Cloud-Native AI Todo Platform
An advanced distributed system evolving from CLI to Cloud-Native. Features Spec-Driven Development and Kubernetes deployment.
The Challenge
Migrating legacy CLI logic to a distributed cloud-native architecture often leads to tech debt and inconsistent state management across microservices.
The Solution
Leveraged Spec-Driven Development with Claude Code to generate mathematically consistent service boundaries, using Kafka for event streaming and Dapr for robust service invocation.
System Architecture
Spec-Driven Core
Markdown Constitution and Specs for every feature, enabling autonomous AI code generation.
Agentic Workflows
Conversational interface managing task rescheduling via natural language orchestration.
Native Infrastructure
Full containerization with Docker and orchestration via Helm Charts on Kubernetes clusters.
Key Outcomes
Developed a 5-phase evolutionary project from Python CLI to full Cloud-Native.
Implemented Spec-Driven Development using Claude Code and Spec-Kit Plus.
Deployed resilient microservices on Minikube and DigitalOcean Kubernetes.
Built an event-driven architecture using Kafka and Dapr sidecars.