diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
new file mode 100644
index 00000000..272f3772
--- /dev/null
+++ b/.github/workflows/main.yml
@@ -0,0 +1,23 @@
+name: Ruff check
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  ruff:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: '3.11'
+
+      - name: Install ruff
+        run: pip install ruff
+
+      - name: Run ruff
+        run: ruff check .
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 82f92755..7b6caf34 100644
--- a/.gitignore
+++ b/.gitignore
@@ -159,4 +159,4 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+.idea/
diff --git a/simple_backend/poetry.lock b/simple_backend/poetry.lock
new file mode 100644
index 00000000..d2dfb85b
--- /dev/null
+++ b/simple_backend/poetry.lock
@@ -0,0 +1,875 @@
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
+
+[[package]]
+name = "anyio"
+version = "4.9.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
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+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
+
+[package.extras]
+doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
+trio = ["trio (>=0.26.1)"]
+
+[[package]]
+name = "certifi"
+version = "2025.7.14"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+]
+
+[[package]]
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+version = "3.4.2"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
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+    {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"},
+]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.11"
+content-hash = "13498b82a0fe7199e4e34da38c881b5432904988201d3317b7de396e42f0a19d"
diff --git a/simple_backend/pyproject.toml b/simple_backend/pyproject.toml
new file mode 100644
index 00000000..faf98443
--- /dev/null
+++ b/simple_backend/pyproject.toml
@@ -0,0 +1,19 @@
+[build-system]
+requires = ["poetry-core>=2.0.0,<3.0.0"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry]
+name = "simple-backend"
+version = "0.1.0"
+description = "A simple task tracker backend with FastAPI and AI integration"
+authors = ["Igor Gorelov <ney24fiz@gmail.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = ">=3.11"
+fastapi = "^0.111.0"
+requests = "^2.31.0"
+python-dotenv = "^1.0.1"
+
+[tool.poetry.group.dev.dependencies]
+uvicorn = {extras = ["standard"], version = "^0.29.0"}
diff --git a/simple_backend/src/task_tracker/README.md b/simple_backend/src/task_tracker/README.md
new file mode 100644
index 00000000..27fb76aa
--- /dev/null
+++ b/simple_backend/src/task_tracker/README.md
@@ -0,0 +1,42 @@
+### ❌ Недостатки хранения данных в оперативной памяти:
+
+1.  **Недолговечность (Volatility):** Все задачи полностью теряются при перезапуске сервера, сбое или завершении работы приложения, так как оперативная память энергозависима.
+2.  **Отсутствие горизонтального масштабирования:** При запуске нескольких экземпляров приложения (для распределения нагрузки) каждый экземпляр будет иметь свой собственный изолированный список задач. Это приводит к непоследовательности данных и непредсказуемому поведению для пользователей.
+3.  **Ограниченный объем:** Объем хранимых данных напрямую ограничен доступной оперативной памятью сервера.
+4.  **Проблемы с параллельным доступом:** При одновременном доступе из разных потоков или запросов к общему списку без надлежащей синхронизации могут возникать ошибки и повреждение данных (так называемое "состояние гонки").
+
+## 💾 Этап 2: Хранение данных в файле (tasks.json)
+
+Для решения проблемы недолговечности данных, приложение было модифицировано для сохранения информации о задачах в локальном JSON-файле (`tasks.json`).
+
+### ✅ Что улучшилось после перехода на файловое хранение?
+
+*   **Постоянство данных (Persistence):** Главное улучшение заключается в том, что задачи теперь не теряются после перезапуска сервера. Они надежно сохраняются на диске.
+
+### ⚠️ Избавились ли мы от хранения состояния?
+
+**Нет.** Приложение по-прежнему является **stateful** (сохраняющим состояние). Его поведение по-прежнему зависит от внешнего ресурса — теперь это файл на диске. Проблема с горизонтальным масштабированием остается актуальной:
+
+*   Если запустить несколько экземпляров приложения, они все будут пытаться одновременно читать и записывать в один и тот же файл. Это неизбежно приведет к конфликтам данных, их потере или повреждению (классическое "состояние гонки"). Текущая реализация не включает механизмов блокировки на уровне файловой системы или базы данных, необходимых для безопасного параллельного доступа.
+
+### 💡 Альтернативные подходы к хранению данных:
+
+Для создания более надежных, масштабируемых и по-настоящему **stateless** backend-приложений обычно используют следующие решения:
+
+1.  **Реляционные Базы Данных (SQL):**
+    *   **Преимущества:** Гарантии целостности данных (ACID-транзакции), строгая схема, мощные возможности запросов SQL. Отлично подходят для данных со сложными связями.
+    *   **Недостатки:** Требуют более строгой схемы, могут быть сложнее в настройке и горизонтальном масштабировании.
+2.  **Нереляционные Базы Данных (NoSQL):**
+    *   **Преимущества:** Гибкая схема данных, часто лучше масштабируются горизонтально, высокая производительность для определенных типов операций.
+    *   **Недостатки:** Могут иметь более слабые гарантии согласованности данных по сравнению с SQL.
+3.  **Облачные Сервисы / Внешние API для хранения данных:**
+    *   **Преимущества:** Полностью перекладывают ответственность за хранение, доступность и масштабирование на сторонний сервис. Это основной способ создания по-настоящему **stateless** бэкенда.
+    *   **Недостатки:** Зависимость от внешнего провайдера, возможные сетевые задержки, потенциальные затраты.
+
+## 🏁 Этап 3: Проблема конкурентного доступа и "Состояние гонки" (Race Condition)
+
+Несмотря на переход к stateless-архитектуре с использованием внешнего сервиса (`jsonbin.io`), в проекте осталась фундаментальная проблема, связанная с одновременным доступом к данным.
+
+
+Чтобы решить эту проблему можно уставновить в проект БД например PostgreSQL.
+
diff --git a/simple_backend/src/task_tracker/main.py b/simple_backend/src/task_tracker/main.py
index 3db98d0d..dcca0767 100644
--- a/simple_backend/src/task_tracker/main.py
+++ b/simple_backend/src/task_tracker/main.py
@@ -1,19 +1,193 @@
-from fastapi import FastAPI
+import json
+import os
+from abc import ABC, abstractmethod
+from typing import List
+
+import requests
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+
+load_dotenv()
 
