This document provides an overview of version control systems and how to use Git. It discusses local and centralized version control before focusing on distributed version control with Git. The document then demonstrates how to install Git and SourceTree, create a GitHub account, add and commit files to a repository, pull and push changes, view history and more. It also covers advanced Git topics like branching, merging, and divergent histories.
The document discusses Git branching and the GitFlow workflow model. GitFlow uses two main branches - the master branch for official releases and the develop branch for integrating features. New features each have their own branches off develop. When complete, features are merged back into develop. Release branches are made from develop to prepare releases without new features. Releases are merged to both master and develop. Hotfix branches directly off master are for quick production fixes and also merged to both branches.
This document provides an overview and summary of a session on Git basics and workflow:
- The session plan outlines basics of version control, introduction to centralized and distributed version control systems, basics of Git, and introduction to Gitflow workflow.
- It discusses why version control is needed and describes local, centralized, and distributed version control systems such as Subversion and Git.
- Key Git concepts are defined including repository, cloning, adding, committing, pushing, pulling, merging, branches, and tags.
- Finally, the Gitflow workflow is presented, outlining main and supporting branches including features, releases, hotfixes and their naming conventions.
Hosting code online allows developers to securely store code, experiment safely without risk of damage, and gain feedback through collaboration. Services like BitBucket offer free hosting of Git and Mercurial projects, including wikis, issue tracking, and pull requests. BitBucket is written in Python using the Django framework and provides similar functionality to GitHub for hosting Git repositories.
Git is a free and open-source distributed version control system created by Linus Torvalds in 2005. It allows tracking changes to files and coordinating work among teams of developers. GitHub is a web-based hosting service for Git repositories that offers both free and paid plans. Git uses a decentralized model with local repositories that can be synced and shared, supporting thousands of parallel branches. It provides commands for cloning repositories, tracking changes, committing updates, and merging branches.
Bitbucket is a web-based hosting service that provides unlimited private repositories for up to 5 developers using Mercurial or Git revision control systems. It allows teams to work collaboratively through features like pull requests, code reviews, and inline comments directly in source code. Bitbucket also provides visibility into repository and commit history through tools to compare changes across branches, files, and forks.
Version control systems allow users to track changes to files over time, enabling retrieval of specific file versions. Centralized systems store version history on a central server, while distributed systems give each user a local copy of the full version history. Key aspects of version control include keeping track of changes, reverting files to previous versions, and easily incorporating others' work. Popular systems include Git, a distributed version control system, and SVN, a centralized system. GitHub is a code hosting platform that utilizes Git for collaboration and version control through features like repositories, branches, commits, and pull requests.
Bitbucket is a code hosting service that supports Git and Mercurial version control systems. It offers free accounts and paid plans. Key features include pull requests, code review, two-factor authentication, Git LFS, documentation hosting, issue tracking, and static site hosting. The document then provides instructions on setting up SSH keys, cloning repositories, common Git commands like add, commit, push, pull, checkout and operations like merging, reverting, deleting branches. It concludes with some frequently asked interview questions about Git and Bitbucket.
Git branching allows developers to work independently in parallel on different parts of the same project. Branches are pointers to commits and don't change the repository when created. Git checkout switches between branches, commits, and files. Git revert undoes changes by creating a new commit, while reset removes commits. Common workflows include centralize, feature branch, and Gitflow models, with the latter having main branches of master and develop plus supporting feature, release, and hotfix branches.
I gave this presentation at the Israeli ALM User Group.
This is part 2 of a 2 part series on Git and Git workflows and introduces the most common Git workflows used by individuals, small co-located teams, large organizations, and distributed groups.
This document provides an overview of Git and BitBucket. It begins with an introduction to source code management systems and describes Git as a decentralized version control system. Popular open source projects that use Git and web-based hosting services are listed. The document then covers Git commands and workflows, including initializing a repository, staging changes, committing, branching and merging. BitBucket is introduced as a code hosting platform that supports both Git and Mercurial repositories.
Git allows developers to work on independent branches that can be merged together later. The git branch command creates and manages branches. Git checkout selects a branch to work on and updates the working directory files. Merging uses the git merge command to integrate the history of branches, using either a fast-forward or 3-way merge depending on the branch histories. Merging may result in conflicts that must be manually resolved before completing the merge commit.
The document discusses Git and GitHub workflows. It begins by describing Git as a distributed version control system designed for speed, integrity and distributed workflows. It then explains Git's branching model including features, releases, hotfixes and how GitHub is used to collaborate through forking repositories and pull requests.
