Architectural Invariant Design: Deterministic Module Graph Chunk Boundary Invariant in Vite 6
Deterministic Module Graph Chunk Boundary Invariant in Vite 6 defines an industrial-grade behavioral standard for frontend engineering. Enforces strict structural boundary isolation and deterministic content-hashing across Rollup/Rolldown chunks in Vite 6. Eliminates catastrophic cross-chunk cache-invalidation cascades across global CDN layers when incremental business-logic changes occur. 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 | Monolithic vendor bundling and unconstrained manualChunks predicates causing global CDN cache bust cascades | 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 isolate immutable vendor dependencies (e.g., react, react-dom, lodash-es) into discrete, explicit chunks to preserve CDN edge caching across releases.
Engineers MUST ALWAYS isolate immutable vendor dependencies (e.g., react, react-dom, lodash-es) into discrete, explicit chunks to preserve CDN edge caching across releases.
Engineers MUST NOT use non-deterministic manualChunks predicate functions that clump dynamic runtime dependencies into arbitrary monolithic chunks.
Engineers MUST NOT use non-deterministic manualChunks predicate functions that clump dynamic runtime dependencies into arbitrary monolithic chunks.
Vite output configurations MUST explicitly declare immutable file patterns using `[name].[contenthash].js` or `[name].[hash].js` for entry, chunk, and asset filenames.
Vite output configurations MUST explicitly declare immutable file patterns using `[name].[contenthash].js` or `[name].[hash].js` for entry, chunk, and asset filenames.
Services MUST NEVER permit circular dynamic imports between isolated manual chunks, as this forces Rollup to generate synthetic bridging chunks that destabilize hashes.
Services MUST NEVER permit circular dynamic imports between isolated manual chunks, as this forces Rollup to generate synthetic bridging chunks that destabilize hashes.
Build configs MUST enforce deterministic module IDs across environments, guaranteeing identical content hashes given identical source code.
Build configs MUST enforce deterministic module IDs across environments, guaranteeing identical content hashes given identical source code.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Deterministic Module Graph Chunk Boundary Invariant in Vite 6 critical for AI coding assistants?
Enforces strict structural boundary isolation and deterministic content-hashing across Rollup/Rolldown chunks in Vite 6. Eliminates catastrophic cross-chunk cache-invalidation cascades across global CDN layers when incremental business-logic changes occur. 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 (Monolithic vendor bundling and unconstrained manualChunks predicates causing global CDN cache bust cascades) 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.