree-sitter Query, TSX, TypeScript, XML, and YAML.
   
   Trying Nova right now, which might be my next IDE!

PROJECT PROTOTYPING

Pretty flexible, when it comes to these tools. I am working with different agencies and customers, some prefer Adobe XD and some Figma.

1. Adobe XD
   (Experience Design) is a user experience design software developed and published by Adobe Systems. It is used for designing and prototyping user interfaces for mobile and web applications. It provides a set of tools for designing and prototyping user interfaces, including vector-based drawing tools, prototyping tools, and design resources such as pre-built UI elements, icons, and typefaces.
   
   Adobe XD has built-in support for creating responsive designs, by allowing designers to create multiple artboards of different sizes, layouts, and orientations, in order to visualize their designs across a variety of devices and screen sizes.
2. Figma
   Figma is a cloud-based interface design and prototyping tool that allows designers to create, collaborate on, and share user interface designs. It is focused on providing a real-time collaborative design experience, making it easy for multiple people to work on the same design at the same time.

MARKUP TOOLS

1. MarkText
   A simple and elegant open-source markdown editor that focused on speed and usability.

LOCAL TOOLS

I am a Mac and Linux guy. Windows only exists virtualised in my work environment ;)

1. Homebrew
   The Missing Package Manager for macOS (or Linux).
   Allows you to get almost anything to run locally. Quickly install Go, specific Python or PHP versions.
   Works perfectly on ARM by now. Still remember switching between ARM and x86 architecture / machines for some tools in the past.

CROSS PLATTFORM DEVELOPMENT

1. XOJO
   Not very mainstream, but has been in my toolbox for the past 20 years. Currently testdriving the Android Beta and developing an Android App with it. Has its limitation, but will allow to easily switch to iOS next.
   
   „Xojo (previously known as REALbasic) is a software development tool that allows developers to create cross-platform desktop, web, and mobile applications. It is a high-level programming language and integrated development environment (IDE) that provides an easy-to-use interface for creating applications for various platforms, including macOS, Windows, Linux, iOS, and the web. Xojo uses a drag-and-drop interface for creating user interfaces and provides a wide range of tools for developing, debugging, and deploying applications.“
2. IONIC
   Mostly internal concepts and prototypes. I know my way around it and keep myself uptodate.
   
   „Ionic is a free and open-source framework for building cross-platform mobile applications using web technologies such as HTML, CSS, and JavaScript. It allows developers to use their web development skills to build apps for iOS, Android, and the web (progressive web apps) all with a single codebase.
   
   Ionic is built on top of Angular (a JavaScript framework for building web applications) and Apache Cordova (a platform for building native mobile apps using web technologies) and provides a set of pre-built UI components and tools for building mobile apps with a native-like feel. It also allows developers to use popular JavaScript libraries such as Angular, React, and Vue.js to build apps.
   
   Additionally, Ionic also provides a command-line interface(CLI) to help developers quickly start new projects, build and test their apps on devices and simulators, and deploy their apps to app stores.“
3. FlutterFlow
   Also looking at FlutterFlow currently for some quick prototyping.
   
   FlutterFlow is a website and app building platform that allows users to create mobile and web applications without writing code. It uses a drag-and-drop interface and a visual editor to make it easy for users to design and build their applications. With FlutterFlow, users can create custom layouts, add features like forms, galleries, and e-commerce functionality, and connect to external APIs and services. It also includes a set of pre-built templates and components that can be easily customized to fit the needs of the user. Additionally, it also provides hosting, analytics and can be integrated with Firebase for mobile app development.

BROWSER & APP TESTING

1. LamdaTest
   Lambdatest is a cloud-based, cross-browser testing platform that allows users to test their web applications across a wide range of browsers, operating systems, and devices. It is designed to make it easy for developers and testers to run automated and manual tests on a scalable, pay-as-you-go infrastructure. The platform uses real browsers and virtual machines to simulate different environments, and it can also be integrated with popular testing frameworks and Continuous Integration (CI) tools.

API TESTING

1. RapidAPI (former Paw)
   RapidAPI for Mac is a full-featured HTTP client that lets you test and describe the APIs you build or consume. It has a beautiful native macOS interface to compose requests, inspect server responses, generate client code and export API definitions.

ERROR TRACKING

1. Glitchtip (Self hosted + Sentry compliant)
   An open-source error tracking software that helps developers identify and fix issues with their applications. It allows developers to monitor and detect errors in real-time and provides detailed information about the error, such as a stack trace, context, and user information.
   
   This information helps developers to quickly identify the root cause of an error and fix it. It can be integrated with various development platforms and languages such as python, java, javascript, c# and many more.
   
   Glitchtip provides a variety of features to help developers and teams manage errors, including:
   -Real-time notifications of new errors
   -Automated workflows to triage and assign errors
   -Support for grouping similar errors together for easy analysis
   
   This has been one of the biggest pains to setup myself in docker, but works like a charm now :)

TRANSLATION

1. PoEdit Mac App
   Poedit provides translators and developers with a powerful and intuitive editor for gettext. It helps save time on mundane translation tasks with a lightweight and easy-to-use interface and smart features like pre-translation and machine translation.
2. Weblate / Selfhosted in Docker
   „Web-based continuous localization. Hosted service and standalone tool with tight version control integration. Simple and clean user interface, propagation of translations across components, quality checks and automatic linking to source files.“

VERSIONING

1. BitBucket / SVN
   Use this for all my private repositories.
2. Github / Git
   Some public, some private repositories. These are mostly hobby related …
3. Homelab Git & SVN repositories
   Use this for projects, documents and other things I like to keep versioned

sFTP / SSH / TERMINAL

1. Transmit / sFtp
2. iTerm2 SSH & Terminal

COMPILER / BUNDLER

1. GULP
   „Leverage gulp and the flexibility of JavaScript to automate slow, repetitive workflows and compose them into efficient build pipelines.“
   
   This tool has been around for ages and is still my tool of choice for many tasks. I am keeping a preconfigured setup updated, so that I can easily reuse it when needed. There are some nice extensions available, like gulp notify, gulp fancy-log and vinyl-ftp.
   