Getting Started with GitHub is a tech talk that introduces GitHub and Git. It discusses what GitHub and Git are, the differences between them, and how to get started using them. The talk covers installing Git, creating GitHub and Git accounts, initializing and cloning repositories, contributing to open source projects, and resources for learning more. Integrated development environments that work with Git and GitHub are also presented.
The document describes several Git branch workflows including centralized, feature branch, and Gitflow workflows. The Gitflow workflow uses main branches like master, development, feature, release, and hotfix branches to isolate features, control releases, and allow for sustainability. It provides a structured workflow for teams using branches for features, releases, and hotfixes.
Integrating Git, Gerrit and Jenkins/Hudson with MylynSascha Scholz
This document discusses integrating Git, Gerrit, and Jenkins/Hudson with the Mylyn task-focused interface in Eclipse. It describes each tool and common workflows. Mylyn allows viewing only tasks relevant to the developer's current context to avoid information overload. The document demonstrates integrating these tools with Mylyn and encourages contributing to related open source projects.
GitHub is a platform for developers to collaborate on code and software projects. Founded in 2008, it now has over 50 million users and 44 million code repositories created in 2019. In 2018, Microsoft acquired GitHub for $7.5 billion. GitHub addresses common issues developers face with collaborating, deploying software, and sharing code. It provides version control, an enterprise marketplace, and tools for project managers of large codebases.
Git Series. Episode 2. Merge, Upstream Commands and TagsMikhail Melnik
There are two types of merges in Git: fast-forward and true merge. Fast-forward is the default type of merge. Fetch updates the local repository with changes from the upstream repository. Pull fetches changes and merges the current branch. Push publishes local branch changes to the upstream repository, performing an implicit fast-forward merge. Tags allow labeling specific commits, like releases.
Version control is an essential tool for software development that allows tracking changes to files, restoring previous versions, and collaborating through branches. Git is a popular version control system that allows initializing a local repository, cloning existing repositories from remote servers, committing file changes with messages, adding a remote origin such as GitHub, and pushing code to that remote origin to collaborate.
Version control systems allow users to track changes to files over time and recover previous versions of files. Repositories store project files and their revision history. Common version control tools include Git and Mercurial. Key terms include repository, fork, clone, commit, push, pull, and checkout, which allow users to make and manage changes locally and on remote servers. Version control is useful for software development and other collaborative projects.
Gerrit is a code review system that tightly integrates with Git. It provides a web-based user interface and API for reviewing changes, managing access control, and integrating with other tools like Jenkins. Key features include fast and easy code reviews, flexible integration options, and tools for managing projects, users, and access control. Gerrit supports code review workflows and allows configuring commit policies and change submission actions.
Do your users already know how to use Git? Of course they do. Git offers a great workflow, but scalability is a concern. In this talk explore benchmarks comparing the performance of Git and Helix DVCS. See how to use command aliases in Helix Versioning Engine 2016.1 to make Helix look like Git. What could be better than a version control system that works just like Git but doesn't buckle under the weight of your massive assets?
Hackaton for health 2015 - Sharing the Code we Makeesben1962
The document discusses using open source licensing and version control to share code created during a hackathon. It recommends using the Git version control system and hosting code on GitHub. A dual MIT and GPL2 license is suggested to maximize developer adoption. Git allows for cloning repositories, branching, merging, pushing and pulling changes. GitHub provides hosting and collaboration on code repositories.
Bitbucket is a hosting site for Git and Mercurial repositories that allows for effective collaboration without requiring a centralized server. While Git does not require a central server, it is good to have Bitbucket to host code repositories. Git uses a distributed version control system that allows developers to directly exchange changes and work independently of network access. Benefits of using Git with Bitbucket include free hosting for academic users, the ability to work offline or on planes, and fast branching and merging of code.
Bitbucket is a code hosting service that supports Git and Mercurial version control systems. It offers free accounts and paid plans. Key features include pull requests, code review, two-factor authentication, Git LFS, documentation hosting, issue tracking, and static site hosting. The document then provides instructions on setting up SSH keys, cloning repositories, common Git commands like add, commit, push, pull, checkout and operations like merging, reverting, deleting branches. It concludes with some frequently asked interview questions about Git and Bitbucket.
Git branching allows developers to work independently in parallel on different parts of the same project. Branches are pointers to commits and don't change the repository when created. Git checkout switches between branches, commits, and files. Git revert undoes changes by creating a new commit, while reset removes commits. Common workflows include centralize, feature branch, and Gitflow models, with the latter having main branches of master and develop plus supporting feature, release, and hotfix branches.
I gave this presentation at the Israeli ALM User Group.
This is part 2 of a 2 part series on Git and Git workflows and introduces the most common Git workflows used by individuals, small co-located teams, large organizations, and distributed groups.
