AI-enabled developer productivity, build systems, and engineering leadership
Posted on in Programming
Natural language developer queries sound like a toy until you watch someone spend ten minutes answering a question the platform already knows:
Posted on in Programming
Bazel is fast, reproducible, and battle-tested at scale — but when something breaks, good luck deciphering its logs. Between action cache messages, output groups, and 500-line stack traces, figuring out why a build failed often feels like solving a riddle wrapped in a C++ binary.
In this article, we’ll build …
Posted on in Programming
CI/CD build failures can be brutal — especially when the logs are long, noisy, and cryptic. Developers often waste precious time parsing through thousands of lines of output just to find the root cause. What if your tools could summarize the problem in plain English?
In this article, we’ll …
Posted on in Programming
Pre-push hooks are your last line of defense before questionable code hits the remote repo. Traditionally, they’re used to enforce tests or linting, but they can be brittle and overly rigid. What if, instead, your push triggered a context-aware AI that reviewed your code against team policies, security best …
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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 …
Posted on in Programming
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 …
Posted on in Programming
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 …
Posted on in Programming
Rebase and merge are not rival moral systems. They create different commit graphs, and the useful choice depends on who already depends on the history. Choose the shape that makes collaboration, debugging, and recovery boring—not the one that wins an argument in a pull request.
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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 …
Posted on in Programming
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 …
Posted on in Programming
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 …
