Blog / field notes

Building and testing software.

istranin.dev is a Python testing blog helping developers build reliable pytest suites, test APIs and AI agents, and automate checks in GitHub Actions.

GitHub Actions Python Testing: A Complete pytest CI Guide

Run pytest automatically on GitHub pull requests. Start with 5 local tests, add reports and checks for supported Python versions, then block failing merges.

New 20 min read pytestGitHub ActionsPython testingCI/CDcode coverage

OpenAI Codex Tutorial: Free Full Course with Python

A free, 3-hour, project-based OpenAI Codex tutorial for Python developers. Build, test, deploy, and review a real app with Codex.

Unit Testing vs Integration Testing vs E2E: Python Examples

Follow one Python converter through unit, integration, and end-to-end tests. Break its calculation, configuration, and output to see why each boundary matters.

16 min read Python testingpytestUnit testingIntegration testingEnd-to-end testingTesting pyramid

Python Unit Testing Best Practices: 10 pytest Rules

Write Python unit tests that survive refactoring. Use pytest to protect behavior, choose useful cases, control dependencies, and keep the suite fast.

16 min read Python unit testingpytesttesting best practicestest designtest automation

FastAPI Testing with Pytest: A Practical API Testing Tutorial

Test a small FastAPI shipping API with pytest. See which checks catch a wrong response, a broken threshold, and invalid input, then learn when to introduce fixtures.

15 min read API testingFastAPIpytestRequest validationTest design

How to Onboard a Python Team to Testing with Pytest

Learn how a 15-developer Python team used shared practice, legacy-code pinch points, and CI to turn pytest into an everyday engineering habit.

10 min read pytestPython testingteam onboardinglegacy codeCI/CD

Write Python Tests with AI: Build a Pytest Skill

See how AI-generated tests can repeat a bug or expose it. Connect clear requirements to a pytest testing harness, then collect the workflow into a reusable skill.

16 min read Python testingpytestAI coding agentsAgent skillsClaude CodeCodex

How to Test a LangGraph Agent with pytest

Use pytest fixtures, parametrization, and exception assertions to test a LangGraph agent: direct answers, tool calls, and service failures.

13 min read LangGraphpytestMockingFixturesParametrization

Pytest Hooks Tutorial with Practical Examples

Understand when pytest hooks help, build a plugin that selects tests and reports failures, then learn how to choose hooks for your own test suite.

16 min read pytestPython testingpytest hookstest automationplugin development

Behavior-Driven Development in Python with pytest-bdd

Learn behavior-driven development in Python by turning shared booking rules into Gherkin scenarios and executable tests with pytest-bdd.

14 min read Behavior-driven developmentpytest-bddPython testingGherkinTDD

Pytest for Beginners: Write and Run Your First Python Test

Write your first pytest test for a shipping rule, learn to read a failure, and catch a bug that a passing test misses. Follow each step in a small Python example.

14 min read pytestPython testingunit testingbeginner tutorial

Test-Driven Development in Python with pytest: A Practical Guide

Build a seat-reservation rule one failing test at a time. Use pytest to see what is missing, protect rejected requests, and refactor with 4 passing cases.

15 min read Test-driven developmentpytestPython testingred-green-refactorunit testing

Unit Testing AI Agents with Pytest

Test a small tool-using AI agent without calling an LLM. Use pytest fixtures and mocks to check tool calls, answers, failures, and provider adapters.

15 min read pytestAI agentsUnit testingMockingFixtures

Pytest Fixtures and Parametrization Best Practices

Reuse pytest setup without hiding what each test checks. Follow an inventory example through fixtures, parameter tables, failures, and fresh test data.

16 min read pytestPython testingFixturesParametrizationTest design

AI Coding Agents: Best Practices for Reliable Software

AI coding agents make implementation faster. The harder question is how to trust the result as the software grows. Clear requirements, useful tests, and readable code give developers a way to keep control.

15 min read AI coding agentsproduction reliabilitytest-driven developmentsoftware testingcode review

Pytest Mocking Tutorial: Patch Dependencies Without Hiding Bugs

Test a wallet with a controlled exchange rate, simulate lookup failures, and see how stricter mocks catch calls that real code would reject.

14 min read pytestMockingpytest-mockPython testingTest design

Build software that is safe to change.

Follow practical guides to pytest fixtures, mocking, FastAPI testing, and AI agents, with code examples for your own projects. Learn to build maintainable test suites and run checks in GitHub Actions.

Explore the courses