This document provides an overview of Git and BitBucket. It begins with an introduction to source code management systems and describes Git as a decentralized version control system. Popular open source projects that use Git and web-based hosting services are listed. The document then covers Git commands and workflows, including initializing a repository, staging changes, committing, branching and merging. BitBucket is introduced as a code hosting platform that supports both Git and Mercurial repositories.
Git allows developers to work on independent branches that can be merged together later. The git branch command creates and manages branches. Git checkout selects a branch to work on and updates the working directory files. Merging uses the git merge command to integrate the history of branches, using either a fast-forward or 3-way merge depending on the branch histories. Merging may result in conflicts that must be manually resolved before completing the merge commit.
The document discusses Git and GitHub workflows. It begins by describing Git as a distributed version control system designed for speed, integrity and distributed workflows. It then explains Git's branching model including features, releases, hotfixes and how GitHub is used to collaborate through forking repositories and pull requests.
Getting Started with GitHub is a tech talk that introduces GitHub and Git. It discusses what GitHub and Git are, the differences between them, and how to get started using them. The talk covers installing Git, creating GitHub and Git accounts, initializing and cloning repositories, contributing to open source projects, and resources for learning more. Integrated development environments that work with Git and GitHub are also presented.
The document describes several Git branch workflows including centralized, feature branch, and Gitflow workflows. The Gitflow workflow uses main branches like master, development, feature, release, and hotfix branches to isolate features, control releases, and allow for sustainability. It provides a structured workflow for teams using branches for features, releases, and hotfixes.
Integrating Git, Gerrit and Jenkins/Hudson with MylynSascha Scholz
This document discusses integrating Git, Gerrit, and Jenkins/Hudson with the Mylyn task-focused interface in Eclipse. It describes each tool and common workflows. Mylyn allows viewing only tasks relevant to the developer's current context to avoid information overload. The document demonstrates integrating these tools with Mylyn and encourages contributing to related open source projects.
GitHub is a platform for developers to collaborate on code and software projects. Founded in 2008, it now has over 50 million users and 44 million code repositories created in 2019. In 2018, Microsoft acquired GitHub for $7.5 billion. GitHub addresses common issues developers face with collaborating, deploying software, and sharing code. It provides version control, an enterprise marketplace, and tools for project managers of large codebases.
Git Series. Episode 2. Merge, Upstream Commands and TagsMikhail Melnik
There are two types of merges in Git: fast-forward and true merge. Fast-forward is the default type of merge. Fetch updates the local repository with changes from the upstream repository. Pull fetches changes and merges the current branch. Push publishes local branch changes to the upstream repository, performing an implicit fast-forward merge. Tags allow labeling specific commits, like releases.
Version control is an essential tool for software development that allows tracking changes to files, restoring previous versions, and collaborating through branches. Git is a popular version control system that allows initializing a local repository, cloning existing repositories from remote servers, committing file changes with messages, adding a remote origin such as GitHub, and pushing code to that remote origin to collaborate.
Version control systems allow users to track changes to files over time and recover previous versions of files. Repositories store project files and their revision history. Common version control tools include Git and Mercurial. Key terms include repository, fork, clone, commit, push, pull, and checkout, which allow users to make and manage changes locally and on remote servers. Version control is useful for software development and other collaborative projects.
Gerrit is a code review system that tightly integrates with Git. It provides a web-based user interface and API for reviewing changes, managing access control, and integrating with other tools like Jenkins. Key features include fast and easy code reviews, flexible integration options, and tools for managing projects, users, and access control. Gerrit supports code review workflows and allows configuring commit policies and change submission actions.
Do your users already know how to use Git? Of course they do. Git offers a great workflow, but scalability is a concern. In this talk explore benchmarks comparing the performance of Git and Helix DVCS. See how to use command aliases in Helix Versioning Engine 2016.1 to make Helix look like Git. What could be better than a version control system that works just like Git but doesn't buckle under the weight of your massive assets?
Hackaton for health 2015 - Sharing the Code we Makeesben1962
The document discusses using open source licensing and version control to share code created during a hackathon. It recommends using the Git version control system and hosting code on GitHub. A dual MIT and GPL2 license is suggested to maximize developer adoption. Git allows for cloning repositories, branching, merging, pushing and pulling changes. GitHub provides hosting and collaboration on code repositories.
Bitbucket is a hosting site for Git and Mercurial repositories that allows for effective collaboration without requiring a centralized server. While Git does not require a central server, it is good to have Bitbucket to host code repositories. Git uses a distributed version control system that allows developers to directly exchange changes and work independently of network access. Benefits of using Git with Bitbucket include free hosting for academic users, the ability to work offline or on planes, and fast branching and merging of code.
