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Merges often bring in massive changes — sometimes dozens of commits and hundreds of lines of code — and the first thing developers ask is: “What just happened?”
Wouldn’t it be great if Git could summarize what a merge brought in, in plain
English, right after you run git pull or …
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Keeping changelogs up to date is one of those development chores that everyone
agrees is important… and everyone forgets to do. Manual changelog curation often
falls behind or gets skipped entirely. But what if your Git workflow could
automatically generate changelog entries, summarize diffs intelligently, and
update your CHANGELOG.md …
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Now that you’ve got a fully functional, Python-powered Git hook CLI backed by OpenAI, the next step is sharing it — the right way. A downloadable GitHub repo template helps your teammates (or the open-source world) clone, customize, and integrate the tooling into their own workflows with minimal friction.
In …
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Building a local Git hook with Python is great, but if you want others on your team (or across multiple repos) to use it, you’ll want to package it as a reusable command-line tool. In this article, we’ll turn our AI-powered Git hook into a proper Python CLI …
Posted on in Programming
Git hooks are one of the most powerful — and most underutilized — features in the Git ecosystem. They allow you to automate actions at key points in your Git workflow: before committing, before pushing, after merging, and more. Traditionally, these hooks are implemented using shell scripts, but that’s limiting in …
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GitHub Copilot is impressive, but what if you could build your own AI-powered Git
assistant tailored to your workflow? In this article, we’ll walk step-by-step
through building a command-line Git assistant using Python and OpenAI’s API. It
will explain diffs, write commit messages, generate .gitignore files, and even …
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If you’ve ever participated in a heated pull request debate, you’ve probably encountered the age-old dilemma: Should we rebase or merge? While this question often sparks opinions based on team culture or aesthetics, there’s a more technical layer that rarely gets discussed — what’s really happening inside …
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Source Code Management (SCM) has evolved dramatically over the past few decades. What started as simple file versioning systems has transformed into sophisticated platforms integrating AI-driven automation, security, and collaboration features. From the days of CVS and SVN to the dominance of Git and the rise of AI-powered development, this …
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In a previous article, we
explored how to count lines of code by language using tools like cloc. While
cloc and similar tools are convenient, sometimes you may prefer to avoid
additional dependencies and rely solely on standard Unix utilities. Maybe you’re
working in a minimal environment, or you …
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Count lines of code by language with cloc, tokei, and Git-aware exclusions so generated files, dependencies, and vendor code do not distort your repository metrics.
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When working with large Bazel code repositories, it’s not always clear how targets are distributed across directories. Understanding how many targets each top-level directory contains can help gauge complexity, identify hotspots, or guide refactoring efforts.
While Bazel itself doesn’t have a direct command to provide a “count of …
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Over the course of this series, we’ve explored how to build client/server applications with Thrift and Protobuf/gRPC in three different programming languages: Java, Rust, and Python. We started with Thrift, implementing a Java server and Python client, then added Rust into the mix. Next, we recreated a …
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We’ve now built similar RPC setups using Thrift and Protobuf/gRPC in Java and Python. Following the pattern established with Thrift, let’s integrate Rust into our Protobuf/gRPC ecosystem. Rust’s performance and safety features make it a popular choice for high-performance back-ends, and this exercise will show …
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In our previous articles, we explored Thrift and demonstrated how to build cross-language systems with Java, Python, and even integrated Rust. Now, let’s turn our attention to Protobuf and its companion RPC framework, gRPC.
Protobuf (Protocol Buffers) focuses primarily on defining your data structures and ensuring efficient, compact serialization …
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In the previous article, we built a simple Thrift-based client/server application where the server ran on Java and the client ran on Python. Now, let’s take things a step further by introducing a third language: Rust. Rust’s emphasis on performance and safety makes it an intriguing choice …
