Why does my deployment build fail?
Short answer
Almost always because the build can't install or find something: a dependency that was never listed, a Python version mismatch, or a file path that only exists on your machine. The fix is to make dependencies explicit and remove machine-specific assumptions — which Snapdock's pre-flight flags for you in plain English before it deploys.
Why it happens — and how to fix it.
A missing dependency
The code imports a package that isn't installed on the build. Snapdock auto-detects imports and names anything missing, so you don't decode a pip error.
A runtime mismatch
The code needs a different Python version or a system library. Snapdock detects the runtime your project needs instead of you pinning it by hand.
A machine-only path
AI-written code often hardcodes a Windows path or a file that only exists on your laptop. Snapdock flags these and fixes the Windows-to-Linux gotchas automatically.
Run it on Snapdock — no card to start.
Deploy and run any workflow or automation 24/7 — no servers, no Docker, no YAML.