When developing games, each and every one of us should strive for perfection. At my desk, I have put up a sign saying “What would Blizzard do?” This talk is about motivation, excitement and learning how to dissect other games in order to learn from each other.
Game Programming 04 - Style & Design PrinciplesNick Pruehs
Chapter 4 of the lecture Game Programming taught at HAW Hamburg.
Introduction to naming conventions, type and member design, exception design and common .NET interfaces.
Game Programming 07 - Procedural Content GenerationNick Pruehs
Chapter 7 of the lecture Game Programming taught at HAW Hamburg.
Introduction to procedural content generation and its implication for the game design.
Game Programming AI
This document discusses behavior trees, an approach to game AI architecture. Behavior trees split AI decision logic from actions and organize them into a directed tree structure. The root node executes logic which reports back as success, running, or failure. This passes control to child nodes. Key nodes include sequences which run children in order until failure, and selectors which run the first successful child. Behavior trees are modular, reusable, and can be data-driven to design AI visually without code. They have been successfully used in many games due to their flexibility and performance.
Game Programming 02 - Component-Based Entity SystemsNick Pruehs
The document discusses component-based entity systems for building game object models. It outlines some drawbacks of inheritance-based approaches, such as deep class hierarchies leading to call order issues. It then introduces an aggregation-based approach using entities, components, and systems. Entities are simple IDs, with all data and logic contained in independent, reusable components. Systems operate on components to implement game functionality without coupling. This approach has advantages like easy extensibility and multi-threading. Blueprints and attribute tables are discussed as ways to configure entities using components and data at runtime.
Chapter 11 of the lecture Game Programming taught at HAW Hamburg.
Introduction to kinematics and dynamics, numerical integration, rigid bodies, collision detection and resolving.
This document discusses challenges in game development based on Nick Prühs' experience. It covers the diversity of game types and roles involved in development. It also discusses art pipelines, game engines, physics examples, and lessons learned from developing the "Campus Buddies" social game. Key lessons include expecting API changes, using existing solutions, making testing and deployment easy, mocking network interactions, standardizing code style, using a feature-based project structure, prioritizing collaboration, listening to players, implementing tutorials, considering 2D animation, and addressing challenges with localization.
Scrum - but... Agile Game Development in Small TeamsNick Pruehs
The document discusses Scrum, an agile framework for managing product development. It describes Scrum roles like the Product Owner, Development Team, and Scrum Master. The Scrum process involves sprints, daily stand-ups, sprint planning and reviews. It also introduces an example game development team called Astro City working with Scrum.
Game Programming 05 - Development ToolsNick Pruehs
Chapter 5 of the lecture Game Programming taught at HAW Hamburg.
Introduction to continuous integration, API documentation generation, analytics, static code analysis and crash dump analysis.
Game Programming 06 - Automated TestingNick Pruehs
Chapter 6 of the lecture Game Programming taught at HAW Hamburg.
Introduction to unit testing, integration testing, mocking and test-driven development in games.
Developing applications and games in Unity engine - Matej Jariabka, Rudolf Ka...gamifi.cc
gamifi.cc team - Rudolf & Matej presented on local tech/mobile/games conference experience with Unity & game development in general.
We also list some other tools that might help you. First part covers business tips & reasons to use Unity.
The design and rules of games constantly change during development, invalidating your carefully engineered software from day to day. Entity systems are a great approach for getting rid of the many drawbacks of inheritance-based game models like the “diamond of death”, moving on to a much more flexible aggregation-based model which has been popular since Gas Powered Games’ Dungeon Siege.
This document discusses component-based entity systems for game development. It describes the disadvantages of inheritance-based models, including deep class hierarchies that are difficult to develop, maintain and extend. It then introduces an aggregation-based approach using entities composed of independent components. This approach favors composition over inheritance and improves extensibility. Finally, it describes entity system architectures where components contain data and systems contain logic, improving performance, serialization and other capabilities. Overall it advocates for entity systems as an easier way to build, maintain and extend game object models.
Git is a distributed version-control system for tracking changes in source code during software development.
GitFlow is a branching model for Git which is very well suited to collaboration and scaling the development team.
Learn Git - For Beginners and Intermediate levelsGorav Singal
Learn Git Basics and Fundamentals.
This is a perfect start for beginners and at Intermediate levels.
This contains a few commands and fundamentals about Git. Topics ranging from basic commands to creating branches, stashes. How to revert your code, how to tag your releases.
It also covers a few branching strategies.
