I recently had an interesting conversation with an investor. I was explaining a very concrete technical problem and the solution behind it. At some point he asked: Won t AI solve this in a few years? If so, doesn t that make your solution irrelevant? That question stuck with me because my instinctive reaction was: why would that make it irrelevant?
If a problem can be solved without AI, that solution is always:
After years of testing APIs across fintech, gov, and internal platforms, I keep seeing the same pattern: Most API bugs are not complex. They re boring HTTP basics that teams quietly forget.
A few examples I see again and again:
Missing auth returns 403 instead of 401 so clients debug permissions instead of authentication
Unsupported HTTP methods return 200 so people debug payloads instead of the method
Non-existent endpoints return 200 so monitoring shows everything is fine while users rage
Invalid payloads get echoed back in error messages opening doors nobody intended
Private APIs allow broad CORS origins because it worked in the browser
We just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.
This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.
I m Liudas a QA engineer with 18 years of experience in backend/API testing, leading QA teams in security-critical environments in the UAE.
I built Rentgen because most API bugs are simple edge cases no one has time to test manually. One cURL hundreds of generated test cases. All local, no cloud, no telemetry.
