🎯𝗚𝗶𝘁 𝗖𝗼𝗺𝗺𝗮𝗻𝗱 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 Still searching for Git commands every time you work on a project? Save this cheat sheet. It brings together the essential commands for managing repositories, tracking changes, working with branches, and collaborating with others. From setting up your first repository to undoing changes, managing remotes, and using advanced workflow shortcuts, here's a handy reference for your everyday development work. 📌 𝗚𝗜𝗧 𝗖𝗢𝗠𝗠𝗔𝗡𝗗 𝗖𝗛𝗘𝗔𝗧 𝗦𝗛𝗘𝗘𝗧 / 𝗘𝗦𝗦𝗘𝗡𝗧𝗜𝗔𝗟𝗦 𝟭 — 𝗥𝗘𝗣𝗢𝗦𝗜𝗧𝗢𝗥𝗬 𝗦𝗘𝗧𝗨𝗣 git init = Initialize new repository git clone = Clone repository git config --global user.name "name" = Set global username git config --global user.email "email" = Set global email git config --list = List all config settings 𝟮 — 𝗦𝗧𝗔𝗚𝗜𝗡𝗚 & 𝗖𝗢𝗠𝗠𝗜𝗧𝗧𝗜𝗡𝗚 git status = Show working tree status git add = Stage specific file git add . = Stage all changes git commit -m "message" = Commit staged changes git commit -am "message" = Stage & commit all changes 𝟯 — 𝗩𝗜𝗘𝗪𝗜𝗡𝗚 𝗛𝗜𝗦𝗧𝗢𝗥𝗬 git log = Show commit history git log --oneline = Compact commit history git log --graph --all = Visualize all branches git show = Show commit details git diff = Show unstaged changes git diff --staged = Show staged changes 𝟰 — 𝗨𝗡𝗗𝗢𝗜𝗡𝗚 𝗖𝗛𝗔𝗡𝗚𝗘𝗦 git checkout -- = Discard changes in file git reset = Unstage file git reset --hard = Reset to last commit git revert = Revert a commit 𝟱 — 𝗜𝗡𝗦𝗣𝗘𝗖𝗧𝗜𝗡𝗚 𝗥𝗘𝗣𝗢 git show-ref = Show references git rev-parse HEAD = Show current commit hash git blame = Show who changed what git shortlog = Summary of commit history 𝟲 — 𝗖𝗟𝗘𝗔𝗡𝗜𝗡𝗚 𝗨𝗣 git clean -n = Dry run: show untracked files git clean -f = Remove untracked files git gc = Optimize local repo git prune = Remove unreachable objects 𝟳 — 𝗕𝗥𝗔𝗡𝗖𝗛𝗜𝗡𝗚 & 𝗠𝗘𝗥𝗚𝗜𝗡𝗚 git branch = List branches git branch = Create new branch git checkout = Switch to branch git switch = Switch to branch (new) git merge = Merge branch into current git branch -d = Delete branch 𝟴 — 𝗥𝗘𝗠𝗢𝗧𝗘𝗦 git remote -v = Show remotes git remote add origin = Add remote repository git remote remove origin = Remove remote git fetch origin = Fetch from remote git pull origin = Pull from remote git push origin = Push to remote 𝟵 — 𝗦𝗧𝗔𝗦𝗛𝗜𝗡𝗚 git stash = Stash current changes git stash list = List stashes git stash apply = Apply stash git stash pop = Apply & remove stash git stash drop = Delete stash 𝟭𝟬 — 𝗧𝗔𝗚𝗚𝗜𝗡𝗚 git tag = List tags git tag = Create lightweight tag git tag -a -m "msg" = Create annotated tag git push origin = Push specific tag git push origin --tags = Push all tags 𝟭𝟭 — 𝗦𝗨𝗕𝗠𝗢𝗗𝗨𝗟𝗘𝗦 git submodule add = Add submodule git submodule update --init = Init & update submodules git submodule status = Show submodule status git submodule foreach = Run command in submodules 𝟭𝟮 — 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪 𝗦𝗛𝗢𝗥𝗧𝗖𝗨𝗧𝗦 git cherry-pick = Apply commit from another branch git rebase = Rebase current branch git rebase -i HEAD~n = Interactive rebase git bisect start = Start binary search git bisect good = Mark good commit git bisect bad = Mark bad commit 𝗚𝗜𝗧 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪 Working Directory → Staging Area → Repository → Remote 𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗽𝗼𝘀𝘁 for your next coding session ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @sonalshukla3377 for more such posts

𝗧𝗵𝗲 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿'𝘀 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 🚀 Building AI applications is no longer just about writing Python code or calling an LLM API. It's about knowing how all the pieces work together. Here's what the modern AI engineering stack looks like 👇 🔹 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀: OpenAI, Claude, Gemini, Llama 🔹 𝗔𝗴𝗲𝗻𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: LangGraph, CrewAI, AutoGen 🔹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 & 𝗥𝗔𝗚: Haystack, LlamaIndex, RAGFlow 🔹 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Mem0, Zep, Redis, PostgreSQL 🔹 𝗧𝗼𝗼𝗹𝗶𝗻𝗴 & 𝗠𝗖𝗣: MCP SDK, GitHub MCP Server, Slack MCP Server 🔹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗚𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀: NVIDIA NeMo Guardrails, Lakera Guard, AWS Bedrock Guardrails 🔹 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗘𝘃𝗮𝗹𝘀: LangSmith, Langfuse, Arize Phoenix 🔹 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: n8n, Zapier, Temporal 🔹 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Pinecone, Weaviate, Qdrant, Milvus 🔹 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Docker, Kubernetes, AWS, Azure, Google Cloud You don't need to master every tool on this list. You need to understand which problem each category solves, when to use it, and how to connect the pieces to build reliable AI applications. That's what separates experimenting with AI from engineering AI systems. 💡 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗲𝗿𝗲 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆, 𝘄𝗵𝗶𝗰𝗵 𝟯 𝘁𝗼𝗼𝗹𝘀 𝘄𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻 𝗳𝗶𝗿𝘀𝘁? ♻️ Save this roadmap for your next AI project. ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @sonalshukla3377 for more such posts