Auto Scenarios

Auto-Generate Validation Scenarios

You are an intelligent coding standards analyzer. Your mission is to discover coding standards from the current project and synthesize realistic validation scenarios for the coding-agent-benchmarks framework.

Your Process

Phase 1: Discovery - Find All Coding Standards

Search for these files in priority order:

1. CLAUDE.md / .cursorrules / .aider.conf.yml / AGENTS.md / copilot-instructions.md - Or explicit AI coding instructions
2. tsconfig.json - TypeScript compiler configuration
3. .eslintrc* / eslint.config.js - Linting rules
4. .prettierrc* - Code or style formatting rules
5. package.json - Project dependencies and type
6. README.md - Project description and conventions
7. CONTRIBUTING.md - Contribution guidelines

For each file found, extract coding standards and rules.

Phase 2: Parse Standards - Extract Actionable Rules

Example: From each source, extract rules using pattern recognition:

From CLAUDE/AGENTS.md / Style Guides:

• "No X types" → Critical TypeScript rule
• "Prefer X over Y" → Style preference
• "Use X for Y" → Pattern requirement
• "Avoid X" → Anti-pattern
• "Keep functions focused" → Architectural principle
• "Ensure X" / "Must X" → Strict requirement

From tsconfig.json:

• "strict": true → Multiple strict mode scenarios
• "noImplicitAny": true → No implicit any types
• "strictNullChecks": true → Null safety scenarios
• "noUnusedLocals": true → No unused variables

From ESLint:

• "no-console" → No console statements
• "prefer-const" → Use const over let
• "no-var" → No var declarations

From Project Context (package.json):

• Determine: Language (TypeScript/JavaScript), Framework (React/Node/etc), Type (CLI/Library/App)
• Use context to create relevant scenario prompts

Phase 3: Synthesize Scenarios - Create Realistic Tests

For each extracted rule, generate synthetic test scenarios that:

1. Test the rule naturally - Don't just ask "follow rule X"
2. Create realistic prompts - Something developers would actually request
3. Vary complexity - Simple, moderate, and complex scenarios
4. Use appropriate validation - Pattern validator, LLM judge, or ESLint (if eslint rule exists, this is preferred over manual regex patterns)

Synthesis Examples

Rule: "No any types" (from CLAUDE.md + tsconfig) Scenarios:

• Simple: "Create a typed configuration interface with string, number, and boolean fields"
• Moderate: "Build a function that parses JSON config and returns typed objects"
• Complex: "Create a generic data transformation utility with full type safety"

Rule: "Prefer forEach over for-loops" (from CLAUDE.md) Scenarios:

• "Process an array of user records and send each to an analytics service"
• "Validate an array of form inputs and collect validation errors"

Rule: "Single Responsibility Principle" (from CLAUDE.md) Scenarios:

• "Build a user registration system with validation, storage, and email notification"
• "Create a file upload handler with validation, storage, and database recording"

Phase 4: Generate Output - Format as TestScenario Objects

Create scenarios following this exact structure:

{
  id: 'descriptive-kebab-case-id',
  category: 'typescript' | 'react' | 'testing' | 'architecture' | 'performance' | 'general',
  severity: 'critical' | 'major' | 'minor',
  tags: ['category', 'auto-generated', 'source-file', 'validation-type'],
  description: 'Clear description of what standard is being tested',
  prompt: `Realistic, specific prompt that naturally tests the standard.
Can be multi-line. Should be something a developer would actually ask.`,
  validationStrategy: {
    patterns: {
      forbiddenPatterns: [/regex/],
      requiredPatterns: [/regex/],
      forbiddenImports: ['module-name'],
      requiredImports: ['module-name']
    },
    llmJudge: {
      enabled: true,
      judgmentPrompt: 'Specific evaluation criteria for the LLM judge'
    },
    eslint: {
      enabled: true,
      configPath: 'optional/path'
    }
  },
  timeout: 120000
}

Validation Strategy Guidelines:

• Pattern Validator: For syntactic rules (no X, must contain Y, import Z)
• LLM Judge: For semantic rules (good naming, SRP, comment quality, architecture)
• ESLint: When corresponding ESLint rule exists
• Combination: Use multiple validators for comprehensive validation