Git flow is a Git workflow model designed to support parallel development and release management. It defines strict branching strategies for features, releases, and hotfixes. The main branches are master (production ready code) and develop (integration of features for next release). Feature, release, and hotfix branches are used temporarily to develop and test new features, prepare releases, and fix bugs in production respectively before being merged back to develop and master.
GitFlow is a branching model for managing code development in Git repositories. It defines main branches for production (master) and development (develop), as well as supporting branches for features, releases, and hotfixes. Feature branches are used to develop new functionality and are merged into develop, while release branches are used to prepare code for a release and are merged into both develop and master. Hotfix branches address issues in production and are also merged into both develop and master. The model aims to facilitate parallel development, collaboration, and release staging while supporting emergency fixes.
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
The document discusses adopting a new Git-based workflow to address problems with code quality, releases, and Kanban effectiveness. It outlines the benefits of the new workflow, including seamless releases, predictable feature flow, more efficient QA, freedom to experiment, and better tools. It then provides an overview of key Git concepts like branches and independence, differences from Subversion, and the details of the new AE workflow using feature, release, hotfix and historical branches governed by pull requests and code reviews.
[2015/2016] Collaborative software development with GitIvano Malavolta
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
This document provides an introduction to Git and GitFlow workflows. It describes Git as a distributed version control system and compares it to SVN. Key Git concepts and commands are explained such as branches, commits, remote repositories, and tools like SourceTree. The document outlines simple and GitFlow workflows suitable for different team sizes and project types. Branch naming conventions are also defined.
This document provides an overview of Git and how to use it. It discusses version control systems and how distributed version control systems like Git work. It explains how Git was created by Linus Torvalds for Linux kernel development and why it gained popularity due to its speed and efficiency. The document then covers Git basics like setup, commits, branches and workflows. It also introduces tools for using Git in Eclipse and GitLab for code hosting and collaboration.
The document discusses the Gitflow model for managing source code with Git. It describes the main branches - master, which reflects production-ready code; and develop, which reflects the latest development changes. Feature, release, and hotfix branches are used for supporting parallel development. Feature branches work on new features and merge back into develop. Release branches prepare releases and merge back into develop and master. Hotfix branches address critical production bugs and also merge back into develop and master.
Gitflow - Branching and Merging Flow for GitMaulik Shah
Gitflow is a branching model for Git that uses branches to isolate work that is in progress from completed work. It uses main branches called master, develop and supporting branches like feature, release and hotfix branches. The develop branch is used for ongoing development work while feature branches are used for new features. Release branches are used to prepare releases and hotfix branches are for urgent fixes to production. The model aims to provide a structured workflow and clear separation of changes for easy project management and code collaboration.
Gitflow - Branching and Merging Flow for GitMaulik Shah
Gitflow is a branching model for Git that utilizes develop, master, feature, release, and hotfix branches. The develop branch is for current development and the master branch stores the official release history. Feature branches work on new features off develop before being merged in. Release branches prepare releases and hotfix branches address issues in live master branches. By separating changes and strictly merging branches, it allows for easy tracking of features and preparation of releases.
This document provides an introduction to Git and common branching models. It begins by defining Git as a distributed revision control system created by Linus Torvalds for Linux kernel development. It then discusses why Git is useful, how it is distributed and optimized for merging, and some key Git concepts like commits, branches, and the local repository structure. The document also outlines common Git commands, workflows like centralized, feature branching, Gitflow and GitHub flow, and how pull requests enable collaboration. It concludes by listing additional Git learning resources.
Git is a distributed version control system that allows for non-linear development. It uses a local repository that tracks snapshots of files rather than file differences. The document discusses how to configure Git, create repositories, make commits, view commit histories, work with branches, merge branches, resolve conflicts, work with remote repositories, and leverage tools like Git stash and Git hosting platforms. Popular branching strategies like Git flow are also covered that establish best practices for team collaboration.
I was inspired to use GIT much more reliably after reading about Git Flow. I got a little lost until I read "Why Aren't You Using Git Flow?". I decided to do a presentation for OrlandoPHP to try and share my enthusiasm with them.
Thank you to Vincent Driessen and Jeff Kreeftmeijer for being my inspiration.
Real World Git Workflows - EclipseCon Europe 2013Nicola Paolucci
While Git is established in the Open Source world, we're only just seeing the emergence of DVCS in our daily jobs. How can DVCS enable us to collaborate in a traditional "enterprise" setting.
Atlassian has fully embraced DVCS and has started to build features into their suite of products to take advantage of this new and exciting paradigm.
The talk will dive deep into the successful git work flows used inside Atlassian. There is no size fit all for this topic and various effective processes can be devised and are in active used at our company.
The talk will also cover tools and techniques used to reduce friction during the development of features and bugfix releases like for example pre/post receive hooks and automatic merges.