 app = FastAPI()
 
+
+class BaseHTTPClient(ABC):
+    """Абстрактный базовый класс для HTTP-клиентов к внешним API."""
+
+    @abstractmethod
+    def _get_headers(self) -> dict:
+        raise NotImplementedError
+
+    def _make_request(self, method: str, url: str, **kwargs) -> requests.Response:
+        try:
+            response = requests.request(
+                method, url, headers=self._get_headers(), **kwargs
+            )
+            response.raise_for_status()
+            return response
+        except requests.exceptions.RequestException as e:
+            print(f"Ошибка при запросе к {url}: {e}")
+            raise HTTPException(
+                status_code=503,
+                detail=f"Внешний сервис недоступен: {e.__class__.__name__}",
+            )
+
+
+class TaskFileManager(BaseHTTPClient):
+    """Клиент для работы с хранилищем задач jsonbin.io."""
+
+    def __init__(self):
+        """Инициализирует клиент, загружая конфигурацию для jsonbin.io."""
+        self.api_key = os.getenv("JSONBIN_API_KEY")
+        self.bin_id = os.getenv("JSONBIN_BIN_ID")
+        self.base_url = f"https://api.jsonbin.io/v3/b/{self.bin_id}"
+
+    def _get_headers(self) -> dict:
+        """Реализация метода для получения заголовков, специфичных для jsonbin.io."""
+        return {"X-Master-Key": self.api_key, "Content-Type": "application/json"}
+
+    def read_tasks(self) -> List["Task"]:
+        """Читает полный список задач из 'корзины' jsonbin.io."""
+        try:
+            response = self._make_request("get", self.base_url)
+            data = response.json()
+            task_data = data.get("record", [])
+            return [Task(**task) for task in task_data]
+        except json.JSONDecodeError:
+            raise HTTPException(
+                status_code=500,
+                detail="Не удалось обработать ответ от сервиса хранения.",
+            )
+
+    def write_tasks(self, tasks: List["Task"]):
+        """Полностью перезаписывает список задач в 'корзине' jsonbin.io."""
+        task_dicts = [task.dict() for task in tasks]
+        self._make_request("put", self.base_url, json=task_dicts)
+
+
+class CloudflareAIManager(BaseHTTPClient):
+    """Клиент для работы с Cloudflare Workers AI."""
+
+    def __init__(self):
+        """Инициализирует клиент, загружая конфигурацию для Cloudflare AI."""
+        account_id = os.getenv("CLOUDFLARE_ACCOUNT_ID")
+        self.api_token = os.getenv("CLOUDFLARE_API_TOKEN")
+        self.api_base_url = (
+            f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/"
+        )
+        self.model = "@cf/meta/llama-2-7b-chat-int8"
+
+    def _get_headers(self) -> dict:
+        """Реализация метода для получения заголовков аутентификации Cloudflare."""
+        return {"Authorization": f"Bearer {self.api_token}"}
+
+    def get_solution_for_task(self, task_title: str) -> str:
+        prompt = (
+            "Provide a brief, step-by-step plan to solve the following task. "
+            "Do not add any introductions or conclusions, just the steps. "
+            f"Task: '{task_title}'"
+        )
+        input_data = {
+            "messages": [
+                {
+                    "role": "system",
+                    "content": (
