DevOps AI Toolkit

# Roadmap This document outlines the planned direction and priorities for DevOps AI Toolkit. This roadmap is a living document and may change based on community feedback and project priorities. ## Short-term (Next 1-3 Months) - AI provider comparison and benchmarking infrastructure (PRD #139) - Parallel capability analysis for 10x faster cluster scanning (PRD #155) - Guided setup system to simplify onboarding (PRD #165) - CNCF Foundation Sandbox submission (PRD #173) - Standardized embedding architecture on Vercel AI SDK (PRD #176) - Dynamic credential management for multi-user MCP deployments (PRD #180) - Controller-based autonomous capability scanning with event-driven updates (PRD #216) - Deployment documentation & example-based learning (PRD #228) - GitOps tool with Argo CD support - standalone package detection and Application generation (PRD #264) - Flux support for GitOps tool (PRD #265) - GitOps integration in recommend workflow (PRD #266) - Documentation validation system - crawling, readability, syntax validation (PRD #262) - Intelligent CI/CD workflow generation with full repository analysis (PRD #263) ## Medium-term (3-6 Months) - Multi-step workflow distributed tracing (PRD #197) - Remediation observability integration (PRD #150) - Integrate patterns & policies into remediation tool (PRD #227) - Pattern & policy learning system with AI-driven suggestions (PRD #218) ## Long-term (6-12 Months) - Code analysis engine for automated deployment recommendations (PRD #22) - Web UI for MCP server interaction (PRD #109) - Agent-to-Agent (A2A) protocol support for multi-agent orchestration (PRD #199) - Remove Anthropic SDK, consolidate on Vercel AI SDK (PRD #238) ## How to Contribute We welcome contributions toward any roadmap items: 1. Check the [issue tracker](https://github.com/vfarcic/dot-ai/issues) for related work 2. Comment on issues or open discussions 3. See [CONTRIBUTING.md](../CONTRIBUTING.md) for guidelines --- *This roadmap reflects current plans but is subject to change.*