diff --git a/Makefile b/Makefile
index 7027e1d..beae4f9 100644
--- a/Makefile
+++ b/Makefile
@@ -20,3 +20,6 @@ lint-strict:
 
 run_test_parsing:
 	PYTHONPATH=src uv run pytest tests/test_parsing.py
+
+run_test_dfs:
+	PYTHONPATH=src uv run pytest tests/test_Depth.py
diff --git a/src/amaz_lib/MazeGenerator.py b/src/amaz_lib/MazeGenerator.py
index 5f2f7a2..0d4e102 100644
--- a/src/amaz_lib/MazeGenerator.py
+++ b/src/amaz_lib/MazeGenerator.py
@@ -3,6 +3,7 @@ from typing import Generator
 import numpy as np
 from .Cell import Cell
 import math
+import random
 
 
 class MazeGenerator(ABC):
@@ -84,17 +85,111 @@ class Kruskal(MazeGenerator):
         return self.walls_to_maze(walls, height, width)
 
 
-def main():
-    try:
-        for alg in MazeGenerator.Kruskal.kruskal(10, 10):
-            maze = alg
-            # print(maze)
-            # print()
-        print(maze)
+class DepthFirstSearch:
 
-    except GeneratorExit as maze:
-        print(maze)
+    @staticmethod
+    def generator(width: int, height: int) -> np.ndarray:
+        maze = DepthFirstSearch.init_maze(width, height)
+        visited = []
+        path = []
+        w_h = (width, height)
+        coord = (0, 0)
+        while len(visited) < width * height:
+            x, y = coord
+            rand_steps = DepthFirstSearch.random_cells(visited, coord, w_h)
+            if len(rand_steps) == 0:
+                path = DepthFirstSearch.back_on_step(path, w_h)
+                coord = DepthFirstSearch.last(path)
+                rand_steps = DepthFirstSearch.random_cells(path, coord, w_h)
+                x, y = coord
+            wall = DepthFirstSearch.next_step(rand_steps)
+            wall_r = DepthFirstSearch.reverse_path(wall)
+            maze[y][x] = DepthFirstSearch.broken_wall(maze[y][x], wall)
+            visited = DepthFirstSearch.add_cell_visited(coord, visited)
+            path = DepthFirstSearch.add_cell_visited(coord, path)
+            coord = DepthFirstSearch.next_cell(x, y, wall)
+            x, y = coord
+            maze[y][x] = DepthFirstSearch.broken_wall(maze[y][x], wall_r)
+        return maze
 
+    @staticmethod
+    def init_maze(width: int, height: int) -> np.ndarray:
+        maze = np.array([[Cell(value=15) for _ in range(width)]
+                        for _ in range(height)])
+        return maze
 
-if __name__ == "__main__":
-    main()
+    @staticmethod
+    def add_cell_visited(coord: tuple, visited: list = []) -> list:
+        visited.append(coord)
+        return visited
+
+    @staticmethod
+    def random_cells(visited: list, coord: tuple, w_h: tuple) -> list:
+        rand_cell = []
+        x, y = coord
+        width, height = w_h
+        # NORTH
+        if y - 1 >= 0 and coord not in visited:
+            rand_cell.append("N")
+
+        # SOUTH
+        if y + 1 < height and coord not in visited:
+            rand_cell.append("S")
+
+        # WEST
+        if x - 1 >= 0 and coord not in visited:
+            rand_cell.append("W")
+
+        # EAST
+        if x + 1 < width and coord not in visited:
+            rand_cell.append("E")
+        return rand_cell
+
+    @staticmethod
+    def next_step(rand_cell: list) -> str:
+        return random.choice(rand_cell)
+
+    @staticmethod
+    def broken_wall(cell: Cell, wall: str) -> Cell:
+        if wall == "N":
+            cell.set_north(False)
+        elif wall == "S":
+            cell.set_south(False)
+        elif wall == "W":
+            cell.set_west(False)
+        elif wall == "E":
+            cell.set_est(False)
+        return cell
+
+    @staticmethod
+    def next_cell(x: int, y: int, next: str) -> tuple:
+        next_step = {
+            "N": (0, -1),
+            "S": (0, 1),
+            "W": (-1, 0),
+            "E": (1, 0)
+        }
+        add_x, add_y = next_step[next]
+        return (x + add_x, y + add_y)
+
+    def reverse_path(next: str) -> str:
+        reverse = {
+            "N": "S",
+            "S": "N",
+            "W": "E",
+            "E": "W"
+        }
+        return reverse[next]
+
+    @staticmethod
+    def last(path: list):
+        return path(len(path) - 1)
+
+    def back_on_step(path: list, w_h: tuple) -> list:
+        last = DepthFirstSearch.last(path)
+        r_cells = DepthFirstSearch.random_cells(path,  last, w_h)
+        while len(r_cells == 0):
+            path.pop(len(path) - 1)
+            last = DepthFirstSearch.last(path)
+            r_cells = DepthFirstSearch.random_cells(path,  last, w_h)
+        return path
diff --git a/src/amaz_lib/__init__.py b/src/amaz_lib/__init__.py
index 9a6cf1d..f9ebb1b 100644
--- a/src/amaz_lib/__init__.py
+++ b/src/amaz_lib/__init__.py
@@ -1,8 +1,8 @@
 from .Cell import Cell
 from .Maze import Maze
-from .MazeGenerator import MazeGenerator
+from .MazeGenerator import MazeGenerator, DepthFirstSearch
 from .MazeSolver import MazeSolver
 
 __version__ = "1.0.0"
 __author__ = "us"
-__all__ = ["Cell", "Maze", "MazeGenerator", "MazeSolver"]
+__all__ = ["Cell", "Maze", "MazeGenerator", "MazeSolver", "DepthFirstSearch"]
diff --git a/tests/test_Depth.py b/tests/test_Depth.py
new file mode 100644
index 0000000..c7e6eed
--- /dev/null
+++ b/tests/test_Depth.py
@@ -0,0 +1,17 @@
+from amaz_lib.MazeGenerator import DepthFirstSearch
+from amaz_lib.Cell import Cell
+
+
+class TestDepth:
+
+    def test_init_maze(self) -> None:
+        maze = DepthFirstSearch.init_maze(10, 10)
+        cell = Cell(value=15)
+        maze[1][1].set_est(False)
+        assert maze[0][0].value == cell.value
+
+    def test_rand_cells(self) -> None:
+        maze = DepthFirstSearch.init_maze(10, 10)
+        lst = DepthFirstSearch.add_cell_visited(maze[0][0])
+        rand_cells = DepthFirstSearch.random_cells(lst, maze, 0, 1)
+        assert len(rand_cells) == 2
diff --git a/tests/test_Maze.py b/tests/test_Maze.py
index 7bdf580..6c0ae53 100644
--- a/tests/test_Maze.py
+++ b/tests/test_Maze.py
@@ -15,7 +15,7 @@ def test_maze_setter_getter() -> None:
     )
 
     maze.set_maze(test)
-    assert numpy.array_equal(maze.get_maze(), test) == True
+    assert numpy.array_equal(maze.get_maze(), test) is True
 
 
 def test_maze_str() -> None: