GitHub Copilot code review to consume GitHub Actions minutes

GitHub Copilot CLI just hit general availability, bringing AI-powered assistance directly into the terminal. The tool offers command suggestions, code explanations, and a new Autopilot mode backed by GPT-5.4. For developers and DevOps engineers who live in the command line, this is a meaningful workflow change. But the timing is worth noting alongside a separate announcement: GitHub is also tightening usage limits on Copilot across the board. So developers are getting a more capable tool with one hand while potentially facing restrictions with the other. Teams that rely heavily on Copilot should pay close attention to how those new limits are structured and plan accordingly.

Think twice before you hit 'sync' on GitHub. GitHub sync is a permanent step. It's crucial to understand the implications before turning it on. Take this seriously to maintain clarity in your workflow and avoid irreversible changes. Proceed with knowledge, not haste. Dive deeper into version control fundamentals! #GitHub #VersionControl #CodeQuality

[New Blog Post] What Makes a Good GitHub Copilot Agent Skill? In this post, I break down what I think makes a good GitHub Copilot agent skill, including: - giving the agent the right context - shaping behaviour, not just adding information - keeping skills focused and predictable - avoiding over-engineered instructions - designing for real engineering use, not demo scenarios If you are starting to build skills, or refining the ones you already have, this may help you think a bit more clearly about what actually makes them effective in practice. Read here: https://lnkd.in/ezxctYxE #GitHubCopilot #GitHub #AgentSkills #AIEngineering #PlatformEngineering #DeveloperExperience #DevOps #CloudEngineering

Your code lives in two places. Your laptop and GitHub. They do not automatically stay in sync. git push sends your local commits to GitHub. Your teammates can now see your work. git pull brings their new commits to your laptop. You are now up to date. That is the entire model. Push sends. Pull receives. Always pull before you push. It saves you from unnecessary merge conflicts. #Git #GitHub #SoftwareEngineering #VersionControl #DevOps

🚀 Day 25 – Git Reset vs Revert & Branching Strategies Today was all about fixing mistakes the right way in Git 🔧 Hands-on with Git Reset: 🔹 Explored --soft, --mixed, and --hard 🔹 Learned how each affects commits, staging, and working directory 🔹 Understood why --hard is destructive 🔄 Git Revert: 🔹 Reverted a specific commit safely 🔹 Learned that history is preserved (no deletion) 🔹 Realized why revert is preferred for shared branches Reset vs Revert: Reset = rewrite history Revert = create a new undo commit Revert is safer for collaboration Branching Strategies: 🔸 GitFlow – structured, multiple branches 🔸 GitHub Flow – simple and fast 🔸 Trunk-Based Development – short-lived branches, fast integration Key Takeaways: Never use reset --hard on pushed code Use revert when working in teams Branching strategy depends on team size & release cycle #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #Git #GitHub #DevOps #LearningInPublic #TechJourney #SoftwareEngineering #Cloud #OpenSource #DeveloperJourney #BuildInPublic #CareerGrowth #EngineeringLife #Linux #Automation #CI_CD

GitHub 🐱 or GitLab 🦊? There are reasons to prefer one over the other. GitHub: clean ecosystem, massive community GitLab: integrated CI/CD, more “all-in-one” But let’s be honest. Most of the time, it comes down to what you used first. Or simply, which logo you like more. #Git #GitHub #GitLab #SoftwareEngineering #DevTools #DeveloperLife #ContinuousLearning #RotterdamTech

Pushing code is easy… Making sure it works every time is hard 😅 That’s where GitHub Actions comes in. It lets you automate your workflow: • Build your code • Run tests • Deploy automatically All triggered by events like push or PR 🚀 Read more here: https://lnkd.in/gmUXX5MM - By Octopus Deploy

Big news for devs! GitHub Copilot Chat is getting significant improvements specifically for pull requests. This means better help understanding changes, suggesting code improvements, and even drafting PR descriptions. Anything that streamlines the review process is a win in my book! 🙏 #DevOps #AItools

Well most students say they “know GitHub.” but only a few actually use it the way teams do. One workflow that changed how I build is treating GitHub like a working environment, not just a place to dump code. Earlier, my process was simple Code → push → done Now it feels different:- Every feature should start with a separate branch Commits are small and meaningful, not “final code” dumps Pull requests are where we review our own logic before anyone else does README is supported to be treated like documentation, not an afterthought Even when working solo, this creates discipline. You start thinking in terms of changes, not just code. You catch mistakes earlier because you are forced to explain what you built. You build a history that actually shows how you think, not just what you built. VS Code also became more than just an editor for me. Extensions for debugging, Git integration, and error tracking reduce friction. The less time spent fighting the environment, the more time goes into solving actual problems. This shift made my projects feel closer to real engineering work, not assignments. If someone opens your GitHub today, can they understand how you build? #SDE #GitHub #VSCode #DTU #BuildingInPublic #SoftwareEngineering

GitHub engineers really tackled the performance issues in large pull requests. It's impressive how optimizing tiny things like reducing DOM nodes per line can make such a difference. Makes you appreciate the unsung heroes of front-end performance! #GitHub #Engineering