CI/CD pipeline guides — integrate automated testing into your deployment pipeline and ship with confidence.
Test Reporting
Most teams get Allure working in an afternoon: install the plugin, run tests, generate the report. But the basic setup only scratches the surface of what Allure can do. This guide covers the advanced features that turn Allure from a pretty HTML report into a genuine quality intelligence tool: failure
CI/CD
"It works on my machine" is a testing problem, not a bragging rights problem. When your local environment differs from CI, which differs from staging, which differs from production, your tests are lying to you. Docker-based test environments solve this by making environments explicit, reproducible, and version-
CI/CD
A test suite that takes 45 minutes to run is a test suite that gets skipped. Developers waiting for feedback lose flow, start stacking commits, and begin treating CI as a formality rather than a safety net. Parallel test execution is the most impactful lever you have for keeping test
Testing
Getting accessibility testing into your CI/CD pipeline is the difference between accessibility that holds over time and accessibility that degrades with each release. Without pipeline integration, you rely on developers remembering to run checks manually — and that doesn't scale. This guide covers the complete picture: jest-axe
Security Testing
A complete AppSec pipeline combines three layers: SAST (static analysis of source code), SCA (vulnerable dependency scanning), and DAST (dynamic testing of the running app). Each layer catches different vulnerabilities. This guide shows you how to wire all three into a CI/CD pipeline, where to place each gate, and
Testing
Integrating accessibility testing into CI/CD means every code change is automatically checked for WCAG violations before it reaches production. This prevents accessibility regressions — where a change that broke accessible behavior slips through unnoticed. This guide covers how to set up automated accessibility checks in GitHub Actions, what tools to
api-testing
Webhook handlers are business-critical but rarely tested systematically. This guide shows how to build a complete webhook testing pyramid in CI/CD: unit tests for handler logic, smee.io integration tests, contract tests with JSON Schema, security tests for signature verification, and Toxiproxy for retry behavior. Full pytest and
Compliance Testing
EU AI Act compliance for high-risk AI systems is not a one-time checklist — it requires ongoing automated testing. This guide shows how to integrate bias, accuracy, robustness, audit trail, and logging tests into GitHub Actions using DeepEval and Giskard, with full YAML examples and a production monitoring setup
Testing
Retrying failing tests is a controversial topic. Critics say it hides flakiness and trains developers to ignore failures. Proponents say some level of retry is pragmatic in distributed test environments. Both are right — the answer is about when and how you retry. The Case Against Retries Automatic retries mask flaky
Testing
You've identified a flaky test. You can't fix it right now — it's intermittent, the root cause isn't clear, and you have a release to ship. What do you do? Deleting the test loses coverage. Skipping it silently means the failure is invisible.
Testing
"It works on my machine" is one of the oldest complaints in software development. With tests, the equivalent is "it passes locally but fails in CI." This pattern has specific, identifiable causes — and fixing them systematically makes your test suite dramatically more reliable. Why CI Is
Testing
Snapshot testing works seamlessly in a local development environment but introduces specific challenges in CI/CD pipelines: snapshots may differ across operating systems, developers can't run jest -u in CI, and snapshot updates need to make it into the repository without blocking deployments. This guide covers the patterns