AI-powered testing platform. Write tests in plain English, run them everywhere.
SauceLabs
SauceLabs Insights gives you aggregated analytics across all your test runs — flakiness scores, pass rate trends, slowest tests, and failure clustering. This post covers using the Insights dashboard to find and fix flaky tests, analyzing failure patterns, using the SauceLabs API to build custom reports, and integrating Backtrace for error
Test Automation
Django's ORM is the heart of most applications — and the source of many bugs. N+1 queries, missing indexes, broken managers, and subtle transaction behaviors are best caught at test time. This guide covers strategies for testing ORM queries, model logic, and test data setup. Setup pip install
SauceLabs
SauceLabs gives you Selenium WebDriver access to 800+ browser/OS combinations without managing infrastructure. You point your RemoteWebDriver at SauceLabs endpoints, pass W3C capabilities to select the browser, and tests run in their cloud. This post covers setup, W3C capabilities, Python and Java examples, parallel execution, Sauce Tunnel for local
SauceLabs
Cross-browser testing on SauceLabs means running your Selenium tests against a matrix of browser/OS combinations — Chrome, Firefox, Safari, Edge, and legacy browsers like IE11 — without provisioning your own VMs. This post covers building the browser matrix, W3C capabilities configuration, legacy browser quirks, visual screenshot testing, and parallel execution
Test Automation
Creating test data manually with Model.objects.create(...) doesn't scale. When models have 10+ fields, required foreign keys, and complex relationships, tests become maintenance nightmares. factory_boy and model_bakery solve this with generated test data that respects your model's structure. factory_boy factory_boy generates
Django
Hardcoded fixture files rot. setUpTestData with manual objects.create() calls sprawl. factory_boy solves test data generation in Django by centralizing model construction, providing sensible defaults, and making it easy to override only the fields that matter for a specific test. Installation pip install factory-boy Copy Your First DjangoModelFactory
SauceLabs
SauceLabs fits into any CI/CD pipeline as a remote WebDriver endpoint. The integration pattern is the same across GitHub Actions, Jenkins, and CircleCI: store credentials as secrets, optionally start a Sauce Connect tunnel for internal URLs, run your test suite pointing at SauceLabs, then collect results. This post shows
Django
Django REST Framework provides its own testing tools on top of Django's standard test client. Understanding APIClient, APITestCase, and authentication helpers is essential for writing reliable API tests. This guide covers all the patterns you'll need. APITestCase vs TestCase APITestCase is DRF's equivalent of
SauceLabs
SauceLabs Real Device Cloud lets you run Appium tests on physical iOS and Android devices without owning or managing them. You upload your app binary via the SauceLabs API, specify device capabilities, and Appium tests run on the target device. This post covers the real devices vs emulators tradeoff, iOS
Test Automation
Django 3.1+ supports async views, and Django Channels adds WebSocket and long-polling support. Testing async code requires async test runners and clients — but the patterns are familiar once you see them. Setup pip install django channels pytest pytest-django pytest-asyncio Copy # pytest.ini [pytest] DJANGO_SETTINGS_MODULE
Testing
Distroless images contain only your application and its runtime dependencies — no shell, no package manager, no ls, no cat. They're dramatically more secure (Google reports 50%+ CVE reduction) and smaller than Alpine. But they're harder to debug and test. This guide covers how to validate distroless
Security Testing
Static Application Security Testing (SAST) catches vulnerabilities before they ever run. By analyzing source code at rest, SAST tools identify injection flaws, insecure configurations, hardcoded secrets, and dozens of other issues during development — not after a breach. Two tools dominate modern DevSecOps pipelines: SonarQube and Semgrep. They take fundamentally different