   I started with Webpack for some projects, but some things are still a lot easier to handle with gulp. Currently also looking at PARCEL, which has gained traction and is well supported.
2. CodeKit
   Compile Sass, Less, Stylus, CSS, CoffeeScript, Pug, Slim, Haml, TypeScript, JavaScript, ES6, Markdown, JSON, SVG, PNG, GIF and JPEG right out of the box.
   
   Easy and fast to use, especially for smaller projects ;)

DATABASE

1. Navicat
   „Navicat Premium is a multi-connection database development tool which allows you to connect several types of databases within a single application: MySQL, MariaDB, MongoDB, SQL Server, SQLite, Oracle and PostgreSQL, create a quick and easy access to all your databases all at once.“

IMAGE PROCESSING / DESIGN

Again trying to free myself from the Adobe subscription model. Might be the last year and than I can finally transition away ;)

1. Affinity Photo
2. Adobe Photoshop

VECTOR DESIGN

Love to switch it up and again be flexible when it comes to customer preferences ;)

1. Sketch
   Love the eco-system around it. Artboards are quick to navigate and you can quickly export assets in the right format.
2. Affinity Designer
3. Adobe Illustrator

ANIMATION

1. Keyshape for 2D and Lottie Animations
   KeyShape is a vector animation software for Mac and Windows that allows designers and developers to create animations for the web, mobile apps and other platforms with a vector graphics editor. It’s an easy to use tool with a familiar design interface, that is built on top of industry standards such as SVG (Scalable Vector Graphics) and CSS, making it easy to create animations that are lightweight, scalable and perform well on various devices.
   
   KeyShape was created with web designers and developers in mind, it is a great tool for creating animations that are optimized for the web and for adding interactive animations to mobile apps, It also allows for easy integration with other software and programming languages, like web development frameworks, it makes it a popular choice for adding interactive animations and effects to websites and apps.
2. Adobe Animate / After Effects

Project Communication

1. Slack
   Slack is designed to simplify and streamline communication within teams, making it easier for team members to share information, collaborate on projects, and stay on the same page. It can be used by small and big teams, for different purposes and industries, and it’s accessible via different devices and platforms.
   
   Used it far more in the past, but many of the things are centralised in Asana, other Homelab or external tools now. Still using Slack to centralize notifications.
   
   It’s a cloud-based platform that allows teams to communicate and work together in real-time, by providing a range of tools and features such as:
   • Instant messaging and chat, with support for direct messages and group conversations
   • Channels, which are dedicated chat rooms for specific topics, projects, or teams
   • File sharing, allowing users to easily share and collaborate on documents, images, and other files
   • Integrations, which allows Slack to connect with a wide variety of other tools and services, such as Google Drive, Trello, and Asana
   • Mobile apps, which allow users to stay connected and collaborate from anywhere
   • Search, that allows to look for previous conversations, files, etc.
   • Voice and video calls
     
     

Programming Languages

I am always staying busy, when it comes to programming languages. Have my side projects, that keep me exploring new stuff. My current top 8 ;)

1. PHP
2. Javascript / Node.JS / React Native
3. Ansible / Shell Scripting
4. Go / Golang
5. Python
6. Xojo (Realbasic) Desktop / Mobile / Console
7. Swift
8. C++

Homelab Tools

„A homelab is a personal laboratory or workspace that is set up in a person’s home, typically for the purpose of experimenting with and learning about various technology or IT related topics. This can include things like building and configuring servers, experimenting with different operating systems and software, and learning about network and security concepts.“

I started my Homelab 2020 to allow more flexible workflows, to play with Docker setups, lower costs for external services and have full access to any server tool when ever needed. Allows me to quickly mirror customer setups or simulate possible upgrade paths. Quite addictive once you start building your own server. And the things you learn, can be easily replicated to remote servers, which I just did last year. I am starting to move services from a long-time static server to a scalable docker based foundation.

Will follow up on this section soon ….

Enjoy coding ….

THE PREMISE

A fullstack developer is a software engineer who has expertise in all layers of a web application’s stack. This includes both the frontend, which is the user-facing part of the application, and the backend, which is the server-side portion of the application.

THE ROAD TO …

To become a fullstack developer, one must have a solid understanding of a wide range of technologies. This includes proficiency in at least one programming language, such as JavaScript or Python, as well as knowledge of databases, server infrastructure, and web development frameworks.

One of the key benefits of being a fullstack developer is that they can work on any part of a web application, from the design and user experience to the underlying server-side logic. This means that they can take on a wide range of roles and responsibilities, from designing the user interface to implementing complex business logic.

Fullstack developers are also in high demand, as the skills they possess are highly sought-after in the job market. This is because companies are increasingly looking for engineers who can work on both the frontend and backend of their web applications, rather than hiring separate teams for each layer of the stack.

In addition to their technical skills, fullstack developers must also have strong problem-solving and communication skills. This is because they often work on teams and need to be able to collaborate effectively with other developers, as well as communicate their ideas to non-technical stakeholders.

NEVER GETS BORING

Overall, being a fullstack developer is a challenging but rewarding career path. It requires a diverse set of skills and the ability to adapt to new technologies, but the rewards include the opportunity to work on a wide range of projects and the satisfaction of seeing your work come to life in the form of a web application.

Enjoy coding …