Every pull request forces the same decision: run the full regression suite and slow the release down, or run a partial set and hope nothing important got missed. Neither is a real answer – it’s a guess dressed up as a process. In this session, we’ll show how AI reads a pull request’s actual code changes and maps them directly to the test cases that matter, live, on real PRs – so your team stops guessing and starts testing exactly what changed.
What you’ll walk away with ?
- A clear framework for connecting any code change to the test cases it actually affects – no more all-or-nothing regression runs.
- A live look at AI Impact Analysis reading a real pull request and generating test recommendations in real time.
- How this fits into your existing CI/CD and PR review workflow, without adding a new manual step.
- What the tool does when a change is ambiguous or touches shared/high-risk components – not just the easy cases.
- Direct access to ask the team building it your specific “what about…” questions live.
