Master Git in 10 Days: Day 1, Initialize Your First Repository

Most developers use Git daily… But 90% don’t know even 30% of what Git can actually do 😶 I came across a cheat sheet of 100+ Git commands — and honestly, this is a game changer 🚀 Here’s what most people are missing: 🔹 Basics (everyone knows… right?) - git add / commit / push But ask them about git diff / git log / git reset → silence 👀 🔹 Branching & workflows - git checkout -b - git merge vs rebase (interview favorite 🔥) 🔹 Real productivity boosters - git stash (lifesaver when switching tasks) - git cherry-pick (underrated AF) 🔹 Advanced (where pros stand out) - git rebase -i (clean history like a pro) - git bisect (find bugs faster ⚡) - git hooks (automation level 💯) 💡 Reality check: You don’t need to memorize 100 commands. You need to understand when to use which command. That’s what makes you a real developer. If you're in Tech / Data / DevOps — This is something you should definitely know. I’ll break this down into easy + real-world examples soon 👇 Comment “GIT” and I’ll share the full cheat sheet 📂 #Git #Developers #DataEngineering #DevOps #LearnGit #TechCareers #Coding #SoftwareDevelopment #Data

Sometimes I talk about bleeding-edge tools and techniques. And some days I nerd out on Git. Git is an essential skill for software engineers and data engineers alike. If you write code, you need version control and an ability to share your code for collaboration. Git solves these problems easily on your local machine. GitHub provides a remote repository option for Git. As with any command line tool, though, Git has a number of commands and a structure which may not be immediately understood. Thanks to ByteByteGo, though, we have a straightforward reference to not only understand commands but how they relate to the wider ecosystem of Git. Instructor's tip: worry less about the individual commands. Worry more about the workflow: Write code in your working directory, add those changes to a staging area, commit those changes to make them permanent in your local repository, and push them to a remote repository if needed. Understand what you are doing and why. Learn the how next, and Google whatever commands you forget. What was the first project you ever managed in Git? #softwareengineer #dataengineer #git #github

🚀 Why I Swapped the "Butler" for "Actions": Moving from Jenkins to GitHub Actions For years, Jenkins was the undisputed king of CI/CD. We all have seen the "Butler" managing our builds. But as I’ve been scaling my Playwright automation framework, I realized I was spending more time maintaining my CI server than actually looking into other things. That’s when I made the switch to GitHub Actions. Here’s why it’s been a game-changer for my workflow: 1. Zero Infrastructure "Babysitting" 🛠️ With Jenkins, I had to manage the server, handle updates, and pray that a plugin didn't break my entire pipeline. With GitHub Actions, the infrastructure is managed. It’s serverless. I push my code, and GitHub provides the runner. Period. 2. Context is King 👑 Everything lives in one place. My pull requests, and my test results are all under the same roof. When a Playwright script fails, I don't have to jump to a separate Jenkins dashboard—I see the failure right in the PR. 3. YAML Simplicity vs. Groovy Complexity 📝 Writing a Jenkins file in Groovy often felt like a chore. GitHub Actions uses simple YAML configuration. It’s readable, version-controlled, and highly modular. 4. Native Playwright Integration 🎭 Playwright and GitHub Actions are a match made in heaven. Using the official playwright-github-action, I can easily set up sharding (running tests in parallel across multiple machines) and upload HTML trace reports as artifacts with just a few lines of code. 💡 The Result? I’m shipping code faster, my feedback loop is tighter, and I’ve reclaimed hours of "DevOps maintenance" time. Jenkins is powerful, but for modern, cloud-native testing, GitHub Actions is simply more efficient. Are you still team Jenkins, or have you made the move to GitHub Actions? #Playwright #CICD #GitHubActions #Jenkins #SoftwareTesting #Automation #DevOps #QA

Most developers using GitHub every day still can't explain what a branch actually does. They use the command. They follow the process. But the mental model is fuzzy. Here's the clear version. **What a branch is:** A branch is an isolated copy of your codebase where you can work on changes without touching the main version. When you're done, you merge it back. That's it. But the implications are massive. **Why it matters:** **GitHub has 180M+ developers** and **230+ new repositories are created every minute** (Octoverse 2025). At that scale, parallel work without branches would be chaos. Every team member stepping on each other's code, every experiment risking the live product. Branches solve that coordination problem. **What the data says about how teams actually use them:** An empirical study of 2,923 GitHub projects found most teams use fewer than **5 active branches** at a time. The top three use cases: • Building new features • Fixing bugs • Testing ideas safely The same study found that using branches has a **positive effect on project productivity** — and more branches correlated with larger, more active projects. **The workflow in plain English:** 1. You create a branch from `main` (the stable version) 2. You make your changes in isolation 3. You open a pull request to merge it back 4. Someone reviews it, approves it, done Nothing in `main` changes until you decide it does. **My take:** Branches are the most underrated concept in modern software development. They're not just a Git feature — they're a coordination protocol. They let 10 engineers work in parallel on the same codebase without burning it down. **1 new developer joins GitHub every second** (Octoverse 2025). Most of them will use branches within their first week. But few will ever really understand them. That gap is worth closing. What's the branching concept that took you the longest to actually internalize? #GitHub #Git #SoftwareDevelopment #DeveloperTools #AI

