This is Level 3 of the Web Programming series. You will design, code, and implement a complete ERP (Enterprise Resource Planning) system for a real-world business, grounded in genuine financial accounting principles, and built with the help of modern AI coding assistants and AI coding agents. By the end, you will have built and shipped a working ERP web application using the same AI-augmented development workflow used by modern software teams.
Module 1: Introduction to Financial Accounting
- What is financial accounting and why it matters
- Accounting principles (GAAP/IFRS basics)
- Types of accounts: Assets, Liabilities, Equity, Income, Expenses
- The accounting equation
- Double-entry bookkeeping explained
Module 2: Chart of Accounts (COA) Design
- Purpose and structure of a Chart of Accounts
- Group accounts vs. sub-level (ledger) accounts
- Numbering systems and hierarchy design
- Building a scalable COA for a real business
- Mapping COA to financial statements
Module 3: General Journal & General Ledger
- Recording transactions in the general journal
- Journal entry structure (debit/credit logic)
- Posting to the general ledger
- Folio system — cross-referencing journal and ledger entries
- Trial balance preparation
Module 4: Financial Statements Fundamentals
- Profit & Loss (Income Statement) structure
- Cash Flow Statement — operating, investing, financing activities
- Balance Sheet basics
- How daily transactions roll up into financial statements
Part B — AI-Assisted Development Workflow
Module 5: Introduction to AI Coding Assistants
- Overview of AI coding assistants (in-editor autocomplete/chat-based tools)
- Prompting effectively for code generation and debugging
- Using AI assistants for boilerplate, refactoring, and documentation
- Reviewing and validating AI-generated code (never trust blindly)
Module 6: Introduction to AI Coding Agents
- Difference between an assistant and an agent (planning, multi-step execution, tool use)
- Setting up an AI coding agent in your development environment
- Giving agents structured tasks: from a single function to a full feature
- Agent workflows: plan → code → test → review → iterate
- Safety practices: reviewing agent output, sandboxing, version control checkpoints
Module 7: Planning the ERP System with AI
- Using AI tools to help design database schema from accounting requirements
- Drafting module architecture and API structure with AI assistance
- Generating and reviewing technical specs collaboratively with AI agents
- Setting up the project repository and environment (with AI-assisted scaffolding)
Part C — ERP System Architecture
Module 8: Database Design for the ERP
- Designing tables/collections for COA, ledgers, journals
- Designing tables for customers, suppliers, inventory, orders
- Relationships and foreign keys (or NoSQL equivalents)
- Using AI assistants to validate and optimize schema design
Module 9: Backend Architecture Setup
- API structure for each ERP module
- Authentication and role-based access (admin, accountant, sales, etc.)
- Backend project scaffolding — accelerated using AI coding agents
- Error handling and validation patterns
Module 10: Frontend Architecture Setup
- Planning the ERP dashboard and module navigation
- Component structure for forms, tables, and reports
- Using AI assistants to speed up UI component generation
- Connecting frontend to backend APIs
Part D — Building Core ERP Modules
Module 11: Customer & Supplier Management Module
- Customer and supplier master data (schema + CRUD)
- Building the module UI and backend logic (assisted by AI tools/agents)
- Customer/supplier ledgers and statements
Module 12: Inventory Management Module
- Inventory structure: items, categories, units of measure
- Stock in/out logic and warehouse basics
- Building the inventory module end-to-end with AI-assisted coding
Module 13: Inventory Valuation — LIFO & FIFO Implementation
- FIFO and LIFO methods explained
- Coding the valuation logic (with AI agent assistance for algorithm implementation)
- Comparing financial impact of each method
- Effect on Cost of Goods Sold (COGS) and profit
Module 14: Sales Order, Invoicing & Purchase Order Modules
- Sales order → invoice workflow (schema, backend, frontend)
- Purchase order → goods-received workflow
- Tax handling, returns, and credit/debit notes
- Using AI agents to generate and test the full order-to-invoice pipeline
Module 15: Integrating Modules with the General Ledger
- Auto-posting transactions from modules to the GL
- Reconciling sub-ledgers with the general ledger
- Maintaining the folio system across integrated modules
- AI-assisted testing of end-to-end financial data flow
Part E — Real-World Business Implementation
Module 16: Full Business Case Implementation
- Setting up the business: COA, customers, suppliers, inventory
- Recording a full cycle of transactions (sales, purchases, journal entries)
- Applying LIFO/FIFO valuation to actual stock movements
- Posting to the general ledger with the folio system
- Generating financial reports: Trial Balance, P&L, Cash Flow, Balance Sheet
- Using AI coding agents to help debug, refactor, and polish the final application
Module 17: Deployment, Review & Business Insights
- Deploying the ERP web application
- Building financial reports directly from the system
- Analyzing profitability and cash flow from system data
- Best practices and pitfalls when using AI agents in production-bound code
- Final project review and certification-style wrap-up