git

Git Turns 20: a Q&A With Linus Torvalds

Git, created by Linus Torvalds 20 years ago, transformed software development with its decentralized design, conceived out of necessity after losing access to proprietary tools. Initially, Torvalds aimed to solve his own frustrations with existing systems like CVS and BitKeeper, leading to efficient patch application and a focus on stability and performance. Git allowed for easy local work and sharing, which simplified its adoption for both professional and personal projects. Despite early challenges, Git gained traction, ultimately becoming integral to software collaboration worldwide, supported by its effective maintenance and community involvement.

https://github.blog/open-source/git/git-turns-20-a-qa-with-linus-torvalds/

20 Years of Git. Still Weird, Still Wonderful.

Git celebrates 20 years as a dominant version control system, evolving from Linus Torvalds' initial project for tracking directory contents. It was created to address frustrations with existing systems in the Linux community and has since transformed software development. Scott Chacon shares his journey with Git, from using it in unique ways at a startup to co-founding GitHub and creating educational resources. Git's initial purpose as a content tracker persists, celebrating its quirky yet impactful legacy in developer collaboration and project history management.

https://blog.gitbutler.com/20-years-of-git/

Whose Code Am I Running in GitHub Actions?

Malicious code was added to the tj-actions/changed-files GitHub Action, leaking secrets in public repositories. Using mutable Git tags can lead to unexpected code execution; using commit IDs ensures immutability. The author ran a shell script to check their GitHub Actions for such vulnerabilities and reviewed the trustworthiness of the actions based on their sources. The process involved using Unix text processing tools to extract and tally actions from workflow files, emphasizing security practices in leveraging third-party actions.

https://alexwlchan.net/2025/github-actions-audit/

Git From the Bottom Up

Git Basics Overview:
Repository: Collection of commits; defines HEAD for current tree.
Index: “Staging area” for changes before committing.
Working Tree: Directory with a repository, includes files.
Commit: Snapshot of working tree; creates revision history.
Branch: A name/reference for a commit.
Tag: Permanent name/description for a commit.
HEAD: Indicates currently checked-out branch or commit.

Workflow: Create repository → work in working tree → add changes to index → commit changes to repository.

https://jwiegley.github.io/git-from-the-bottom-up/

Taska

Taska: Native Mac app for GitHub/GitLab issues. Offers 14-day free trial, no subscriptions. Features quick issue management, task grouping, editing, instant search/sort, and multi-window support. Full Markdown support and custom repo settings. One-time purchase $119.99 or $39/year subscription.

https://taska.now/

Git Without a Forge

TLDR: Simon Tatham prefers using bare Git repositories over Git forges (like GitHub or GitLab) for hosting his projects. He outlines his reasons, favoring trust, simplicity, and control over heavy account management and imposed workflows. He provides guidelines on how to best submit patches, ranking methods from most to least preferred: providing a repository URL with branch name, git bundles, patch files, diff files, and avoiding git send-email. While acknowledging the transparency benefits of Git forges, he remains unconvinced that they outweigh his reasons for independence.

https://www.chiark.greenend.org.uk/~sgtatham/quasiblog/git-no-forge/

How Core Git Developers Configure Git

Core Git developers use various git config settings to enhance their workflows. The article outlines crucial configuration options that should likely be defaults, categorizing them into three groups:
1. Clearly Makes Git Better – settings like branch.sort and diff.algorithm improve usability and clarity.
2. Why the Hell Not? – harmless options that may enhance the experience, like help.autocorrect and commit.verbose.
3. A Matter of Taste – preferences, such as managing merge conflicts with merge.conflictstyle.

Key recommendations include setting a default branch name, improving diff outputs, and auto-configuring remote tracking for pushes. The author emphasizes the practicality of these settings, backed by insights from Git core developers.

https://blog.gitbutler.com/how-git-core-devs-configure-git/

5 Best AI-Powered Git Commit Message Tools Compared

Comparison of 5 AI-Powered Git Commit Message Tools:

  1. GitHub Copilot – Suggests commit messages based on code changes. Pros: reliable, free tier; Cons: basic messages, usage limits.

  2. CursorAI – Similar to Copilot but less accurate. Pros: works out of the box, free tier; Cons: less accuracy, usage limits.

  3. czg – Uses Commitizen framework for structured messages. Pros: supports emojis, open-source; Cons: complex configuration for non-developers.

  4. OpenCommit – CLI tool generating commit messages quickly, supports various models. Pros: open-source, fun emojis; Cons: sometimes poorly formatted messages.

  5. AI Commits – CLI tool for automatic commit messages based on code changes. Pros: easy to install, open-source; Cons: no Ollama support.

Choose a tool based on workflow preferences; most are free to try.

https://www.hongkiat.com/blog/best-ai-tools-for-git-commit-messages/

How to Use GitHub’s AI Coding Assistant for Free

GitHub Copilot now offers a free plan for its AI coding assistant. Users can set it up in VS Code and experiment with its capabilities, including error detection and code writing, despite some limitations on performance. To start using it, ensure you have VS Code and a GitHub account, follow the simple setup steps, and adjust privacy settings if desired. The free plan allows for 50 queries per month, providing an opportunity to assess its usefulness in coding tasks.

https://www.zdnet.com/article/how-to-use-githubs-ai-coding-assistant-for-free-and-why-its-worth-a-try/

GitHub Copilot Previews Agent Mode as Market for Agentic AI Coding Tools Accelerates

GitHub launches Copilot agent mode, enhancing AI-driven coding. It enables auto error correction and task handling. Project Padawan, a fully autonomous agent, is in preview. GitHub's advancements in agentic AI aim to keep pace with competitors like Replit and Bolt in the evolving development landscape.

https://venturebeat.com/ai/github-copilot-previews-agent-mode-as-market-for-agentic-ai-coding-tools-accelerates/

Beej’s Guide to Git

Beej's Guide to Git is a comprehensive resource by Brian “Beej Jorgensen” Hall, detailing Git and GitHub usage, workflows, commands, and collaboration techniques. The guide includes setup instructions, file management, branching, merging, and advanced topics like rebasing and stashing. It also covers remote repositories, configuration, and tools for conflict resolution. Versions up to February 2025 are included, emphasizing practical application and collaboration in software development.

https://beej.us/guide/bggit/html/split/

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