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| Lesson | What Happened | Takeaway | |--------|---------------|----------| | | The initial alpha release had sparse docs; users posted issues asking “how do I train my own model?”. | Investing early in a clear README, tutorial notebooks, and API docs paid off when v0.3 shipped. | | Testing on Edge Devices Is a Must | Early CI only ran on Linux CI runners. Edge‑case bugs (e.g., memory leaks on ARM) surfaced only after v0.4. | Add cross‑platform CI (GitHub Actions matrix) from day one. | | Open Governance Fuels Growth | The move to a Contributor License Agreement (CLA) and a governance doc in Oct 2021 led to a 150 % rise in PRs. | Clear contribution guidelines encourage diverse participation. | | Versioning Discipline | A minor‑versus‑patch bump confusion caused downstream pipelines to break during the v0.5 release. | Adopt Semantic Versioning rigorously and tag release notes explicitly. |
Investigating how the virus remains in "immune-privileged" sites (like the eyes or central nervous system) even after recovery.