QA Crow
Summary
QA Crow is a bug tracking and quality assurance tool designed to help manage bug backlogs for development teams.
Similar Articles
@RayFernando1337: The bugs that cause churn almost never show up in a diff, and you only really catch them when you stop reviewing code a…
A developer shares a workflow using Cursor's Opus 4.8 Max Thinking model with subagent harness, and introduces a GitHub repository with installable skill files for AI coding agents, including a 'running-bug-review-board' skill that performs live QA testing.
PQR: A Framework to Generate Diverse and Realistic User Queries that Elicit QA Agent Failures
Introduces PQR, a framework that automatically generates diverse and realistic user queries to uncover failures in LLM-based QA agents, achieving 23-78% more unhelpful responses compared to prior methods.
@justsisyphus: imagine your codex does QA by himself using computer use without manually telling them every fucking time yes that is w…
LazyCodex is a tool that automates QA using AI computer use, allowing developers to set up automated testing without manual intervention.
@yihui_indie: I've been away from the workplace for too long. I'm now very curious about QA work in big companies—is it still the same workflow as before? That is, after finding a bug, you file a ticket to the developers. Because I've realized that when I submit a bug to the devs now, the submitted bug itself is a prompt for AI. I think…
After leaving the workplace, the author is curious whether the workflow of QA in big companies remains the same—submitting a ticket after finding a bug—and believes that submitting a bug can itself be seen as a prompt for AI, so it might be better to directly let AI modify the code.
How are teams handling prompt QA at scale?
A practitioner at a company handling ~40k conversations/month describes the bottleneck of manual prompt QA and asks how teams are using automated systems to detect regressions and user frustration in production.