
Auditable API Test Runs: What to Store (JUnit, Logs, HAR, YAML, Artifacts)
Auditable API test runs: what to store in Git vs CI artifacts (YAML, JUnit, logs, HAR). Build reproducible, reviewable evidence in pipelines.
Product updates, API testing insights, and developer workflows.

Auditable API test runs: what to store in Git vs CI artifacts (YAML, JUnit, logs, HAR). Build reproducible, reviewable evidence in pipelines.

Build a Git workflow for YAML API tests with required PR checks, JUnit reports, and merge rules. Keep merges deterministic with CI-native, reviewable flows.

Pin GitHub Actions, runner images, and CLI tools (DevTools included) to stop CI breakage. Practical YAML examples, checksum tips, and safe update flow.

Git-friendly YAML API tests need stable formatting. Learn rules for clean diffs: key order, quoting, block scalars, sorted headers, and CI enforcement.

Learn to test file downloads in API flows using Content-Length, checksums, and headers, with YAML examples for Git and CI-friendly verification.

Redact HAR files safely: remove auth, cookies, and PII, then convert traffic into shareable YAML API tests that run locally and in CI.

API testing in GitHub Actions done right: manage secrets, handle auth, add safe retries, and respect rate limits (including GitHub API) with YAML flows.

YAML API test file structure conventions for clean Git diffs, deterministic CI/CD runs, and clear request chaining. Practical patterns and examples.

Convert HAR to YAML and generate API regression tests you can review in Git and run in CI. Includes GitHub Actions workflow tips and request chaining.

GitHub Flow explained for API testing teams: branching, PR checks, CI, and reviewable YAML workflows. Learn a practical setup and common pitfalls.
We're excited to announce DevTools, a local-first API testing and flow automation tool that turns browser traffic into executable YAML flows.