Job Spec → AI Project Blueprint Generator

An innovative Apify Actor that transforms any job posting into a fully structured project roadmap with Jira-style tickets, architecture notes, test plan, and skill-gap learning resources.

🎯 What It Does

This Actor bridges recruiting and engineering by automatically analyzing job postings and generating:

• 📋 Project Roadmap: 30-60 day epics and Jira-style tickets with story points
• 🏗️ Architecture Blueprint: Detailed system design with modules, data models, and APIs
• ✅ Test Plan: Unit, integration, and end-to-end testing strategies with security testing
• 📚 Learning Plan: Skill-gap analysis with curated learning resources and estimated hours

✨ Features

Input Flexibility

• URL-based: Fetch job postings from LinkedIn, Indeed, or company career pages
• Text-based: Paste job descriptions directly
• Custom Parameters: Override title, company, duration, and features

Intelligent Analysis

• Stack Detection: Automatically identifies languages, frameworks, databases, platforms, and domains
• Seniority Assessment: Estimates junior/mid/senior level from requirements
• Specialization Recognition: Detects microservices, distributed systems, ML, fintech, security, etc.

Comprehensive Output

• Multiple Formats: JSON, Markdown, and CSV for easy integration
• Modular Generation: Toggle architecture, testing, and learning plans independently
• Actionable Artifacts: Ready-to-use for onboarding, project planning, or candidate preparation

🚀 Use Cases

For Companies & Team Leads

• Onboarding Plans: Generate structured onboarding for new hires
• Project Planning: Create initial roadmap for new initiatives
• Role Definition: Clarify expectations with detailed skill breakdowns

For Candidates

• Interview Prep: Understand the job requirements deeply
• Project Blueprint: Build a showcase project aligned with job specs
• Skill Development: Follow the learning plan to close skill gaps

For HR & Recruitment

• Job Posting Validation: Verify realistic expectations and timeline
• Interview Planning: Use tickets as interview discussion points
• Onboarding Automation: Feed blueprints into onboarding workflows

📋 Input Schema

{
  "jobPostingUrl": "string (optional) - URL of the job posting",
  "jobPostingText": "string (optional) - Pasted job description text",
  "companyName": "string (optional) - Company name override",
  "jobTitle": "string (optional) - Job title override",
  "includeArchitecture": "boolean (default: true) - Generate architecture blueprint",
  "includeTestPlan": "boolean (default: true) - Generate test plan",
  "includeLearningPlan": "boolean (default: true) - Generate learning plan",
  "roadmapDurationDays": "number (default: 60) - Project timeline (7-180 days)",
  "outputFormat": "enum (default: 'both') - 'json' | 'markdown' | 'both'",
  "aiProvider": "string (optional) - 'openai' | 'anthropic' | 'local'",
  "apiKey": "string (optional) - API key for AI service (if using)"
}

📤 Output

The Actor produces multiple datasets:

1. Blueprint (JSON)

Complete structured blueprint with all components

2. Blueprint (Markdown)

Human-readable formatted document

3. Tickets (CSV)

Spreadsheet-ready ticket list for importing to Jira

4. Summary

Quick reference with key metrics

🏗️ Output Structure

Project Roadmap

Epics:
├─ EPIC-1: Setup & Architecture (Week 1-2)
│  ├─ Initialize project & CI/CD
│  ├─ Design architecture
│  └─ Set up database schema
├─ EPIC-2: Core Features (Week 3-6)
│  ├─ Authentication
│  ├─ API endpoints
│  └─ Business logic
├─ EPIC-3: Testing & QA (Week 7-8)
│  ├─ Unit tests
│  ├─ Integration tests
│  └─ Performance optimization
└─ EPIC-4: Deployment (Week 9+)
   ├─ Containerization
   ├─ Monitoring setup
   └─ Documentation

Architecture Blueprint

• System overview and module breakdown
• Data models with relationships
• REST/GraphQL API endpoints
• Technology integrations
• Non-functional requirements
• Security considerations
• Scaling strategy

Test Plan

• Unit testing coverage targets
• Integration test scenarios
• End-to-end test cases
• Performance targets (latency, throughput)
• Load testing strategy
• Security test cases

