Hard Compiler & Linter Gates

1. Concept Overview & Systemic Problem

AI models tend to write code that visually appears flawless but breaks during compilation attempts. If a developer accepts a diff without strict automated checks:

• Hidden type mismatches accumulate in the project.
• Modules that were deleted three months ago are imported.
• Code cleanliness agreements are violated (Dead Code, unused variables, conflicting formatting rules).

Deterministic Linter Gates transform the linter and compiler into ruthless gatekeepers. The agent is not allowed to leave its code in the repository until exit_code == 0 is confirmed by the validation system.

2. Architectural Taxonomy & Mental Model

┌─────────────────────────────────────────────────────────────┐
│                 DETERMINISTIC GATE PIPELINE                 │
├─────────────────────────────────────────────────────────────┤
│ AGENT PROPOSES PATCH                                        │
│   • Writes code directly or via unified diff                │
├─────────────────────────────────────────────────────────────┤
│                          │                                  │
│                          ▼ TRIGGER HARNESS                  │
│   1. Format & Lint: `biome check --write`                   │
│   2. Strict Types: `tsc --noEmit --strict`                  │
│   3. Security Audit: `pnpm audit --audit-level=high`        │
├─────────────────────────────────────────────────────────────┤
│                          │                                  │
│                 ┌────────┴────────┐                         │
│                 ▼                 ▼                         │
│           [ EXIT CODE 0 ]   [ EXIT CODE != 0 ]              │
│                 │                 │                         │
│                 ▼                 ▼                         │
│          COMMIT & PROCEED   AUTOMATIC GIT ROLLBACK          │
│                             & FEED ERROR BACK TO AGENT      │
└─────────────────────────────────────────────────────────────┘

3. Technical Pipeline & Internal Mechanics

01. Prohibiting any and suppressing errors

In the Biome / ESLint configuration, strict rules are enabled:

{
  "rules": {
    "suspicious": { "noExplicitAny": "error" },
    "correctness": { "noUnusedVariables": "error" }
  }
}

If the agent attempts to use any as a quick workaround for a type error, the gate immediately rejects the change with a clear requirement: "Specify an exact discriminated union instead of any."

02. Protection against broken import paths

The gate triggers a module resolution check. If the model hallucinates and calls import { helper } from '@/lib/helpers', which does not exist in the filesystem, the compiler catches this in 40 milliseconds, preventing the code from reaching the commit.

4. Production Engineering Scenarios

01. Slow Feedback Loop

If the check takes 45 seconds, the agent will operate extremely slowly. Run checks only on modified files (tsc --build or staged-files check) instead of recompiling the entire monorepo.

02. Self-Destructive Cycle

If the linter requires one formatting style while the agent's system prompt instructs otherwise, the agent and linter will endlessly conflict. Formatting settings should be derived exclusively from project configuration files (biome.json, .prettierrc).

5. Pitfalls, Common Mistakes & Security

Strict compiler gates free humans from the role of "live compiler." When automated tools with zero tolerance for errors reliably monitor code cleanliness, vibe coding ceases to be a risky venture and transforms into a disciplined engineering process.