Обновление метаданных для роботов

AGENTS.md

@@ -1,6 +1,6 @@
 # Repository Guidelines
 
-This repository contains an educational manual for Apache Airflow with runnable examples. The root holds the written guides; `airflow-docker/` provides a self-contained Docker setup to run and explore DAGs.
+This repository contains an educational manual for Apache Airflow with runnable examples. The root holds the written guides; `airflow-docker/` provides a self-contained Docker setup to run and explore DAGs. The course and examples target Apache Airflow **2.9.x**.
 
 ## Project Structure & Module Organization
 - Root `01-09 *.md`: step-by-step articles (RU).

airflow-docker/AGENTS.md

@@ -7,9 +7,8 @@ This file provides guidance for AI agents working on the educational Airflow set
 
 ```
 airflow-docker/
-├── docker-compose.yml          # Docker configuration
-├── .env                        # Hardcoded environment variables
-├── dags/                        # DAG files for learning
+├── docker-compose.yml          # Docker configuration and environment
+├── dags/                       # DAG files for learning
 │   ├── hello_world_dag.py      # Basic Python operators
 │   ├── sql_basic_dag.py       # SQL operations
 │   ├── file_operations_dag.py   # File processing
@@ -118,8 +117,7 @@ docker-compose logs postgres-metadata
 ## 📚 Key Files to Examine
 
 ### Configuration Files
-- [`docker-compose.yml`](docker-compose.yml) - Main Docker configuration
-- [`.env`](.env) - Environment variables
+- [`docker-compose.yml`](docker-compose.yml) - Main Docker configuration and environment variables
 - [`requirements.txt`](requirements.txt) - Python dependencies
 
 ### Sample Data Files