DevSecOps engineer sharing experiences and insights on AI, Web3, and Claude code development. Aims to help solve technical challenges, improve development efficiency, and grow through community interaction. Feel free to comment and discuss.
This article explains why GitLab's built‑in SAST focuses solely on security, distinguishes it from code‑quality analysis, and provides two practical ways—using the official Code‑Quality template and integrating custom linters—to add comprehensive code‑quality checks into your CI/CD pipelines.
This article explores GitLab's built‑in Auto DevOps feature, detailing how including the Auto‑DevOps template in .gitlab-ci.yml automatically creates a full CI/CD pipeline with build, test, review, security scanning, and deployment stages, and explains how each stage works and can be customized.
This guide explains why parallel task handling matters for CI/CD efficiency, details the core 'concurrent' setting in GitLab Runner's config.toml, shows step‑by‑step configuration across platforms, and demonstrates how to combine it with the .gitlab-ci.yml 'parallel' keyword for fine‑grained job scheduling.
The article explains GitLab SAST’s standardized JSON report format, walks through the meaning of the scan metadata and the vulnerabilities array, and shows that an empty vulnerabilities list together with a success status simply indicates a clean, successful static analysis run.
In GitLab CI/CD pipelines, SAST and Dependency Scanning are independent, complementary security mechanisms—one inspects your own source code while the other checks third‑party libraries—so enabling both provides a comprehensive defense against vulnerabilities.
Choosing the right GitLab Runner executor—shell or Docker—determines how jobs interact with the host, affecting speed, isolation, security, and reproducibility, and this guide compares their core features, use cases, risks, deployment options, and best‑practice recommendations for robust CI/CD pipelines.
Learn how to configure a single GitLab Runner on an Ubuntu server to handle both shell and Docker executors by registering multiple runner instances, assigning distinct tags, and using .gitlab-ci.yml job tags for precise task scheduling, complete with step‑by‑step commands and examples.
This article compares two GitLab CI strategies—installing tools on‑the‑fly in scripts versus using a pre‑built Docker image—detailing their implementations, pros and cons, and concluding that pre‑built images provide superior speed, consistency, and security for long‑term projects.
Learn how to use Git’s powerful log command to pinpoint a file’s complete change history, customize output formats, view diffs, search by content, and follow renames, turning a noisy commit list into a precise, readable timeline for any project.
This guide explains why GitLab CI jobs lack git‑push rights by default, describes the minimal‑permission security model of CI_JOB_TOKEN, and provides a step‑by‑step solution using Project Access Tokens to securely enable write access for automated pipelines.