This is so wrong.. and yet right. For years I've seen (and participated) in these discussions, just like Zachary Boland now gets lots of comments explaining to him the benefits of trunk-based development (TBD). My current state of mind regarding this, is that it's all a question about context: are you part of an organizational team or are you working with public folks (aka open-source)? These are the two primary contexts and if you look at those the whole branching discussion makes a lot more sense: - Github/open-source: If you did TBD there, anyone can just redefine your safety checks, insert backdoors and all sorts of nastiness. The foundational issue here is nothing technical, like branching strategies, at all - it's all about trust. You cannot trust each commit, so you don't want it to go into your production code unchecked. - Organizational team: You have a shared trust among these people who as a team are responsible for what they're building. In this context, you don't worry about them doing something nasty and instead can focus on reducing friction across their work. Hence, why TBD is far superior in this context. As long as I keep this distinction in mind, both sides of the argument make perfect sense for their respective context. And of course, that now gives you the option of mixing&matching - have a trusted team doing TBD, yet also allow branching PRs for those you trust less. Anyone doing this?

🚀 Day 42 of #90DaysOfDevOps – Understanding GitHub Actions Runners Today I explored how GitHub Actions executes CI/CD jobs using runners. Every workflow job needs a machine to run on, and GitHub provides two types: • GitHub-hosted runners (managed by GitHub) • Self-hosted runners (managed by you) 🔹 What I implemented today ✅ Created a workflow with 3 parallel jobs running on different operating systems: ubuntu-latest windows-latest macos-latest Each job printed: OS name Runner hostname Current user running the job This helped me understand how GitHub dynamically provisions different environments for CI pipelines. 🔹 Explored Pre-installed Tools On the ubuntu-latest runner, I checked versions of: Docker Python Node.js Git One key learning: GitHub-hosted runners already include many developer tools, which speeds up CI pipelines because we don't need to install everything manually. 🔹 Self-Hosted Runner Setup (The fun part) I registered a self-hosted runner to my GitHub repository and configured it on my machine. Then I created a workflow that: Printed the hostname of my machine Displayed the working directory Created a file during the workflow run And yes… the file actually appeared on my machine after the workflow finished. 🤯 This means the CI pipeline was running directly on my own hardware instead of GitHub’s infrastructure. 🔹 Added Runner Labels I also added a custom label to my runner and updated the workflow to target it. This is very useful when managing multiple self-hosted runners in larger environments. 🔹 Key Takeaways • GitHub-hosted runners Managed by GitHub Free with usage limits Many tools already pre-installed Great for quick CI jobs and testing across OS environments • Self-hosted runners Managed by you or your team Runs on your own machine or cloud VM Full control over installed tools and environment Useful for heavy builds, custom setups, or long-running jobs Running CI pipelines on my own machine was definitely a cool DevOps moment today. 🔧 #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham

12 Git Commands Every Developer Should Know Today I revised some of the most important Git commands that every developer should be comfortable using. Git is not just a tool — it’s a daily survival skill for developers, DevOps engineers, data professionals, and anyone working on real projects. 📌 Commands I revised: ✅ git init – Initialize a new repository ✅ git add – Stage changes ✅ git commit – Save changes with a message ✅ git push – Upload local changes to GitHub ✅ git pull – Get latest updates from remote ✅ git remote – Connect local repo to remote repo ✅ git branch – Create and manage branches ✅ git fetch – Download updates without merging ✅ git checkout – Switch branches ✅ git merge – Merge code from one branch to another ✅ git status – Check current repo state ✅ git reset – Undo changes / go back to a previous state 💡 What I understood: Git helps us track every code change Branching makes teamwork much easier Commands like status, add, and commit are used almost every day Commands like merge, fetch, and reset are very useful in real-world projects 🔥 My takeaway: If you want to become strong in: Full Stack Development DevOps Data Engineering Open Source Contributions Then Git is non-negotiable. I’m currently improving my development workflow step by step and building stronger fundamentals every day. 📚 Small learning today = big growth tomorrow. #Git #GitHub #DeveloperJourney #WebDevelopment #DevOps #Coding #Programming #SoftwareDevelopment #OpenSource #LearnInPublic #TechSkills #100DaysOfCode