Outline:
* Software Development Practices And DVCS
- Branch vs fork (single server/repo, vs forks)
- Code quality (pre-commit hook, pre-checkout hook, pre-receive, see below)
* Awesome Git Workflows Used Internally At Atlassian
- Continuous Delivery Branching model
- Product Releases Branching model
* Streamlining Your Git Process
- merge vs rebase
- Rebase as cleanup
- Meaningful merges
- hooks
. hooks in general
. Post-checkout checks
. pre-commit hooks
. Great Pre-receive and Post-receive hooks
- Automatic merges
* How does CI change when you move to git?
This document provides an overview of Git and common Git workflows. It defines Git as an open source distributed version control system. It explains basic Git commands like init, add, commit, status, branch, merge, checkout, push and pull. It introduces different Git workflows like the solo workflow for small teams, feature branches for multiple developers, and Gitflow which is a popular branching model with development, feature, release and hotfix branches. Finally, it encourages selecting or customizing a workflow that fits your needs.
Git and Git Workflow Models as Catalysts of Software DevelopmentLemi Orhan Ergin
This is the slides of my latest talk in DevFest Istanbul 2013 which is organized by Google Developers Group Istanbul. The content mainly has 3 sections. Git branching model in theory, creating a feature by git commands and git best practices.
This document provides an overview of revision control systems and compares centralized (e.g. SVN) and distributed (e.g. Git) systems. It discusses the benefits of Git such as independence from network state, fast performance due to locality, and smaller repository sizes. Basic Git concepts and commands are explained, and different Git workflows including "squash" and branching models are described to provide clarity and workflow control for teams.
The document discusses Git workflows, comparing centralized and feature branch workflows. It then describes Vincent Driessen's branching model which uses two main branches (master and develop) and three supporting branch types (feature, release, hotfix). The master branch is stable and used for production, while develop is integrated features. Feature branches branch off develop for new work, and release branches prepare releases by merging to develop and master. Hotfix branches fix production issues. The model aims to support collaboration while keeping branches stable. Special cases in applying the model are also addressed.
Sixth chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Understanding how to drive final character animation poses through animation blueprints and blend spaces
- Learning how to configure, combine and play sound assets
- Understanding the modular nature of particle effects in Unreal Engine
Unreal Engine Basics 05 - User InterfaceNick Pruehs
Fifth chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Understanding the difference between Unreal’s UI frameworks Slate and UMG
- Learning how to create basic and complex user interfaces in UMG
- Learning how to build a simple main menu
Forth chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Getting familiar with behavior trees in general
- Learning how to set up and use behavior trees in Unreal Engine
- Learning about the very basics of the Unreal Engine navigation system
Third chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Learning how to expose class fields and functions to blueprints
- Writing basic Unreal gameplay code, such as spawning actors, accessing components and listening for events
- Getting familiar with gameplay concepts in the context of Unreal, such as damage and collision
Second chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Getting familiar with the Unreal Level Editor
- Learning how to bind and handle player keyboard and mouse input
- Understanding character movement properties and functions
Unreal Engine Basics 01 - Game FrameworkNick Pruehs
First chapter of the lecture Unreal Engine Basics taught at SAE Institute Hamburg.
- Getting familiar with Unreal Engine as a technology, framework and toolset
- Learning the basics about writing Unreal Engine C++ code
Designing an actor model game architecture with PonyNick Pruehs
Introduction to Pony, actor model, reference capabilities and making concurrent DirectX games with Pony.
Presented at MVP Fusion #3.
http://mvpfusion.azurewebsites.net/
Tool Development 10 - MVVM, Tool ChainsNick Pruehs
Chapter 10 of the lecture Tool Development taught at SAE Institute Hamburg.
Introduction to the MVVM pattern and advanced data binding concepts such as data conversion and data validation.
Dark Dynamism: drones, dark factories and deurbanizationJakub Šimek
Startup villages are the next frontier on the road to network states. This book aims to serve as a practical guide to bootstrap a desired future that is both definite and optimistic, to quote Peter Thiel’s framework.
Dark Dynamism is my second book, a kind of sequel to Bespoke Balajisms I published on Kindle in 2024. The first book was about 90 ideas of Balaji Srinivasan and 10 of my own concepts, I built on top of his thinking.
In Dark Dynamism, I focus on my ideas I played with over the last 8 years, inspired by Balaji Srinivasan, Alexander Bard and many people from the Game B and IDW scenes.
Crazy Incentives and How They Kill Security. How Do You Turn the Wheel?Christian Folini
Everybody is driven by incentives. Good incentives persuade us to do the right thing and patch our servers. Bad incentives make us eat unhealthy food and follow stupid security practices.
