Ci-Cd

AI-assisted commits now represent 41% of all commits globally. That is a lot of code that humans did not write line by line. The question is no longer whether to use AI for code — it is how to make sure that code is good. AI code review is one of the fastest-growing practices in 2026. Anthropic recently launched Code Review in Claude Code — a multi-agent system that reads your pull requests, understands the full codebase context, and posts review comments that focus on logic errors, not style nitpicks. ...

Nobody likes writing tests. But everybody likes having them. AI coding tools have gotten surprisingly good at generating tests — and surprisingly bad at certain parts of it. The teams winning with AI in 2026 are not generating the most code. They are building processes to ship reliable code despite the fact that AI introduces roughly 1.7 times more bugs than humans, according to recent studies. Good test generation is a critical part of that process. ...

In the previous tutorial, we learned to merge and rebase branches. But everything happened on your local computer. Real projects involve multiple people working together. This is where GitHub comes in. GitHub is a platform that hosts Git repositories online. It lets you share code, review changes, and automate testing. In this tutorial, you will learn to push code to GitHub, create pull requests, and set up basic CI/CD with GitHub Actions. ...

You have a tested, Dockerized Ktor application. The next step is automating everything. When you push code, tests should run automatically. When tests pass on the main branch, the application should deploy automatically. In this tutorial, you will set up a GitHub Actions CI/CD pipeline. You will also add Prometheus metrics for production monitoring. What is CI/CD? CI (Continuous Integration) means running tests automatically when you push code. If tests fail, you know immediately — not after deploying to production. ...

Every pull request in your repo should be reviewed. But manual code reviews take time — often 2-4 hours per PR. And reviewers miss things when they are tired or rushed. AI code review tools read every PR automatically and leave comments in minutes. Not replacing human reviewers — augmenting them. The AI catches the obvious bugs, the human reviewer focuses on architecture and business logic. Here is how to set it up on GitHub. Three options — from easiest to most customizable. ...

Your notes app works on both Android and iOS. The data layer syncs, the UI layer has navigation and editing, and the shared ViewModel handles all business logic. Now it is time to publish. In this tutorial, you will learn how to build a release APK for Android, archive an IPA for iOS, set up GitHub Actions CI/CD, and prepare for the Play Store and App Store. What We Are Covering Android release build — signing, APK, AAB iOS release build — Xcode archive, IPA export GitHub Actions CI/CD — automated builds on every push Signing basics — keystores and provisioning profiles Store submission overview — Play Store and App Store requirements Android: Building a Release APK Debug vs Release So far, we have been building debug APKs with ./gradlew :composeApp:assembleDebug. Debug builds are not optimized and include debugging tools. For publishing, you need a release build. ...

DevOps used to be about writing YAML files and debugging pipelines at 2 AM. In 2026, AI handles most of that. AI DevOps tools now automate code reviews on every PR, scan for security issues before deployment, predict pipeline failures before they happen, and optimize your infrastructure costs automatically. Here are the tools that actually matter — organized by what they do. AI Code Review — Stop Reviewing Every Line Manually The biggest time sink in any development team: code reviews. AI code review tools read every pull request and give feedback in minutes instead of hours. ...