- Updated: March 20, 2026
- 2 min read
macOS 26 Disrupts Custom DNS Resolver Configurations: Community Workarounds and Insights
macOS 26 Disrupts Custom DNS Resolver Configurations: Community Workarounds and Insights
Apple’s latest release, macOS 26, has introduced an unexpected regression that breaks custom DNS resolver configurations for many users. The issue, first reported on a GitHub Gist, shows that after upgrading, the system ignores manually added DNS settings, reverting to the default resolver and causing connectivity problems for developers, network engineers, and power users.
Our deep dive into the community discussion reveals the following key points:
- Root Cause: A change in the network configuration daemon that unintentionally overrides user‑defined
/etc/resolverentries. - Impact: Applications that rely on custom DNS (e.g., local development environments, VPNs, and split‑tunnel setups) fail to resolve internal hostnames.
- Workarounds: Temporary fixes include re‑applying resolver files after each reboot, using
scutilto manually set DNS servers, or rolling back to macOS 25 until an official patch arrives. - Community Contributions: Several users have shared scripts that automate the re‑application of resolver files and detailed troubleshooting steps.
For a complete technical breakdown, see the original report on GitHub Gist. The discussion includes code snippets, log excerpts, and a timeline of the issue’s discovery.
At Ubos.tech we keep a close eye on platform‑specific challenges that affect our users. If you’re experiencing similar DNS problems, check out our support page for tailored guidance, or read our recent post on network optimizations for macOS to stay ahead of future updates.
Stay tuned for updates as Apple works on a fix, and feel free to join the conversation on our community forum to share your own solutions.
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.