Open source didn’t get less important because AI can write the code

Software engineer and open-source maintainer Naor Peled argues that contributing to open source remains highly valuable in the AI era, despite models’ ability to generate code quickly. He recommends that newcomers begin with documentation improvements or “good first issues,” which help them learn a project and become part of its community. Maintaining projects such as TypeORM, PR-Agent, and Cyphernetes involves reviewing pull requests, reducing issue backlogs, updating documentation, coordinating maintainers, and guiding features, with community participation providing benefits that automation cannot replace. Peled acknowledges that AI-generated pull requests can create significant review fatigue, particularly when contributors submit unexamined, repetitive solutions, but he uses automated AI review feedback and contributor responsiveness to distinguish serious effort from abandoned submissions. He maintains that open source contributions strengthen the knowledge underlying AI systems, expose developers to broader technical challenges, and offer opportunities to influence emerging AI tools, standards, and software practices.

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