Architectural Invariant Design: Kernel-Enforced Linux Landlock LSM Sandboxing for Bun 1.2 Runtimes
Kernel-Enforced Linux Landlock LSM Sandboxing for Bun 1.2 Runtimes defines an industrial-grade behavioral standard for devops engineering. Mandates kernel-enforced Linux Landlock LSM confinement via Bun 1.2 FFI immediately post-bootstrap before executing untrusted workloads. Prevents lateral filesystem traversal and unauthorized network operations at the kernel level without VM or container overhead. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Relying on Userland Sandboxing or Process Isolation Without Kernel Landlock Enforcement | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS invoke prctl(PR_SET_NO_NEW_PRIVS, 1, 0, 0, 0) before invoking landlock_restrict_self to allow unprivileged sandbox engagement.
Engineers MUST ALWAYS invoke prctl(PR_SET_NO_NEW_PRIVS, 1, 0, 0, 0) before invoking landlock_restrict_self to allow unprivileged sandbox engagement.
Engineers MUST query the host's supported Landlock ABI version via landlock_create_ruleset with LANDLOCK_CREATE_RULESET_VERSION and fail-closed if Landlock is unavailable or version is below 1.
Engineers MUST query the host's supported Landlock ABI version via landlock_create_ruleset with LANDLOCK_CREATE_RULESET_VERSION and fail-closed if Landlock is unavailable or version is below 1.
Services MUST complete all privileged bootstrap operations (loading dependencies, opening log channels, binding server sockets) BEFORE applying Landlock restriction.
Services MUST complete all privileged bootstrap operations (loading dependencies, opening log channels, binding server sockets) BEFORE applying Landlock restriction.
Code SHOULD restrict filesystem access to explicit target scratch directories using O_PATH descriptors and explicit LANDLOCK_ACCESS_FS_* bitmasks.
Code SHOULD restrict filesystem access to explicit target scratch directories using O_PATH descriptors and explicit LANDLOCK_ACCESS_FS_* bitmasks.
Components NEVER execute untrusted customer code, dynamic imports, or worker scripts in an unconfined Bun process.
Components NEVER execute untrusted customer code, dynamic imports, or worker scripts in an unconfined Bun process.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Kernel-Enforced Linux Landlock LSM Sandboxing for Bun 1.2 Runtimes critical for AI coding assistants?
Mandates kernel-enforced Linux Landlock LSM confinement via Bun 1.2 FFI immediately post-bootstrap before executing untrusted workloads. Prevents lateral filesystem traversal and unauthorized network operations at the kernel level without VM or container overhead. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Relying on Userland Sandboxing or Process Isolation Without Kernel Landlock Enforcement) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.