Automated Regression Testing

The problem

Most bugs in a mature product are regressions — things that used to work. Catching them means re-verifying known-good behaviour on every release, and that's exactly the work that doesn't scale: a manual sweep gets skipped under deadline, and a scripted regression suite becomes a maintenance burden that only covers the paths someone remembered to script.

Why the usual approach falls short

• Manual regression doesn't fit frequent releases. Someone has to click through the same flows every time, so coverage shrinks to what's quick.
• Scripted regression suites rot. Every UI change breaks selectors and flows; the suite ends up testing whether selectors still match, not whether behaviour regressed. Why manual QA doesn't scale covers the pattern.
• Both only cover what was written down. Regressions in un-scripted flows sail through.

How BlackBat AI fits

BlackBat AI explores your whole app on every run — every reachable page and flow, not a fixed list someone maintained. Run it after a change and it reports what's broken now, with a screenshot and reproduction steps for each finding. Because the exploration is broad, a regression in a flow nobody scripted gets caught the same as one in the checkout path; and because a finding carries the exact steps that produced it, you can tell quickly whether it's tied to the change you just made.

For the behaviour you absolutely cannot let regress, describe it in plain English and BlackBat AI checks it explicitly every run, pass/fail per step. The autonomous testing guide explains how this compares to a scripted approach, and Autonomous Testing vs. Scripted Tests is the short version.

What it looks like in practice

1. Run BlackBat AI against a known-good build so you know what "clean" looks like.
2. After each release, run it again — a diff run keeps this cheap — and review the findings, starting with anything in the areas that changed.
3. Promote the flows that matter most into explicit plain-English checks so a break in them is unmissable.

Making regression runs affordable

Regression testing only works if you actually run it, so keep the cost low:

• Use diff runs for routine post-change checks. They re-crawl only the pages that changed since your last run, for a fraction of the time and credits.
• Do a full run before major releases, and whenever a change touches a large part of the app, so the baseline stays honest.
• Keep the explicit checks short. A handful of plain-English checks on the flows that must not regress, not a copy of your old suite.

Reading a regression finding

When a run reports something broken, work through it in this order:

1. Retrace the reproduction steps in a browser to confirm it's real.
2. Check whether it's in an area your recent change touched. If so, it's very likely a regression from that change.
3. Fix it, or dismiss it with a note if it's expected behavior, so the next triage is faster. The guide to reviewing a run covers this in more detail.
4. If the flow matters, add it as a plain-English check so a repeat is unmissable.

Where it fits

Keep unit and integration tests for logic-level regressions. Use BlackBat AI for behavioural regression coverage across the app, and a small scripted set for exact assertions that must hold every time.