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Use Claude Code as a supervised analysis and patching assistant, not as an authority. Start with a clean kernel checkout, keep Claude in plan or read-only work while you map the subsystem, require repository paths and evidence for every explanation, and enable edits only for a narrowly defined change. You—not the model—must review commands and diffs, reproduce the problem, run relevant builds and static checks, and follow the Linux kernel’s subsystem-specific submission and security processes.
What “safe” means for kernel work with Claude Code
Linux kernel code sits below applications, handles memory and concurrency directly, and often varies by architecture, configuration, hardware, and timing. A plausible-looking edit can compile while breaking locking, reference lifetimes, error paths, suspend/resume behavior, or a configuration that you did not build.
A safe workflow therefore has four boundaries:
- Permission boundary: begin in plan or read-only exploration; do not remove approval prompts simply to make the session faster.
- Evidence boundary: require file paths, symbols, call paths, documentation, and tests that you can inspect in the checkout.
- Change boundary: solve one well-defined problem in a small, reviewable diff.
- Verification boundary: treat model suggestions as proposals until a human runs and evaluates the appropriate reproducer, builds, tests, and static analysis.
Claude Code’s CLI reference documents a plan permission mode and also documents --dangerously-skip-permissions. The latter skips permission prompts; that is the opposite of the review boundary you want for kernel development. Anthropic’s security guidance places responsibility on the user to examine proposed code and commands before approval. It also warns that restrictions around file tools do not automatically constrain every Bash command that a user approves.
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The Linux kernel documentation states: “AI tools helping with Linux kernel development should follow the standard kernel development process.” Claude can help you navigate that process, but it does not replace it.
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Prepare a checkout that can be discarded
Choose a known revision and subsystem
Work from a clean clone or a disposable worktree at a known kernel revision. Name the subsystem and the behavior you are investigating before starting the session—for example, a particular driver, filesystem path, scheduler operation, networking protocol, or memory-management fault. A bounded target gives the model a tractable search space and gives reviewers a clear statement of scope.
Kernel documentation and maintainer practices change. Read the current development HOWTO, coding-style guidance, patch-submission guide, and the documentation for the subsystem you will touch. The MAINTAINERS file and recent history in the relevant directory help identify the maintained tree, reviewers, mailing lists, and conventions that apply to your change.
Record the baseline before asking for edits
Inspect the checkout yourself before Claude changes anything. Record the revision, branch or worktree, configuration source, and any local modifications. A minimal baseline inspection can include:
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git status --short
git rev-parse --show-toplevel
git rev-parse HEADThe commands above are examples of baseline checks, not a claim that they prove the tree is suitable for your target. If git status reports existing work, either preserve it in a separate worktree or explicitly document it before the session. Otherwise, you may attribute an old change to Claude or accidentally overwrite work you intended to keep.
Start Claude with the review boundary intact
For initial exploration, the CLI reference documents starting in plan mode:
claude --permission-mode planUse the mode and prompts that keep file changes and command execution subject to your approval. Do not use --dangerously-skip-permissions for convenience. Before approving any command, read the complete command—including redirects, substitutions, pipes, and paths—and check what it can write, delete, build, or send outside the checkout.
Ask for understanding before modification
Use a read-only reconnaissance prompt
Begin with questions that produce a map rather than a patch. A useful pattern is:
Explain how this subsystem handles [specific behavior]. Trace the relevant path from [entry point] to [effect], identify its invariants and existing tests, and list the source files and kernel documentation that support your explanation. Do not edit files.Replace the brackets with a concrete event, such as a system call, ioctl, interrupt, packet, filesystem operation, or failing test. Ask Claude to identify:
- the entry point and the functions that carry the operation to its visible effect;
- callers, data structures, ownership rules, locking and interrupt-context assumptions;
- configuration symbols, architecture-specific implementations, and error or cleanup paths;
- existing tests, selftests, reproducers, documentation, and recent changes that constrain the behavior;
- the maintainers and review path indicated by
MAINTAINERS.
Require a path and symbol for each important assertion. Then open those locations yourself with normal repository tools. If a cited function, test, or invariant does not exist, stop and correct the model’s map before proceeding. A confident explanation without a verifiable reference is not evidence.
Separate facts, hypotheses, and unknowns
Ask Claude to label what it observed in the tree, what it inferred, and what remains unknown. This is especially important when diagnosing a race or hardware-dependent failure. A good analysis should say which configuration or architecture it covers, what event triggers the path, and what observation would falsify the proposed cause.
Do not ask for a broad “modernize this subsystem” rewrite. Kernel patches are easier to reason about when the question is specific: one symptom, one suspected path, one expected behavior, and a defined set of constraints.
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State the problem in kernel-review terms
Before edits, write down:
- Observed problem: the warning, crash, incorrect result, performance symptom, or missing behavior.
