AI Tooling & Development - Zapier, facing 8,000+ integration issues due to API changes, initially struggled with an API playground approach for engineers [1] - The company pivoted to MCP tools integrated into IDEs, but the Diagnosis tool's slow runtime necessitated an asynchronous approach [1] - Scout Agent was developed to autonomously handle support tickets, generate fixes with tests, and submit merge requests [1] - Embedding Scout Agent in GitLab facilitated iterative solution development without context switching [1] Key Performance Indicators - The company tracks categorization accuracy, fixability assessment, and solution quality to improve AI performance [1] - Scout Agent now drives 40% of support's integration fixes [1] Future Directions - Zapier plans to expand Scout Agent's use to engineering teams and downstream automation processes like testing, shipping, and migration [1]