AI agents for software QA

By @ycomclips · Instagram

Source: https://www.instagram.com/reel/DcmeCmQDFoM/?igsi=MWU3aXM2NHo1eWpxcw==

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Summary

The speaker says AI coding models are now good enough to run a real QA loop, with sessions that remember, orchestration trained in, and computer and browser use. They describe spinning up Codex with 12 sub-agents that break a project into features, stress test and code review each one, then tell the next session where to focus testing. Full automation isn't there yet, so manual click-throughs are still needed to know how the product feels.

Core ideas

One context card plus 7 ideas

Models are ready for QA work: the speaker argues current models have memory across sessions, orchestration trained in so they know to use sub-agents, plus computer use and browser use, which together make a strong QA environment.
A concrete multi-agent setup: they ran Codex with 12 sub-agents on their own project the day before recording.
Feature-level decomposition: the agents first understood the project, then broke it down into individual features to test.
Specialized agents per feature: each sub-agent would stress test a feature or code review it, rather than one agent doing everything.
Agents coordinate findings: the sub-agents informed the other session where to focus testing next, so results feed back into the loop.
Manual testing still matters: the speaker is explicit that you can't automate everything yet and you still need manual click-throughs to know how the product feels.
Agents cover the typical bugs: the clip cuts off mid-sentence, but the claim is that this setup handles a lot of the typical bugs users hit.

Quotes

“I think that the models are really good now" (AI agents for software QA)”
@ycomclips

“all of that together is like your perfect Q&A environment" (AI agents for software QA)”
@ycomclips

“I spin up Codex use 12 sub-agents understand my project break it down into features" (AI agents for software QA)”
@ycomclips

“we're not yet at the point where you can automate everything" (AI agents for software QA)”
@ycomclips

“you still need to do some manual click-throughs so that you know how it feels" (AI agents for software QA)”
@ycomclips

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