Situation
An investor asked how you test
The question behind the question is whether the product can keep shipping at this pace without breaking, and whether anyone owns that. A one-page answer with a checklist and a report is enough.
Termsverdict (a one-word release result (pass, pass with findings, fail) with the findings and the checklist version behind it) · two-user test (sign in as one user, create a row, then try to read or change it as another user; pass is nothing comes back) · webhook (a message a provider such as Stripe sends to your server when something happens, like a payment) · fault injection (making a dependency fail on purpose in staging to see what the user and the logs show) · CI (the pipeline that builds and tests every change before it can be merged or deployed) · protected branch (the git branch that cannot be pushed to directly and is the only source of production deploys) · migration (a scripted change to the database schema that ships with a release and should be reversible) · store sandbox (Apple's and Google's test environments where purchases run without real money) · LLM feature (a product feature that calls a large language model, such as an assistant or a summariser)
The situation
Diligence looks for ownership and repeatability. A codebase that is mostly AI-written invites the question more, because reviewers have read the same reports on issue rates. The answer that works is a defined process with evidence: what is tested, by whom, how often, and what happens when it fails.
What to do this week
An ordered sequence from the checklist. Each item links to its pass criterion.
- Day 1
- Day 2
- Day 3
- Day 4
- Day 5
Fault-inject the critical flows and confirm failures are visible. Then send the one page: checklist version, release record, sample report, and the plan going forward.
- EH-01Failures surface to the user and to logshigh
Which plan
Coverage audit $1,200 one-time
The coverage audit produces the diligence answer in five business days: flow map, coverage today, risk list, plan. Then Starter or Growth keeps it true.
What happens without it
A reviewer who has read the CodeRabbit sample knows AI-co-authored pull requests carried 10.83 issues each against 6.45 for human-only ones across 470 open-source pull requests. The question is not whether your code has issues; it is whether a process finds them before customers do.
AI-co-authored pull requests carried 10.83 issues each against 6.45 for human-only pull requests, about 1.7 times more, in a sample of 470 open-source GitHub pull requests (320 AI-co-authored, 150 human-only).
Source: CodeRabbit, 2025-12-17 · verified 2026-09-21
Questions
Investor asked about testing process startup
What do investors ask about engineering process?
When should a startup hire its first QA engineer?
Start with the audit
5 business days, $1,200, credited to the first month.