Spinal: A near-instant, predictive surface for any codebase
Spinal is a new developer tool designed to provide ultra-low-latency insights and predictive navigation for large codebases. It aims to help engineers manage the complexity of modern software development by surfacing relevant changes and signals.
Why it matters
As codebases grow in size and complexity, tools that use predictive analytics to assist human developers are becoming essential for maintaining productivity.
Spinal Public preview in the next few days 97d65b5 KVM: Check for duplicate vcpu_id as early as possible Reverted 56d +9 −1 10w Reverted 56 days later by 700f8d2. 51943a1 mm: provide vma_[flags_]is_cow_mapping() and remove is_cow_mapping() Wide 7 modules +107 −38 6w Wide: arch, drivers, fs, include, kernel, mm, tools. 1221246 selftests: net: cover UDP splice checksum fragment alignment Large 380 lines +380 −0 7d 380 hand-written changed lines. torvalds/linux 1.48M commits 96K files A near-instant, predictive surface for any codebase Join with GitHub or use your email Email
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