🚀 Ditch the `final_code_v2_FIXED_really_final zip📂 If you're an IT student or pro in 2026, "mastering Git and GitHub" isn't just a "nice-to-have"—it’s your career foundation. 📌 Here’s why this ecosystem is the tech industry's "Single Source of Truth": ✅- *The "Time Machine" for Your Code* 🕒: Track every change, who made it, and why. Roll back broken updates in seconds. No more "filename hell" or lost PhD projects due to hardware crashes. ✅- *Your GitHub Profile is Your "Living Resume"* 📄: Recruiters scan traditional resumes for 6 seconds. A curated GitHub profile shows off your skills with real code. Pro tip: Pin 3-5 repos and include a detailed README with visuals or videos 🔥 ✅- *The Career Edge (and Paycheck)* 💰: Git proficiency = higher earning potential. Median salaries 2026: - Software Devs: ~$133k - DevOps Engineers: ~$121k - AI Consultants: Up to $180k+ 💸 ✅- *The Future is "GitOps" & AI Orchestration* 🤖: Devs are now "orchestrators" of AI systems. GitOps manages cloud infra (AWS, Kubernetes) via Git commits. ✅- *Level Up Fast* 🚀: Platforms like GitStart offer real-world tickets from Microsoft, Amazon. Get daily peer reviews, condense decades of learning into years. Bottom line: Git is your safety net, GitHub is your stage. Stop emailing zip files. Start committing code 💻✨ #Git #GitHub #SoftwareEngineering #TechCareers #ITStudents #DevOps #GitStart #Programming2025 https://lnkd.in/dtU8hPty

🐙 Day 4/10: Bringing the Parallel Universes Together! 🤝 Mastering Git Merge. 🧬 Post Content: Hello Connections! 👋 Welcome to Day 4 of the 10-Day Git & GitHub Challenge! Yesterday, we learned how to build new features safely inside a Parallel Universe (a Branch). But what happens when the feature is completely tested and ready for real customers? You need to combine it back into the main timeline. This is called Merging. 🌍 Real-Time IT Scenario: You successfully built the "Payment Gateway" inside the feature-payment branch. It works perfectly. Now, your manager says, "Deploy it to live!" You do not rewrite the code. You do not copy-paste. You ask Git to automatically fuse the two branches together. 🐱🐭 The Tom & Jerry Analogy (The Fusion Chamber): --> Jerry (Manual Merging): Jerry opens two files side-by-side. He tries to manually copy-paste hundreds of lines of code from his test file to the live file. He accidentally misses one semicolon ;. The entire production server crashes! --> Tom (Git Merge): Tom uses Git's high-tech "Fusion Chamber". He simply tells Git: "Take everything from my test branch and smoothly sew it into the main branch." Git perfectly combines them byte-by-byte in less than a second. 🚨 The Golden Rule of Merging (The Receiver Rule): You must always be standing inside the receiver branch before you merge! If you want to pull feature into main, you must git checkout main FIRST. 🔥 Today's Mini-Challenge: Let's merge the experiment we did yesterday! Go to the main universe: git checkout main Bring the changes from your branch into main: git merge crazy-experiment Type ls. The file you created in the parallel universe is now in your main timeline! 👇 Key Commands to Remember: --> git checkout main (Always step into the destination branch first) --> git merge <branch_name> (Fuse the specified branch into your current one) Stop copy-pasting. Start fusing! 🧬 Blog link: https://lnkd.in/gVxa26Fy #Git #GitHub #DevOps #Day4 #10DayChallenge #SoftwareEngineering #GitMerge #CodingLife #TechSkills #CareerGrowth

I remembered this today and thought to share. A few years ago, I built a project that I was genuinely proud of. Everything was working perfectly. Then I decided to “improve” it. I changed a few files, added a feature, and saved everything. Suddenly, the project stopped working. I tried fixing it, but the more I edited, the worse it became. And then I realized something painful: I had no way to go back. No clean backup. No record of what I changed. No idea which file broke the project. So I did what most beginners do: project_final project_final2 project_final_latest project_final_real_final After some days, even I didn’t know which one was correct. That was the moment I understood why Git and GitHub exist. Before GitHub, teams used emails, USBs, and manual backups. Collaboration was messy, version history was missing, and mistakes were hard to undo. Git solved this by giving code a “memory”. GitHub made it powerful by enabling collaboration, tracking, and sharing projects professionally. Today GitHub is used everywhere: software development, start-ups, DevOps/CI-CD, data science, ML projects, and open-source contributions. GitHub is not just a place to store code. It’s where software becomes professional. #Git #GitHub #SoftwareDevelopment #Programming #Developer #Coding #VersionControl #OpenSource #DevOps #MachineLearning