AC
BUILDING MACHINES THAT UNDERSTAND | TURNING DATA INTO DECISIONS | TEACHING SYSTEMS TO FIND THE SIGNAL | AI × DATA × CREATIVITY | FROM PROBLEM → SYSTEM → SOLUTION | CODE IS THE TOOL. THINKING IS THE ENGINE. | ENGINEERING INTELLIGENCE, NOT JUST SOFTWARE | WHERE LOGIC MEETS STORYTELLING | BUILD. BREAK. ITERATE. REPEAT. | CURIOUS BY DEFAULT. | ALWAYS BUILDING SOMETHING.
Back to Projects

Case Study

Project Scaffold Agent

A CLI utility that generates nested project structures from JSON or YAML configs with dry-run safety and overwrite protection.

AUTOMATIONCompleted2025

Overview

Project Scaffold Agent automates project bootstrapping by converting declarative structure files into real folder and file trees.

Problem

Manual creation of nested directories and starter files is repetitive and error-prone during project setup.

Why It Matters

Standardized scaffolding improves setup speed and consistency across hackathons, templates, and multi-service projects.

Role

Designed and implemented a modular CLI workflow for parsing, validation, preview, and file-system execution.

Architecture

Module split: main.py for CLI orchestration, parser.py for JSON/YAML ingestion, validator.py for safety checks, executor.py for file operations, and utils.py for shared helpers.

Architecture Signal

  1. Config Input

  2. Parser

  3. Validator

  4. Dry Run

  5. Executor

  6. Project Tree

Stack

Python, JSON, YAML, PyPI packaging, CLI

Implementation

Implemented recursive folder/file generation, dry-run simulation, tree preview output, and force-gated overwrite behavior for safer execution.

Engineering Decisions

  • Kept parser, validator, and executor responsibilities separate to support future extensibility.
  • Added dry-run mode to verify operations before touching the filesystem.
  • Required an explicit force flag for overwrite scenarios to reduce destructive mistakes.

Challenges

  • Handling deeply nested structures from multiple config formats consistently.
  • Balancing automation speed with safeguards for existing directories.
  • Keeping CLI output understandable before execution.

Solutions

  • Unified JSON and YAML parsing into a shared internal structure model.
  • Introduced tree preview and dry-run paths for preflight validation.
  • Applied explicit overwrite protection with a force-flag gate.

Results

Provides a reusable pip-installable scaffolding tool that automates project structure creation with safety controls.

Evaluation

Verified through configuration-driven scaffold generation, dry-run simulations, and overwrite-protection flows.

Metrics

Metrics

TODO

Add validated metrics when available.

Lessons

  • Declarative scaffolding benefits from strict validation before execution.
  • Safety flags are essential in developer automation tools that modify the filesystem.

Future Improvements

  • Template variable injection for dynamic placeholder replacement.
  • Natural-language project description parsing.
  • Boilerplate code generation and LLM planning integration.