How GitHub Copilot Changed Developer Workflows

In this episode of Open Source with Fexingo, Lucas and Luna explore the quiet revolution happening in codebases worldwide. As of September 2014, 2026, AI-assisted coding has moved from novelty to necessity, but the real story isn't just about speed—it's about how developers are rewriting their own mental models of software construction. We dig into a specific case study involving a mid-sized fintech startup that adopted an AI pair programmer across its entire engineering team, tracking not just lines of code generated, but the shift in how they handle legacy systems, technical debt, and onboarding new hires. We examine the data from recent industry reports showing that while boilerplate generation is up three hundred percent, the ratio of review time spent on logic versus syntax has flipped completely. This is a deep dive into the economics of developer productivity and the emerging skill set of 'code curation' in an age where writing code is easy, but understanding it remains hard.

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