Code Search: What we learned from instrumenting high-precision telemetry for CodeHub Search? | Workplace

CodeHub search is one of the most popular search surfaces in the company serving ~45 million queries a year. Developers do technical searches throughout the Software Development Life Cycle (SDLC): code authoring, code reviewing, debugging, troubleshooting, incident mitigation, etc. Poor search systems waste enormous amounts of user time (a report by analytics firm IDC states that “An enterprise employing 1,000 knowledge workers wastes $48,000 per week, or nearly $2.5 million per year, due to an inability to locate and retrieve technical information.”) At the same time, code search can be a force multiplier that helps developers “move fast” if it is done right. Similar sentiment was expressed by internal developers and external studies (Stack Overflow Pulse survey). As part of the Machine Assistance for Coding at Scale (MACS) initiative, we have been developing a deeper understanding of the state of technical search at Meta, redefining the technical search experience by enabling rankin

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• Kenny Oseleononmen