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    Ship promises an autonomous QA engineer for coding agents

    A post introducing Ship says it tests deployed pull requests and reproduces bugs reported in Slack or Linear.

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    2 Sources, ,

    TLDR

    A post introducing Ship says the tool tests deployed pull requests, reproduces bugs reported in Slack or Linear, and gives Claude or Codex the context to fix them. Another user says verifying agent-written code takes more of their time than writing it and argues that coding agents need this kind of feedback loop.

    Combined views

    5.9K

    2 Sources, first seen 3h ago

    Combined views

    5.9K

    2 Sources, first seen 3h ago

    21 likes
    3h ago
    first seen 3h ago
    21 likes
    25 comments
    8 saves
    2 reposts
    25 comments
    8 saves
    2 reposts
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    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    2 Sources

    @omarsar0These days, I spend more time verifying agent-written code than writing it. This is a big bottleneck in so-called software factories. Ship from @ContextQa takes a bug reported in Slack or Linear, reproduces it, and hands Claude Code or Codex the context to fix it. Coding agents need this kind of feedback loop to get better at fixing their own bugs.3h
    @rohanpaul_aiGenerating 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.3h

    2 Sources

    @omarsar0These days, I spend more time verifying agent-written code than writing it. This is a big bottleneck in so-called software factories. Ship from @ContextQa takes a bug reported in Slack or Linear, reproduces it, and hands Claude Code or Codex the context to fix it. Coding agents need this kind of feedback loop to get better at fixing their own bugs.3h
    @rohanpaul_aiGenerating 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.3h
    Today's Rank

    #20

    Today's Rank

    #20