Last Updated: January 2026
This roadmap outlines the research phases for understanding and documenting Rust's integration into the Linux kernel. The project spans from foundational knowledge through advanced analysis and future planning.
- ✅ Phase 1-2: Completed - Foundation and history documented
- ✅ Phase 3-4: Completed - Technical integration and toolchain documented
- 🔄 Phase 5: Ongoing - Continuous updates with kernel releases
- 🆕 Phase 6: Active - Real-world impact analysis and case studies
Phase 1 — Foundations (Week 1–2) ✅ Completed
- ✅ Read and summarize motivation & goals (docs/01-intro-and-motivation.md).
- ✅ Build a timeline of key discussions and milestones (docs/02-history.md).
- ✅ Understand the security implications and memory safety benefits
Phase 2 — Technical Integration (Week 3–4) ✅ Completed
- ✅ Kbuild integration, supported subsystems, Rust↔C FFI (docs/03-technical-overview.md).
- ✅ Toolchain matrix and reproducible build notes (docs/04-toolchain-and-deps.md).
- ✅ Document the build system and compiler requirements
Phase 3 — Contribution & Practice (Week 5–6) ✅ Completed
- ✅ Env setup for Rust-in-kernel builds; sample Rust driver skeleton (docs/05-dev-and-contrib.md)
- ✅ Create example code snippets (research/snippets/)
- ✅ Document contribution guidelines and pathways
Phase 4 — Analysis (Week 7) ✅ Completed
- ✅ Challenges, performance, code size, community debates (docs/06-challenges-and-limits.md).
- ✅ Analyze adoption barriers and technical limitations
- ✅ Document community feedback and concerns
Phase 5 — Futures & Ongoing Updates (Week 8+) 🔄 Ongoing
- ✅ Forecast and research questions (docs/07-future-directions.md).
- ✅ Curated links and primary sources (docs/08-resources.md).
- 🔄 Track kernel releases (6.11, 6.12, 6.13+)
- 🔄 Monitor new subsystem support
- 🔄 Update timeline with major milestones
Phase 6 — Real-World Impact (2026+) 🆕 Active
- 🔄 Collect empirical data on security improvements
- 🔄 Analyze production driver implementations
- 🔄 Document enterprise adoption stories
- 📋 Interview kernel maintainers and Rust developers
- 📋 Performance benchmarking and comparison studies
- 📋 Track academic research and publications
- Memory allocator integration patterns
- Lock-free data structure implementations
- DMA and hardware interaction safety
- Interrupt handler patterns in Rust
- Error propagation mechanisms
- Contribution workflow analysis
- Code review process for Rust patches
- Community growth metrics
- Learning resources effectiveness
- Maintainer perspectives and experiences
- Compile time impact analysis
- Runtime performance comparisons
- Code size measurements
- Optimization opportunities unique to Rust
- Cache behavior and memory layout
- CVE rate comparison: Rust vs C modules
- Unsafe code audit methodology
- Formal verification attempts
- Attack surface analysis
- Security certification paths
- Expand code examples in research/snippets/
- Add more academic references in research/references/
- Create tutorial series for common patterns
- Document real-world driver case studies
- Translate documentation to other languages
- Analyze Linux kernel mailing list for Rust discussions
- Compile statistics on Rust adoption by subsystem
- Survey kernel developers about Rust experience
- Benchmark Rust vs C driver implementations
- Study long-term maintenance implications
- Platform device driver templates
- Character device implementations
- Network driver patterns
- Filesystem operation examples
- Synchronization primitive usage
Q1: Update all documentation with latest kernel releases
Q2: Add comprehensive code snippet library
Q3: Complete academic reference collection
Q4: Publish research findings and analysis
- Establish as authoritative Rust-for-Linux knowledge base
- Partner with academic institutions for formal research
- Create interactive learning platform
- Develop tooling for analyzing kernel Rust code
- Contribute findings back to kernel community
- For Contributors: Pick tasks from any phase that interests you
- For Researchers: Use as a guide for structured learning
- For Maintainers: Track project progress and identify gaps
- Labels: Use GitHub issue labels
phase:1throughphase:6,research,documentation,code-examples
Open an issue or discussion to propose new research directions or improvements to the roadmap.