Building the Bucket Linear Agent

a year ago

Bucket's mission is to enable developers to ship quality features faster by reducing friction in the development process.
Bucket has integrated with tools like code editors (Bucket MCP) and GitHub (Bucketbot) to streamline feature flagging.
Bucket built a Linear agent to create and manage feature flags directly within Linear, enhancing workflow integration.
Linear Agents function like teammates, allowing users to assign tasks, mention them in comments, and collaborate on projects.
To create a Linear agent, developers need to set up an OAuth app with webhooks and Inbox notifications enabled.
Agent interactions should feel natural, with immediate acknowledgments and responses to user requests.
Bucket uses a thought balloon emoji (��) to indicate when the agent is processing a request.
The agent listens to issueNewComment notifications to determine if a response is needed, without requiring explicit mentions.
Confirmation checks are implemented for critical actions like changing flag access rules to prevent errors.
Bucket's integration with Linear uses an OpenAPI LLM to handle webhook data and manage feature flags.
Prompt refinement and context tweaking are crucial for reliable LLM performance in agent interactions.
Future plans for the Bucket agent include feedback summaries, link embeds, and integration with Linear's customer requests.

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