Why Open Source Still Matters in the Age of AI-Assisted Coding

Summary

This interview with Naor Peled, a software engineer and maintainer of TypeORM and PR-Agent, examines whether contributing to open source remains worthwhile when coding agents can produce patches in seconds. Peled argues that AI has not reduced the value of community participation: maintainers still lack time to validate every edge case, and contributors gain technical experience, judgment, and relationships by working on real projects. He recommends that newcomers begin with documentation fixes or issues labeled “good first issue,” because these tasks provide a practical way to learn a codebase and build trust with maintainers. In his projects, day-to-day maintenance still involves reviewing pull requests, updating documentation, running maintainer meetings, adding features, and reducing backlogs. AI-assisted pull requests have also created a new form of review fatigue. Peled describes receiving 20 or 30 nearly identical submissions for one TypeORM issue, including contributors who ignored review feedback. He uses an AI reviewer and contributor follow-up as an initial filter: people who do not respond may have their pull requests closed, while contributors who explain their reasoning and address feedback receive more attention, even when an agent helped write the code. He concludes that open-source participation is increasingly important because contributors can influence both the software ecosystem and the open projects shaping how AI-enabled software is built.