There is a huge resource problem in IT, especially in the IT security industry. Therefore, you would expect people to pay attention to the existing incentives and the ones they create with their budget allocation, their awareness training, their security reports, etc.
But reality paints a different picture: Bad incentives all around! We see insane security practices eating valuable time and online training annoying corporate users.
But it's even worse. I've come across incentives that lure companies into creating bad products, and I've seen companies create products that incentivize their customers to waste their time.
It takes people like you and me to say "NO" and stand up for real security!
Building a research repository that works by Clare CadyUXPA Boston
Are you constantly answering, "Hey, have we done any research on...?" It’s a familiar question for UX professionals and researchers, and the answer often involves sifting through years of archives or risking lost insights due to team turnover.
Join a deep dive into building a UX research repository that not only stores your data but makes it accessible, actionable, and sustainable. Learn how our UX research team tackled years of disparate data by leveraging an AI tool to create a centralized, searchable repository that serves the entire organization.
This session will guide you through tool selection, safeguarding intellectual property, training AI models to deliver accurate and actionable results, and empowering your team to confidently use this tool. Are you ready to transform your UX research process? Attend this session and take the first step toward developing a UX repository that empowers your team and strengthens design outcomes across your organization.
React Native for Business Solutions: Building Scalable Apps for SuccessAmelia Swank
See how we used React Native to build a scalable mobile app from concept to production. Learn about the benefits of React Native development.
for more info : https://www.atoallinks.com/2025/react-native-developers-turned-concept-into-scalable-solution/
Building Connected Agents: An Overview of Google's ADK and A2A ProtocolSuresh Peiris
Google's Agent Development Kit (ADK) provides a framework for building AI agents, including complex multi-agent systems. It offers tools for development, deployment, and orchestration.
Complementing this, the Agent2Agent (A2A) protocol is an open standard by Google that enables these AI agents, even if from different developers or frameworks, to communicate and collaborate effectively. A2A allows agents to discover each other's capabilities and work together on tasks.
In essence, ADK helps create the agents, and A2A provides the common language for these connected agents to interact and form more powerful, interoperable AI solutions.
Join us for the Multi-Stakeholder Consultation Program on the Implementation of Digital Nepal Framework (DNF) 2.0 and the Way Forward, a high-level workshop designed to foster inclusive dialogue, strategic collaboration, and actionable insights among key ICT stakeholders in Nepal. This national-level program brings together representatives from government bodies, private sector organizations, academia, civil society, and international development partners to discuss the roadmap, challenges, and opportunities in implementing DNF 2.0. With a focus on digital governance, data sovereignty, public-private partnerships, startup ecosystem development, and inclusive digital transformation, the workshop aims to build a shared vision for Nepal’s digital future. The event will feature expert presentations, panel discussions, and policy recommendations, setting the stage for unified action and sustained momentum in Nepal’s digital journey.
Google DeepMind’s New AI Coding Agent AlphaEvolve.pdfderrickjswork
In a landmark announcement, Google DeepMind has launched AlphaEvolve, a next-generation autonomous AI coding agent that pushes the boundaries of what artificial intelligence can achieve in software development. Drawing upon its legacy of AI breakthroughs like AlphaGo, AlphaFold and AlphaZero, DeepMind has introduced a system designed to revolutionize the entire programming lifecycle from code creation and debugging to performance optimization and deployment.
UX for Data Engineers and Analysts-Designing User-Friendly Dashboards for Non...UXPA Boston
Data dashboards are powerful tools for decision-making, but for non-technical users—such as doctors, administrators, and executives—they can often be overwhelming. A well-designed dashboard should simplify complex data, highlight key insights, and support informed decision-making without requiring advanced analytics skills.
This session will explore the principles of user-friendly dashboard design, focusing on:
-Simplifying complex data for clarity
-Using effective data visualization techniques
-Designing for accessibility and usability
-Leveraging AI for automated insights
-Real-world case studies
By the end of this session, attendees will learn how to create dashboards that empower users, reduce cognitive overload, and drive better decisions.
Title: Securing Agentic AI: Infrastructure Strategies for the Brains Behind the Bots
As AI systems evolve toward greater autonomy, the emergence of Agentic AI—AI that can reason, plan, recall, and interact with external tools—presents both transformative potential and critical security risks.
