I was scrolling Reddit's gamedev communities and saw QA leads still using general AI chatbots to generate test cases — the same tools that hallucinate on long docs, miss things and also you have to prompt them perfectly.
Some weren't using AI at all because the output wasn't reliable enough to trust.
I spoke to a QA lead. He said docs are scattered, workflows are messy, things get outdated. Contradictions just sit there.
Then I asked a dev how often they get bug reports that turn out to be doc inconsistencies. He said it happens. They just mark it as designed and move on.
That's the problem. I built Chronex for it.
https://t.co/qPFtd4EGE5
#gamedev #QA #gametesting
@aeyal1 NVIDIA DGX Spark takes this even further — 200B parameters running locally on your desktop. The wave is moving faster than most people realize.
@aeyal1 NVIDIA DGX Spark takes this even further — 200B parameters running locally on your desktop. The wave is moving faster than most people realize.
@kashish3097 people still stuck in tutorial mode won't appreciate the orchestration point. It shows it's value when they actually try to build something.
@zyron_tech10 Point 2 is a must — sometimes your prompt itself has less context and the AI subtly changes the logic. You won't catch it unless you actually read the code. Those are the bugs that hurt most in production.