Initial Aegis Stack foundation - project structure and AI context

[lbedner]

Initial setup of core components.

[Copilot]

Pull Request Overview

This PR establishes the foundational structure for the Aegis Stack project, a production-ready Python foundation built on FastAPI and Flet. The implementation provides a minimal but complete application with automatic service discovery, lifecycle management, structured logging, and modern documentation setup.

• Complete project structure with frontend (Flet), backend (FastAPI), and core service architecture
• Automatic service discovery system enabling "drop-in" service registration
• Registry-based lifecycle management for startup/shutdown tasks with comprehensive documentation

Reviewed Changes

Copilot reviewed 25 out of 34 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
pyproject.toml	Project configuration with FastAPI, Flet dependencies and development tools
app/integrations/main.py	Main application factory integrating Flet frontend with FastAPI backend
app/core/lifecycle.py	Lifecycle task registry for startup/shutdown event management
app/core/discovery.py	Service auto-discovery mechanism for dynamic module importing
app/core/log.py	Structured logging setup with environment-based formatting
app/backend/api/health.py	Health check API endpoints for monitoring
tests/test_health.py	Comprehensive test suite for health endpoints
docs/	Complete documentation structure with MkDocs configuration
Makefile	Development workflow automation with common tasks

Comments suppressed due to low confidence (2)

pyproject.toml:5

• Ruff version v0.12.7 may not exist. Consider using a verified version like v0.1.15 or check the latest available version.

readme = "README.md"

app/core/log.py:7

• [nitpick] The comment should be placed after the import statements and before the logger definition for better code organization.

output for production environments.