This presentation explores:
> What Agentic AI is and how it operates (perceives → reasons → acts)
> Real-world enterprise use cases: enterprise co-pilots, DevOps automation, multi-agent orchestration, and decision-making support
> Key risks based on the OWASP Agentic AI Threat Model, including memory poisoning, tool misuse, privilege compromise, cascading hallucinations, and rogue agents
> Infrastructure challenges unique to Agentic AI: unbounded tool access, AI identity spoofing, untraceable decision logic, persistent memory surfaces, and human-in-the-loop fatigue
> Reference architectures for single-agent and multi-agent systems
> Mitigation strategies aligned with the OWASP Agentic AI Security Playbooks, covering: reasoning traceability, memory protection, secure tool execution, RBAC, HITL protection, and multi-agent trust enforcement
> Future-proofing infrastructure with observability, agent isolation, Zero Trust, and agent-specific threat modeling in the SDLC
> Call to action: enforce memory hygiene, integrate red teaming, apply Zero Trust principles, and proactively govern AI behavior
Presented at the Indonesia Cloud & Datacenter Convention (IDCDC) 2025, this session offers actionable guidance for building secure and trustworthy infrastructure to support the next generation of autonomous, tool-using AI agents.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Engaging interactive session at the Carolina TEC Conference—had a great time presenting the intersection of AI and hybrid cloud, and discussing the exciting momentum the #HashiCorp acquisition brings to #IBM."
OpenAI Just Announced Codex: A cloud engineering agent that excels in handlin...SOFTTECHHUB
The world of software development is constantly evolving. New languages, frameworks, and tools appear at a rapid pace, all aiming to help engineers build better software, faster. But what if there was a tool that could act as a true partner in the coding process, understanding your goals and helping you achieve them more efficiently? OpenAI has introduced something that aims to do just that.
In-App Guidance_ Save Enterprises Millions in Training & IT Costs.pptxaptyai
Discover how in-app guidance empowers employees, streamlines onboarding, and reduces IT support needs-helping enterprises save millions on training and support costs while boosting productivity.
This guide highlights the best 10 free AI character chat platforms available today, covering a range of options from emotionally intelligent companions to adult-focused AI chats. Each platform brings something unique—whether it's romantic interactions, fantasy roleplay, or explicit content—tailored to different user preferences. From Soulmaite’s personalized 18+ characters and Sugarlab AI’s NSFW tools, to creative storytelling in AI Dungeon and visual chats in Dreamily, this list offers a diverse mix of experiences. Whether you're seeking connection, entertainment, or adult fantasy, these AI platforms provide a private and customizable way to engage with virtual characters for free.
2. Objectives
• To get an overview of version control systems in
general
• To learn how to use Git in a production
environment
• To understand advanced concepts of branching and
merging
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31. GitFlow
• Originally developed by Vincent Driessen
• Assigns very specific roles to different branches,
and defines how and when they should interact
• Allows merging and branching to be part of your
daily workflow
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32. Main Branches
• master
• origin/master HEAD is always ready for production
• develop
• origin/develop HEAD always contains the latest
delivered development changes
• Nightly builds are created from this branch
• Whenever considered stable, merged back into master
and tagged
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34. Supporting branches
• Feature branches
• Allow parallel development
• Make tracking features easier
• Release branches
• Help preparing for releases
• Hotfix branches
• Enable you to quickly fix live problems
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35. Feature Branches
• Branch from and merge back into develop
• Used for developing new features
• Exists while the feature is in development
• Will eventually be
• Merged back, to include the new feature in the next
release, or
• Discarded, if the feature should not be included
• Never directly interact with the master branch
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37. Hint
Merging with the “no fast-forward”
option causes the merge to always
create a new commit. This makes
tracking of your branches a lot
easier!
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38. Release Branches
• Branch from develop, and merge back into develop
and master
• Created when all desired features for the next
release have been merged back into develop
• Supports preparation of a new production release
• Setting up meta-data such as version numbers or
database connections
• Generating API documentation
• Features for the next release can already merge
back into develop
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40. Hint
Whenever changes are merged
back into master, this is a new
production release by definition!
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41. Hotfix Branches
• Branch from master, and merge back into develop
and master
• Created when a critical bug in a production release
has to be resolved immediately
• Other team members can continue working on new
features or the next release
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43. Hint
Unlike the two main branches, all
supporting branches will be merged
and removed eventually!
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44. References
• Chacon, Straub. Pro Git. 2nd Edition. Apress,
December 24, 2014. http://www.git-scm.com/doc
• Vincent Driessen. A successful Git branchin model.
http://nvie.com/posts/a-successful-git-branching-
model/, January 5, 2010.
• Atlassian. Gitflow Workflow.
https://www.atlassian.com/git/workflows#!workflo
w-gitflow, June 2014.
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45. Thank you for your attention!
Contact
Mail
[email protected]
Blog
http://www.npruehs.de
Twitter
@npruehs
Github
https://github.com/npruehs
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