Fin's CTO on Building Great Engineering Organizations in the AI Era

Fin CTO Darragh Curran discussed how the company nearly tripled engineering productivity after publicly targeting a twofold increase, using AI-generated code, automated AI-based pull request reviews, observability, and more hands-on leadership. He framed effective software development as an iterative cycle of solving problems, measuring whether solutions worked, and rapidly applying lessons to the next task, while removing organizational obstacles to experimentation. Fin’s PR-review system was designed to capture the feedback patterns of its strongest engineers and trace code changes across the wider codebase, allowing some changes to ship without human review while retaining an option to request it. Observability supported this transition by measuring review quality, identifying errors, performance and cost issues, and maintaining developer trust in automated workflows.

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