Live behavior
Check the paths customers actually touch: landing pages, signup, login, checkout, onboarding, account screens, and public APIs.
Agent-speed verification
Agents can change software faster than teams can manually verify it. BitterQA gives the live product a self-verification loop: browser and API checks, durable receipts, and failure evidence for the next fix.
The thesis
Agent work raises the rate of change. That is the point. But faster change also means faster decay unless the product can answer back. QA has to become part of the environment, not a slower ceremony at the end.
Check the paths customers actually touch: landing pages, signup, login, checkout, onboarding, account screens, and public APIs.
Record what happened outside the codebase: screenshots, traces, response shapes, status codes, timings, and the final verdict.
Give the next human or agent a bounded failure account instead of another open-ended rediscovery pass.
Evidence
A passing run is not a feeling. It is a receipt. A failing run is not a mystery. It is a narrow piece of evidence attached to the flow that broke.
How it runs
Start with the paths that would cost trust if they quietly broke.
Use daily, hourly, or release-gate runs depending on the risk of the flow.
Screenshots, traces, status codes, timing, and summaries stay attached to each run.
When a check fails, the next human or agent starts from the failing step and its evidence.
What this is
The bitter lesson for software teams is not that agents write reliable code by default. It is that general methods get stronger when the environment supplies feedback they can use.
BitterQA is that feedback layer for the live product. It does not replace unit tests, code review, or uptime checks. It gives autonomous work an external surface to verify against.
Pricing
Starter
For one product that needs a basic live verification loop.
Core
For products with several customer-visible paths worth guarding.
Loop
For teams using agents to ship and verify product changes continuously.
Access
Tell us what your agents or team are changing, which live flow has to stay true, and what evidence would make the next fix obvious.