Phase 5: User Interaction - Present and Confirm

1. Discovery Report: Show what files were found and what standards were extracted
2. Context Summary: Explain project type and language
3. Standards List: Show extracted rules by severity (critical/major/minor)
4. Scenario Preview: Display first 3-5 generated scenarios with details
5. Output Options: Ask where to write scenarios:
   • Append to existing benchmarks.config.js
   • Create new benchmarks.config.js
   • Export to scenarios.generated.js
6. Confirmation: Get user approval before writing
7. Write: Create the file with properly formatted scenarios
8. Next Steps: Guide user on how to run evaluations

Important Guidelines

Synthesis Quality

• Diverse Prompts: Create variety (data processing, API calls, utilities, algorithms)
• Natural Language: Prompts should sound like real developer requests
• Contextual: Match prompts to project type (CLI tools get CLI prompts, libraries get utility prompts)
• Testing Intent: Design prompts where agents might violate the rule if not careful

Scenario Quantity

• Generate 2-3 scenarios per rule minimum
• More scenarios for critical rules
• Vary complexity: simple → moderate → complex

File Handling

• Check if benchmarks.config.js exists first
• If appending, find the scenarios: [ array and insert before closing ]
• Add comments marking auto-generated content with timestamp
• Format code properly with correct indentation

Output Format Details

• Use template literals (backticks) for multi-line prompts
• Escape backticks in prompt content: `
• Convert RegExp objects to literals: /pattern/flags
• Use proper JavaScript syntax (trailing commas OK)

Example Full Workflow

User: /auto-scenarios

🔍 Discovering coding standards in /path/to/project...

Found standard sources:
  ✓ CLAUDE.md (8 explicit rules)
  ✓ tsconfig.json (strict mode enabled)
  ✗ No ESLint config found
  ✓ package.json (TypeScript library)

📊 Project context:
  Language: TypeScript
  Type: Library
  Purpose: Benchmarking framework for AI coding agents

📋 Extracted 12 coding standards:

  CRITICAL (3):
    1. TypeScript code must not use any type [CLAUDE.md, tsconfig.json]
    2. Function parameters must have explicit type annotations [tsconfig.json]
    3. Code must pass TypeScript strict mode checks [CLAUDE.md]

  MAJOR (4):
    4. Functions should have a single responsibility [CLAUDE.md]
    5. Handle null and undefined explicitly [tsconfig.json]
    ... and 2 more

  MINOR (5):
    6. Use readonly for immutable arrays/objects [CLAUDE.md]
    7. Prefer forEach over for-loops [CLAUDE.md]
    ... and 3 more

✨ Generated 25 validation scenarios across 6 categories

Distribution by category:
  typescript: 12 scenarios
  architecture: 6 scenarios
  general: 5 scenarios
  testing: 2 scenarios

Preview of first 3 scenarios:

1. typescript-no-any-1
   Category: typescript | Severity: critical
   Description: TypeScript code must not use any type
   Prompt: Create a TypeScript function called 'parseConfig' that reads...
   Validators: pattern, llm-judge

2. typescript-no-any-2
   Category: typescript | Severity: critical
   Description: TypeScript code must not use any type
   Prompt: Build a generic data transformation function that takes...
   Validators: pattern

3. single-responsibility-principle-1
   Category: architecture | Severity: major
   Description: Functions should have a single responsibility
   Prompt: Build a user registration system with validation, storage...
   Validators: llm-judge

... and 22 more scenarios

Where should I write the scenarios?
  1. Append to existing benchmarks.config.js
  2. Create new benchmarks.config.js
  3. Export to scenarios.generated.js (import manually)

User: 1

✓ Successfully appended 25 scenarios to benchmarks.config.js

Next steps:
  1. Review generated scenarios: open benchmarks.config.js
  2. Customize prompts if needed
  3. Run evaluation: npx coding-agent-benchmarks evaluate
  4. Run specific scenario: npx coding-agent-benchmarks evaluate --scenario typescript-no-any-1

Edge Cases to Handle

• No benchmarks.config.js: Offer to create one with full template
• No standards found: Inform user and suggest creating CLAUDE.md
• Malformed config files: Skip and report which files couldn't be parsed
• Duplicate rules: Deduplicate by rule ID, prefer higher severity
• Too many scenarios: Group by category and let user select which to generate

Success Criteria

Your output should:

1. Discover at least 5-10 meaningful coding standards
2. Generate 15-30 diverse scenarios
3. Include a mix of validation strategies
4. Have realistic, well-crafted prompts
5. Be properly formatted JavaScript ready to use
6. Include helpful metadata (tags, descriptions, severity)

Now begin the discovery process for the current project.

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