- How it is reached: the user action, workload, hardware event, configuration, or sequence that exercises the path.
- Expected behavior: what should happen instead, including relevant error handling.
- Impact: which users, systems, architectures, or configurations are affected.
- Constraints: compatibility, locking, ABI, memory ordering, latency, and backport considerations that are known.
Ask Claude for a proposed plan and likely verification before allowing edits. Have it name the files and functions it expects to change, explain why each change is necessary, identify alternatives it rejected, and list tests or a reproducer. Compare that plan with the actual code and subsystem guidance.
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Keep one problem per patch
The kernel patch guide asks contributors to make each patch solve one problem, explain its motivation and user-visible impact, and prepare it against the appropriate current tree. A fix mixed with unrelated refactoring is harder to review, test, backport, or revert. If Claude proposes drive-by renames, formatting changes, or an opportunistic cleanup, defer them unless they are required for the same bug and can be justified in the patch description.
Check ownership before editing
Use MAINTAINERS, the subsystem documentation, and relevant source history to determine the maintained tree and appropriate reviewers. The mainline tree is not the only possible base: subsystem maintainers may develop against their own trees. Claude can summarize this information, but you should verify the entries and follow the current instructions for the subsystem.
Enable edits while keeping every line reviewable
Review the proposed diff, not the explanation
Once you approve an edit, inspect the complete diff immediately. Read the surrounding code, not just changed lines. For each hunk, ask:
- Does the new path preserve locking, reference counting, lifetime, and interrupt-context rules?
- Are all error exits and cleanup paths correct, including partial initialization?
- Does the code compile when the relevant configuration option is disabled or built as a module?
- Are 32-bit, other architecture, endianness, alignment, and compiler assumptions involved?
- Could a user-visible ABI, on-disk format, wire format, or stable behavior change?
- Does the patch alter logging, timing, allocation context, or performance in a way the problem does not require?
Ask Claude to explain each changed hunk, then verify that explanation against the source. Do not accept a patch because the model says it is minimal, safe, or “obviously correct.” Those are conclusions for review, not facts supplied by the model.
Use version control as a safety net
Keep commits or temporary checkpoints small enough to revert. Review git diff and git diff --check yourself, and inspect the final staged diff before preparing a patch. Never let an automated session operate on a worktree containing unrelated local changes unless you have an explicit recovery plan.
Verify what actually changed
Claude may propose commands, but the human operator decides which are safe and relevant. Distinguish three things in your notes:
- Suggested: a command or test Claude recommended.
- Run: the exact command you approved and executed.
- Observed: the output, warnings, failures, configuration, architecture, and revision that resulted.
Never write that a test passed merely because Claude suggested it or because the patch looks plausible.
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Match checks to the patch
| Check area | What to establish | How to use the result |
|---|---|---|
| Reproducer or original analysis | The reported failure is exercised and the proposed fix changes the relevant outcome. | Follow the original reproducer where available, or repeat the complete analysis. The kernel AI guidance says to drop a fix that does not work. |
| Configuration builds | The affected code builds in applicable configurations, including relevant options being disabled or modular where that matters. | Record the configuration and all warnings; do not generalize one successful build to every kernel configuration. |
| Architecture builds | Architecture-specific assumptions are covered when the patch can affect more than the development machine. | Build on multiple CPU architectures where feasible, prioritizing architectures implicated by the code or bug. |
| Style and static checks | The patch meets project conventions and exposes classes of defects a compiler may miss. | Run applicable checks such as scripts/checkpatch.pl and sparse, then investigate findings rather than blindly silencing them. |
| Stack and targeted subsystem checks | Additional risks introduced by call depth, locking, memory, or subsystem behavior are considered. | Use checks such as make checkstack when relevant, plus the subsystem’s own tests and selftests. |
| Clean rebuild | The result is not dependent on stale objects or generated files. | Use a clean build appropriate to the patch and record the command, toolchain, configuration, and result. |
The official kernel checklist recommends relevant build configurations and architectures, clean builds, and checks including checkpatch and sparse. It is a menu to apply intelligently, not proof that every patch is correct after one checklist run. Choose checks based on subsystem, impact, and the paths changed.
Investigate warnings instead of hiding them
A warning can expose an incorrect assumption even when the build exits successfully. Ask Claude to classify a warning, but inspect the compiler output and source yourself. The kernel AI guidance specifically says to avoid build warnings. If a proposed fix introduces warnings or fails the reproducer, discard or revise it rather than rationalizing the result.
Handle security-sensitive findings correctly
Document a research-derived issue
If your work uncovers a possible vulnerability, document:
- the precise problem and affected code;
- how an attacker or user can reach it, including prerequisites;
- the effect, such as information exposure, denial of service, privilege impact, or data corruption;
- the kernel revision, configuration, hardware or architecture involved;
- the tools, analysis methods, and reproducer used.
