
AI-powered FDE platform for customer deployments, RAG, secure integrations, human-in-the-loop workflows, evaluations, and observability.
DeployOps AI is a production-oriented Applied AI / Forward Deployed Engineering (FDE) platform. It explores how AI can help software teams understand complex systems, work with project knowledge, investigate problems, and propose controlled actions while keeping people in the decision loop. The project combines full-stack engineering, RAG, tool calling, evaluations, observability, secure integrations, and human-in-the-loop workflows in an end-to-end system. The system models the workflow of an FDE team embedding with enterprise customers. It supports onboarding customer workspaces with RBAC and member invitations, tracking customers and deployments through a pipeline, connecting customer systems via a secure Integrations Hub, operating an AI copilot with strict tool calling and RAG over customer docs, and using human-in-the-loop approvals for sensitive actions. It also includes evaluation datasets and AI observability, traces, and incidents. Architecturally, the React dashboard communicates with a Laravel API, while AI workloads route to a FastAPI service. Operational data is stored in MySQL, embeddings in PostgreSQL with pgvector, and Redis backs Laravel queues and cache. The project is in active development; foundation milestones PR1–PR10 are complete, and it continues through incremental PRs focused on project intelligence, grounded context, reliability, and portfolio polish.
Teams use DeployOps AI to onboard a customer workspace with RBAC and member invitations.
Teams use DeployOps AI to track customers and deployments through a pipeline.
Teams use DeployOps AI to connect customer systems via a secure Integrations Hub.
Teams use DeployOps AI to operate an AI copilot with strict tool calling, RAG over customer docs, and human-in-the-loop approvals for sensitive actions.
Teams use DeployOps AI to measure quality with evaluation datasets and monitor reliability with AI observability, traces, and incidents.
Teams use DeployOps AI to manage customers, deployments, integrations, knowledge documents, evaluations, and workspace members through a React dashboard.
Teams use DeployOps AI to upload knowledge documents via the dashboard to populate the Knowledge Base.
Teams use DeployOps AI to review AI-proposed sensitive deployment actions before they are approved.
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