+                        "You are a helpful assistant that provides concise, "
+                        "actionable steps to solve tasks."
+                    ),
+                },
+                {"role": "user", "content": prompt},
+            ]
+        }
+        url = f"{self.api_base_url}{self.model}"
+
+        try:
+            response = self._make_request("post", url, json=input_data)
+            result = response.json()
+            if (
+                result.get("success")
+                and "result" in result
+                and "response" in result["result"]
+            ):
+                return result["result"]["response"].strip()
+            else:
+                print(f"Cloudflare AI returned an unsuccessful response: {result}")
+                return ""
+        except (HTTPException, json.JSONDecodeError) as e:
+            print(f"Error calling Cloudflare AI API: {e}")
+            return ""
+
+
+manager = TaskFileManager()
+cloudflare_manager = CloudflareAIManager()
+
+
+class Task(BaseModel):
+    """Модель задачи, которая хранится в системе и возвращается клиенту."""
+
+    id: int
+    title: str
+    status: str
+
+
+class TaskCreate(BaseModel):
+    """Модель для создания новой задачи (клиент не передает id)."""
+
+    title: str
+    status: str
+
+
+class TaskUpdate(BaseModel):
+    """Модель для обновления существующей задачи."""
+
+    title: str
+    status: str
+
+
 @app.get("/tasks")
-def get_tasks():
-    pass
+def get_tasks() -> List[Task]:
+    """Возвращает список всех задач."""
+    return manager.read_tasks()
+
 
 @app.post("/tasks")
-def create_task(task):
-    pass
+def create_task(task: TaskCreate) -> Task:
+    """Создает новую задачу, обогащая ее описание с помощью AI."""
+    print(f"Getting solution for task: '{task.title}'")
+    solution = cloudflare_manager.get_solution_for_task(task.title)
+    enriched_title = task.title
+    if solution:
+        enriched_title += f"\n\n--- AI Suggested Steps ---\n{solution}"
+
+    tasks = manager.read_tasks()
+    new_id = max([t.id for t in tasks]) + 1 if tasks else 1
+    new_task = Task(id=new_id, title=enriched_title, status=task.status)
+    tasks.append(new_task)
+    manager.write_tasks(tasks)
+    return new_task
+
 
 @app.put("/tasks/{task_id}")
-def update_task(task_id: int):
-    pass
+def update_task(task_id: int, updated_task_data: TaskUpdate) -> Task:
+    """Обновляет задачу по ее ID."""
+    tasks = manager.read_tasks()
+    for i, task in enumerate(tasks):
+        if task.id == task_id:
+            tasks[i] = Task(id=task_id, **updated_task_data.dict())
+            manager.write_tasks(tasks)
+            return tasks[i]
+    raise HTTPException(status_code=404, detail="Task not found")
+
 
 @app.delete("/tasks/{task_id}")
-def delete_task(task_id: int):
-    pass
+def delete_task(task_id: int) -> dict:
+    """Удаляет задачу по ее ID."""
+    tasks = manager.read_tasks()
+    task_to_delete = next((task for task in tasks if task.id == task_id), None)
+    if task_to_delete is None:
+        raise HTTPException(status_code=404, detail="Task not found")
+    tasks.remove(task_to_delete)
+    manager.write_tasks(tasks)
+    return {"message": "Task deleted successfully"}