Do not ask Claude to turn an unverified suspicion into a public bug report. Follow the kernel security guidance, threat model, and reporting process for possible vulnerabilities. A suspected security issue should not be exposed through ordinary public reporting before the appropriate route has been chosen.
Limit sensitive data in the session
Review what you paste into prompts and what approved commands can read. Kernel debugging may involve crash dumps, proprietary hardware details, credentials in build environments, or embargoed findings. Keep the session inside the intended checkout and avoid granting broad access simply because a tool can request it.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Prepare attribution and a reviewable submission
Use the kernel’s AI attribution format
The Linux kernel AI Coding Assistants guidance gives this format:
Assisted-by: LLM [TOOL1] [TOOL2]It says specialized analysis tools may be listed, while basic tools such as git, gcc, make, and editors should not be listed. The same guidance says not to add a Signed-off-by tag for the AI-generated workflow it describes. Follow the current kernel page and the relevant maintainer instructions when preparing an actual contribution; do not infer a project-wide policy from an older example.
Write the patch description for humans
The submission guide expects a clear problem statement, user-visible impact, one problem per patch, style checks, and the appropriate maintainers and lists. Explain the observed behavior, why the old code is wrong, how the change fixes it, and what verification was performed. Include the exact configuration, architecture, reproducer, and results when they are material. State what was not tested instead of implying broader coverage.
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A practical end-to-end session
- Set the target: choose a kernel revision, disposable worktree, subsystem, symptom, and affected environment.
- Capture the baseline: inspect status, revision, configuration, and existing local changes.
- Start in plan mode: use
claude --permission-mode plan; keep approval prompts enabled. - Map the code: request a read-only call-path explanation with paths, symbols, invariants, tests, and documentation.
- Verify the map: open every important reference and correct hallucinated or incomplete claims.
- Define one problem: record the symptom, reachability, expected behavior, impact, and constraints.
- Check ownership: read
MAINTAINERS, subsystem guidance, and relevant history. - Request a plan: ask for a minimal design and verification plan before enabling edits.
- Approve narrowly: permit only the commands and files needed for the plan; never use
--dangerously-skip-permissionsto bypass review. - Inspect the diff: review every hunk and surrounding locking, lifetime, configuration, and architecture assumptions.
- Run verification yourself: execute the selected reproducer, builds, clean-build checks, architecture checks, checkpatch, sparse, and other relevant tests.
- Record reality: separate suggested commands, executed commands, and observed results; discard fixes that do not work.
- Prepare submission: write a human-readable commit message, apply the current attribution guidance, and route the patch to the subsystem’s maintainers and lists.
Common failure modes and recovery
| Failure mode | Why it is dangerous | Recovery |
|---|---|---|
| Starting with an unrestricted session | Commands or edits can outrun your understanding, and approved Bash may have broader reach than file-tool restrictions. | Stop the session, inspect the worktree and command history, restore from the disposable baseline, and restart in plan mode. |
| Trusting a broad subsystem summary | Important architecture, configuration, or lifetime details disappear in a high-level answer. | Ask for a bounded path from a named entry point to an effect, with symbols and evidence. |
| Accepting a compile-only fix | Compilation does not prove runtime behavior, locking correctness, or coverage of other configurations. | Run the reproducer and checks appropriate to the impact; investigate warnings and failures. |
| Mixing cleanup with the fix | Reviewers cannot isolate the behavior change, and regressions are harder to bisect. | Revert unrelated hunks and keep one problem per patch. |
| Using the wrong tree or reviewer set | A technically sound patch can be rejected or lost when it ignores subsystem ownership. | Recheck MAINTAINERS, current subsystem guidance, maintained trees, and recent submissions. |
| Publicly reporting a suspected vulnerability | Disclosure can increase risk and bypass coordinated handling. | Use the kernel security reporting process and threat-model guidance before ordinary public reporting. |
| Claiming tests that were not run | Reviewers and users receive a false picture of confidence. | Record exact commands and observed output; state untested areas plainly. |
What to use for further learning
The kernel HOWTO points newcomers to build and development documentation, coding style, and patch-submission guidance. A physical Linux kernel development book can be an optional general learning aid, but no particular title, edition, publisher, or current listing is established here. For an actionable contribution, current kernel documentation and the relevant subsystem’s instructions remain the authority.
The decision rule
Use Claude Code freely for navigation, questions, call-path tracing, test discovery, and draft plans. Use it cautiously for edits. Treat every command, explanation, and diff as a review item until you have verified it in the actual kernel tree. The safest successful outcome is not the largest AI-generated change; it is a small patch whose problem, ownership, evidence, verification, and attribution a kernel maintainer can inspect.
Quick Recap
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