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A collection of practical design patterns and blueprints for building safe, robust, and production-ready Generative AI systems. This repository is a resource for CTOs, VPs of Engineering, and architects who are responsible for implementing AI that delivers business value without introducing unacceptable risk.
Unlike code-focused repositories, this collection emphasizes the architectural principles and guardrails needed to transform "black box" models into predictable, enterprise-grade assets.
This is a living project. The architectural challenges of enterprise AI are constantly evolving, and so is this repository. Future blueprints on our roadmap include:
- The Legacy Adapter Pattern: Strategies for safely connecting modern AI to brittle, legacy systems.
- The Hybrid Team Workflow Pattern: A framework for managing the friction between agile engineering teams and exploratory data science teams.
- The Cost Governance Pattern: Architectures for monitoring, alerting, and controlling the financial spend of production AI systems.
I'm Kiryl Bahdanau, an AI advisor helping businesses architect and implement effective and safe AI strategies. If you're a tech leader looking to de-risk your AI roadmap, let's connect.
This work is licensed under the Creative Commons Attribution 4.0 International License.
In plain English: You are free to share and adapt this work for any purpose, including commercially, as long as you provide appropriate credit.