Devin vs Void | agentconfig.ing

Devin vs VoidComparisonUpdated 2026-03-16

SUMMARY

Devin (Agent) uses markdown configuration while Void (IDE) uses markdown. They differ on 3 of 11 compared features. Both tools provide AI-assisted development but take different approaches to project configuration.

FEATURE COMPARISON

Feature	Devin	Void	Notes
Config format	markdown	markdown
Hierarchy support	✓	✗	Whether config files can be placed at multiple directory levels
Global config	✗	✗	User-wide configuration outside any project
Project config	✓	✓
Subdirectory scoping	✓	✗	Config files in subdirectories that apply only to that subtree
File inclusion / imports	✗	✗	Ability to include or reference other files from config
Ignore file	✗	✗
IDE integration	Agent	✓
Schema / structure	Free-form (Markdown)	Free-form (Markdown)	Whether config uses structured schema or free-form content
Git committed	✓	✓	Whether primary config files are intended to be version-controlled
Encoding	UTF-8	UTF-8

SIDE-BY-SIDE CODE SAMPLES

Devin

AGENTS.md

markdown

# Agent Instructions

## Setup
- Python 3.12 with uv package manager
- PostgreSQL 16 and Redis 7
- Run: uv sync && uv run alembic upgrade head

## Commands
- Dev server: uv run uvicorn app.main:app --reload
- Tests: uv run pytest -x --tb=short
- Lint: uv run ruff check . && uv run mypy .
- Format: uv run ruff format .

## Code Style
- FastAPI with async endpoints
- Pydantic v2 for all schemas
- SQLAlchemy 2.0 async sessions
- Repository pattern for data access

## PR Guidelines
- Keep PRs focused on a single issue
- Add tests for new functionality
- Run the full test suite before submitting

Void

.void/rules/*.md

markdown

---
description: Python backend conventions
globs: "app/**/*.py"
auto_apply: true
---

# Backend Rules

## Stack
- Python 3.12 with FastAPI
- SQLAlchemy 2.0 with async sessions
- Alembic for migrations
- pytest for testing

## Conventions
- Use type hints on all function signatures
- Async endpoints by default
- Pydantic v2 models for request/response schemas
- Repository pattern for database access

## File Structure
- app/api/routes/ — API endpoints
- app/models/ — SQLAlchemy models
- app/schemas/ — Pydantic schemas
- app/services/ — Business logic

KEY DIFFERENCES

1. Hierarchy support

Devin: Supported. Void: Not supported.

2. Subdirectory scoping

Devin: Supported. Void: Not supported.

3. IDE integration

Devin: Agent. Void: Supported.

WHICH SHOULD I USE?

Recommendation

Choose based on your IDE/CLI preference. If you use Devin, configure AGENTS.md. If you use Void, configure .void/rules/*.md. Many projects include config files for multiple tools so each team member can use their preferred editor.

PORTABILITY TIP

sync-instructions.sh

bash

# Maintain a single source of truth:
cp AI-INSTRUCTIONS.md CLAUDE.md
cp AI-INSTRUCTIONS.md .cursorrules
cp AI-INSTRUCTIONS.md AGENTS.md