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Bazel 8.0.0 marks a significant milestone in the evolution of the popular build and test tool. This release, announced on December 9, 2024, introduces a wide range of changes, many of which are driven by a continuing effort to streamline Bazel’s core and move critical rules into …

Imagine being able to type:

“Where is the Terraform config for our staging RDS?”
“What’s the on-call schedule for the payments service?”
“List all services deployed in the last 24 hours.”

…and getting back a clear, actionable answer.

In this article, we’ll build a full-stack LangChain-based prototype that …

Backstage has become the go-to open-source framework for internal developer portals — and for good reason. With its plugin architecture, Software Catalog, and support for service ownership, it centralizes metadata that teams usually spread across half a dozen tools.

But there’s still friction. Searching for the right service, understanding deployment …

Most internal developer portals (IDPs) promise a centralized place for documentation, service ownership, operational metadata, and best practices. But when a developer needs to ask, “Who owns this API?” or “Where do I find the config for service X?”, they still end up digging through Confluence, stale READMEs, or Slack …

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 …

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 …

As large language models (LLMs) become deeply embedded in developer workflows — from autocompleting code to generating Git commit messages and analyzing diffs — the security and reliability of these AI systems hinge on one critical detail: the prompt.

Prompts are not just inputs; they are the interface between your code and …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

GitOps has already transformed how we think about infrastructure: declarative, auditable, and version-controlled. But as infrastructure-as-code (IaC) adoption grows and systems become more complex, even GitOps can feel overwhelming.

Enter the next wave: AI-powered GitOps. By integrating large language models (LLMs) into our CI/CD pipelines, infrastructure management becomes not …