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Rohan Paul (@rohanpaul_ai)· · Original publication time

ContextQa releases Ship, an automated QA agentMachine translation

Automatically verified and published · Generated and evidence-checked automatically; not reviewed by a human.

AI-assisted summary

Ship is described as reading code changes, identifying affected user flows and testing them in a deployed app. It can also reproduce bugs reported in Slack or Linear, find likely causes and pass evidence to a developer or coding agent.

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@deepcabinwala @ContextQa Congrats again on the launch. brilliant idea in this product.

引用或回复的背景(作者 ID 2548584926,https://x.com/i/status/2107135068787581397): @rohanpaul_ai @ContextQa Thanks for the thoughtful write-up, Rohan 🙌 Checking the customer journey deserves as much attention as shipping the change.

引用或回复的背景(作者 ID 2588345408,https://x.com/i/status/2107123033014170017): Generating a PR with an agent is cheap now. Checking that it didn't break a user flow still takes a person and a browser.

That second job is where a lot of engineering time goes now.

@ContextQa released Ship, an AI agent that works as an automated QA engineer:

> It reads the PR > works out which user flows the change affects, and runs those flows against the deployed app. > reproduces bugs reported in Slack or Linear, finds the likely cause, and hands the evidence to a developer or a coding agent like Claude or Codex to fix.

If agents are going to ship more code, something other than a human has to exercise the result.

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