How Linear's AI Agent Reports Missing Capabilities

When the agent lacks a tool, a reporting workflow turns the gap into product feedback.

JaJacobゲスト · Linear
チャンネル
Peter Yang
公開日
2026年8月9日
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0:24
読了時間
1 分
原文
英語
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要約

30 秒でわかる

Linear engineer Jacob describes a mechanism for reporting unsupported requests, matching them to an existing issue or creating a new one for the team.

  1. 1Detect a capability gapThe agent reports when a user request requires a tool it does not have.
  2. 2Connect feedback to issuesThe reporting process checks for a matching issue and adds the report or creates one.
  3. 3Surface product opportunitiesThe team receives an ongoing stream of requests indicating possible capabilities to build.

ポイント

  1. Give an agent a way to report when it lacks a needed capability.
  2. Check whether an issue already exists before creating a new one.
  3. Use the incoming reports to understand what the product might need next.
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From unsupported request to issue

Jacob describes Linear's agent feedback mechanism.

Linear engineer Jacob describes a feedback mechanism for an AI agent. If a user asks for something the agent cannot do because it lacks a tool, the agent calls a reporting tool. The report is ingested into the team's issue workflow: it checks for an existing issue and adds the information there, or creates a new issue if needed. Jacob says this gives the team a continuing stream of information about capabilities it might build.

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