Technical Stack

This page provides a clear, categorized list of the key technologies, frameworks, and platforms used to build the Frisque application.

Category	Technology / Service	Description
Backend Framework	Django	The core web framework for the user-facing application, API, and data management.
AI Agent Framework	Google Agent Development Kit (ADK)	The toolkit used to build, debug, and orchestrate our specialized AI agents.
Database	PostgreSQL	A robust, open-source relational database for storing structured data like user accounts and scan jobs.
Asynchronous Tasks	Celery & RabbitMQ	The system for running long, time-consuming AI analysis tasks in the background without blocking the user.
Real-time Comms	Django Channels	Enables real-time communication with the user's browser using WebSockets for live progress updates.
Object Storage	Google Cloud Storage (GCS)	A scalable service for storing large, unstructured files like uploaded pitch decks and generated reports.
Containerization	Docker & Docker Compose	The platform for packaging our application and its services into isolated containers, ensuring a consistent development and deployment environment.
Infrastructure as Code	Terraform	The tool for defining and managing our cloud infrastructure programmatically, making our setup repeatable and version-controlled.
Cloud Platform	Google Cloud Platform (GCP)	The primary cloud provider for hosting all our services, including Cloud Run, Cloud SQL, and a suite of AI/ML tools.
AI Models	Google AI (Gemini)	The primary suite of Large Language Models (LLMs) used to power the reasoning capabilities of our agents.