Honeycomb Co-founder and CTO Charity Majors explains why measuring the right engineering metrics in the age of AI matters more than chasing numbers.

Topics Include:

• Charity Majors introduces Honeycomb as the original observability company for complex systems
• Honeycomb solves high cardinality problems across millions of individual customer experiences
• Their MCP tool ranked top five in Stack Overflow's most-used list
• Canva lets developers interact with production software directly from their IDE
• AI acts as an amplifier requiring strong reliability and observability foundations
• Measuring success requires multiple metrics to avoid gaming single numbers
• Honeycomb adopted Intercom's 2X productivity challenge enlisting employees to identify gains
• Writing code was never the hard part even before generative AI arrived
• Honeycomb created AI values prioritizing transparency and emotional safety for employees
• Staff tested boundaries on resources and environmental impact prompting honest discussions
• Honeycomb acquired Grok and shipped Query Assistant Canvas and MCP products
• Future concerns include AI economics shifting and AI-native developers lacking foundational expertise

Participants:

• Charity Majors – Co-Founder/CTO, Honeycomb.io

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