Releasing fast shouldn’t mean breaking things. As your product grows, Ogoron takes over your QA process end‑to‑end. It understands your product, generates and maintains tests, and continuously validates every change - replacing a systems analyst, test analyst, and QA engineer. Get predictable releases, fewer bugs in production, and full coverage without manual effort. Ship faster. Stay in control. Break nothing
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Launch Team / Built With
Just finished the Ogoron trial - very impressed! Setup took just a couple of hours with your template. It caught two long‑standing bugs we’d missed. The dashboard is clear and JUnit XML export worked perfectly. Moving to the paid plan - thanks for a great tool!
Rectify
@yanakazantseva1 Congrats on the launch!
Yana from Ogoron came and left a genuinely thoughtful comment on our AgentPulse launch today, on their own launch day. That kind of generosity says everything about the people building this. The product speaks for itself too, automated test coverage that keeps up as your product evolves is one of those things you don't realize you desperately need until you have it. Wishing you all the best today
Ogoron
@umar_lateef Thank you so much – that really means a lot to our team.
We really appreciate your kind words. Wishing AgentPulse a great launch as well
Ogoron
@umar_lateef Thank you so much, Umar — this truly means a lot to me 💛
I really believe that supporting each other, especially on important days like launches, is what makes this community so special.
Is any part of our source code, configuration, or test results transmitted outside our infrastructure?
@comrade_komissar Yes, Ogoron is a SaaS (SaaS inn't dead:) ) so the code sanippets are transferred to our LLM providers (mostly OpenAI). We are happy to discuss on-premise deployment with qualified customers
congrats with the launch, guys! how do you evaluate a complex product like this? any benchmarks/metrics you can share?
The speed and cost numbers are compelling. Curious about one specific scenario: how does Ogoron handle testing when the valid test paths depend on prior user data? A dashboard that renders different options based on account history, or a workflow where step 3 depends on step 1. Does the agent discover those conditional paths, or does someone pre-define them? That's usually where automated QA starts requiring manual scaffolding.
I like that it doesn’t pretend to know everything. Asking for clarity instead of guessing feels more usable. The challenge is still logic that isn’t written anywhere.
QA usually breaks once scope expands and edge cases pile up. This feels like it tries to handle that reality better. GitHub only support might limit some teams.