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Dust empowers engineering teams with AI-driven tools to streamline coding processes, manage incidents, and access documentation efficiently.

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1. Code Assistance

Provide support for coding queries, including writing, debugging, and answering programming-related questions - with context from your internal documentation, code base, and external documentation at the same time. Follow this User Guide

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2. Incident Post-Mortem Draft

Provide support for coding queries, including writing, debugging, and answering programming-related questions - with context from your internal documentation, code base, and external documentation at the same time. Follow this User Guide

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3. Incidents Highlights

Provide support for coding queries, including writing, debugging, and answering programming-related questions - with context from your internal documentation, code base, and external documentation at the same time. Follow this User Guide

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4. External Documentation FAQ

Provide support for coding queries, including writing, debugging, and answering programming-related questions - with context from your internal documentation, code base, and external documentation at the same time. Follow this User Guide

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Go further with 3rd party MCPs

Connect context from any MCP server to help your engineering agents work with more of your stack.
  • GitHub: Automates engineering workflows around issues, PRs, discussions, PR reviews, issue comments, and PR summaries or changelog entries.
  • Linear & Jira: Helps engineering teams create, update, search, and summarize issues/projects.
  • Statuspage: Lets agents create and update customer-facing incident updates from internal incident context.
  • Supabase: Supports backend and database operations, useful for querying project state, debugging backend issues, and managing Supabase-powered apps.
  • Val Town: Lets agents run lightweight TypeScript/JavaScript automations, call APIs, transform data, and prototype small internal tools.
  • Amplitude: Helps engineers investigate product behavior, event regressions, experiments, cohorts, session replays, and user-level product issues.
  • Snowflake / BigQuery / Databricks: Lets engineering teams ask natural-language questions over production or product data to debug incidents, validate migrations, or inspect user/workspace state.
  • Costory: Helps engineering and platform teams investigate cloud or AI spend, compare costs over time, create alerts, and generate FinOps reports.
View more integrations in the Dust marketplace