open-source

Coverage of how open models, licenses, and community-driven development shape AI practice. Expect analysis of contribution workflows breaking under AI-generated submissions, the economics of open-core and freemium models when coding agents can replicate paid features in hours, and the governance questions around verifying, crediting, and sustaining shared codebases. Written for maintainers, contributors, and teams deciding how much to build in the open.

open-source, ai-development, code-review, software-maintainership, developer-tools

Are Open Source Contributions Still Needed in the AI Era?

Open source is more important than ever in the AI era, but the contribution model built on drive-by pull requests is collapsing under AI-generated submissions. The fix is not to close the gates but to redesign how contributions are accepted, verified, and credited.

coding-agents, open-source, business-models, ai-development

Two Hours to Mass Extinction: What Coding Agents Mean for the Open-Core Business Model

How a coding agent turned a capped open-source project into its full-featured paid equivalent in under two hours — and what that means for every company betting on artificial scarcity as a revenue model. It started with a monthly bill. I was evaluating a self-hosted communication platform — the