Architectural Invariant Design: Bun 1.2 Strict TLS ALPN Service Mesh Downgrade Defense
Bun 1.2 Strict TLS ALPN Service Mesh Downgrade Defense defines an industrial-grade behavioral standard for devops engineering. Enforces deterministic Application-Layer Protocol Negotiation (ALPN) and post-handshake protocol verification across all internal microservice mTLS sockets in Bun 1.2. Eliminates silent protocol downgrades, TLS stripping, and cross-protocol smuggling by enforcing TLS 1.3, strict mTLS client certificate validation, and zero-tolerance ALPN matching. 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 | Permissive mTLS listeners omitting ALPN validation or allowing implicit protocol downgrades in mesh traffic. | 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 declare an explicit, immutable array of supported protocols via `ALPNProtocols` in both `Bun.listen({ tls })` and client `Bun.connect({ tls })` configurations.
Engineers MUST ALWAYS declare an explicit, immutable array of supported protocols via `ALPNProtocols` in both `Bun.listen({ tls })` and client `Bun.connect({ tls })` configurations.
Engineers MUST ALWAYS verify negotiated protocol state post-handshake and immediately call `socket.end()` or `socket.destroy()` if `socket.alpnProtocol` is falsy or not in the authorized whitelist.
Engineers MUST ALWAYS verify negotiated protocol state post-handshake and immediately call `socket.end()` or `socket.destroy()` if `socket.alpnProtocol` is falsy or not in the authorized whitelist.
Services MUST enforce strict mutual TLS by setting `requestCert
Services MUST enforce strict mutual TLS by setting `requestCert: true`, `rejectUnauthorized: true`, and validating peer certificates against internal mesh Root CAs.
Services MUST enforce `minVersion
Services MUST enforce `minVersion: 'TLSv1.3'` across all mesh socket endpoints to mitigate protocol transition attacks and cipher suite downgrades.
Components NEVER permit implicit fallbacks or empty protocol lists, preventing cross-protocol smuggling between HTTP/1.1, HTTP/2, and raw TCP streams.
Components NEVER permit implicit fallbacks or empty protocol lists, preventing cross-protocol smuggling between HTTP/1.1, HTTP/2, and raw TCP streams.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Bun 1.2 Strict TLS ALPN Service Mesh Downgrade Defense critical for AI coding assistants?
Enforces deterministic Application-Layer Protocol Negotiation (ALPN) and post-handshake protocol verification across all internal microservice mTLS sockets in Bun 1.2. Eliminates silent protocol downgrades, TLS stripping, and cross-protocol smuggling by enforcing TLS 1.3, strict mTLS client certificate validation, and zero-tolerance ALPN matching. 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 (Permissive mTLS listeners omitting ALPN validation or allowing implicit protocol downgrades in mesh traffic.) 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.