Real AI Use Cases tool

Honeycomb use cases

Browse real people using Honeycomb inside practical AI use cases. Each use case includes tools used, source links, public workflow previews, outcomes, and related examples.

2 use cases

Real use cases using Honeycomb

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Coding & EngineeringBusiness Operations

Ryan Nystrom, Notion

Engineering leader at Notion

Uses Notion AI, Codex, GitHub, Slack, Honeycomb, and Whisper to make engineering work more structured: preparing standups, turning specs/comments into PRs, and giving engineers better context before they start building.

Outcome: Shows how AI can improve engineering velocity without skipping the parts that make software teams work well: shared context, written specs, reviewable changes, observability, and human judgment.

Notion AICodexGitHubSlack+2

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Coding & EngineeringBusiness Operations

Brian Scanlan, Intercom

AI engineer and R&D leader at Intercom

Built internal Claude Code workflows that improved Intercom’s engineering process: PR-description quality hooks, AI telemetry dashboards, self-improving flaky-test agents, and agent-friendly installation paths for product integration.

Outcome: Shows how AI coding becomes more valuable when a team builds supporting systems around it: better PR metadata, better visibility into agent behavior, automated follow-up on flaky tests, and product setup flows designed for coding agents as well as humans.

Claude CodeHoneycombGitHubAWS S3

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Categories where Honeycomb appears

Business Operations(2)Coding & Engineering(2)