Learning Plan

• Estimated hours for skill development
• Phased learning approach
• Skill gaps with current/target levels
• Curated resources (courses, docs, tutorials)
• Learning path recommendations

🔧 Installation & Setup

Prerequisites

• Node.js 18+
• npm or yarn

Install Dependencies

$npm install

Build TypeScript

$npm run build

Running Locally

$npm run dev

📝 Example Usage

Via URL

{
  "jobPostingUrl": "https://linkedin.com/jobs/view/3698472461",
  "companyName": "TechCorp",
  "roadmapDurationDays": 60,
  "outputFormat": "both"
}

Via Text

{
  "jobPostingText": "Senior Backend Engineer - Python, Django, PostgreSQL...",
  "companyName": "StartupXYZ",
  "jobTitle": "Senior Backend Engineer",
  "roadmapDurationDays": 45,
  "includeArchitecture": true,
  "includeTestPlan": true,
  "includeLearningPlan": true
}

🎓 Learning Resources

The Actor provides curated resources for:

• Programming Languages: Python, TypeScript, Java, Kotlin, Go, Rust, C++
• Frameworks: React, Django, FastAPI, Spring Boot, Express, NestJS, Flutter
• Databases: PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch
• Domains: Fintech, Healthcare, E-commerce, ML, IoT, Security, DevOps
• Specializations: Microservices, Distributed Systems, Scaling, Performance

Each resource includes:

• Title and URL
• Resource type (course, documentation, book, tutorial, practice)
• Estimated hours
• Difficulty level (beginner, intermediate, advanced)

💡 How It Works

1. Parsing: Extract job title, company, requirements, and responsibilities
2. Analysis: Detect technology stack, domains, and seniority level
3. Generation:
   • Generate 30-60 day project roadmap with epics and tickets
   • Create architecture blueprint with modules and APIs
   • Design comprehensive test plan
   • Build personalized learning plan with skill gaps
4. Formatting: Export as JSON, Markdown, CSV, or all formats
5. Output: Push structured data for integration with tools

🔌 Integration Examples

Import Tickets to Jira

1. Download CSV output from Actor
2. Use Jira's bulk import feature
3. Adjust story points and assignments

Create GitHub Issues

1. Use JSON output
2. Create GitHub workflow to parse and create issues
3. Link to project board

Feed to LMS

1. Export learning plan JSON
2. Create courses from learning phases
3. Assign resources to users

🤖 AI Enhancement (Optional)

The Actor can optionally use AI services to enhance:

• Stack detection refinement
• Architecture recommendations
• Learning resource curation
• Domain-specific insights

Currently supports:

• OpenAI (GPT-4, GPT-4o)
• Anthropic Claude
• Local processing (no API needed)

📊 Generated Metrics

Each blueprint includes:

• Team Size Estimate: Based on project complexity
• Total Duration: Customizable 7-180 day range
• Ticket Count: Typically 20-40 tickets per project
• Learning Hours: Skill-gap dependent (20-100+ hours)
• Epic Count: Usually 4-5 epics
• Success Criteria: 5+ key objectives

🔒 Privacy & Security

• No Data Storage: Job postings aren't stored permanently
• No AI Training: Content isn't used to train models (local processing by default)
• GDPR Compliant: Respects data privacy regulations
• Offline Capable: Core functionality works without external API calls

🤝 Contributing

Contributions welcome! Areas for enhancement:

• Additional language/framework patterns
• Domain-specific templates
• Integration plugins
• Resource curation
• UI for output visualization

📄 License

This Actor is provided as-is for the Apify platform.

📞 Support

For issues or feature requests:

1. Check the Apify Actor docs
2. Review sample inputs in /samples
3. Check generated blueprints for schema understanding

🎯 Future Enhancements

• Real-time job posting scraping from multiple sources
• Team skill inventory integration
• Interactive blueprint customization
• Automated Jira integration
• Timeline visualization
• Budget estimation
• Risk assessment
• Technology comparison tools

📈 Performance Metrics

• Parsing Time: 2-10 seconds depending on job posting size
• Analysis Time: <1 second
• Generation Time: 1-5 seconds
• Total Execution: Usually <20 seconds
• Output Size: 50-200KB JSON, 20-100KB Markdown

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Created with ❤️ for engineers, recruiters, and team leads

Transform job postings into actionable project blueprints instantly!