web: update roadmap

Author: codeaholicguy

web/content/roadmap/10-agent-management.md

@@ -4,4 +4,4 @@ status: in-progress
 order: 10
 ---
 
-Take control of your AI workforce. Agent Management will provide a unified dashboard to monitor, configure, and orchestrate multiple AI agents across your development environment. Define agent roles, set permissions, track activity logs, and manage resource allocation—all from a single interface—so you can scale your AI-assisted workflows with confidence and visibility.
+Agent management is now available through the CLI: you can detect running agents, list them, inspect details, focus their terminals, and send input to supported tools such as Claude Code and Codex. Broader orchestration features, richer cross-agent controls, and a more unified management surface are still in progress.

web/content/roadmap/2-integrations.md

@@ -1,7 +1,7 @@
 ---
 title: Coding Agent Integration
-status: in-progress
+status: completed
 order: 2
 ---
 
-Expand AI DevKit’s ecosystem with other AI coding agents such as: ChatGPT Codex, Gemini CLI, etc. The goal is to make AI DevKit the universal bridge between your favorite AI assistants and your development workflow, enabling smoother collaboration, faster iteration, and more consistent results.
+AI DevKit now supports a broad set of coding agents and environments, including Cursor, Claude Code, GitHub Copilot, Gemini CLI, Codex, OpenCode, and Antigravity, with additional environments still being tested. The goal remains the same: make AI DevKit the universal bridge between your preferred AI assistants and your development workflow.

web/content/roadmap/3-cli-enhancements.md

@@ -1,8 +1,7 @@
 ---
 title: CLI Enhancements & Workflows
-status: planned
+status: in-progress
 order: 2
 ---
 
-Expand CLI capabilities with interactive workflows, better error handling, and enhanced command chaining. Focus on improving developer experience and reducing friction in the structured development process.
-
+The CLI now includes interactive setup and skill flows, install and lint commands, memory updates, and stronger terminal output patterns. We are still expanding workflow coverage and polishing command ergonomics to reduce friction in day-to-day use.

web/content/roadmap/7-memory-management.md

@@ -1,7 +1,7 @@
 ---
 title: Memory Management
-status: planned
+status: in-progress
 order: 7
 ---
 
-Keep your AI's knowledge base clean and relevant. We are building tools that allow you to easily browse, edit, merge, and delete stored rules and patterns, ensuring your agents don't get confused by outdated or conflicting information as your project evolves.
+Memory management is underway. AI DevKit already supports storing, searching, and updating memory entries, and the next step is expanding that into easier browse, merge, and delete workflows so your knowledge base stays clean as projects evolve.