Enterprise AI Development Platform
Full agentic workflow from ticket to production — requirements, planning, implementation, testing, verification, and PR — fully autonomous. 76+ skills across 10 AI platforms — Claude Code, Copilot CLI, VS Code Chat, Codex, Cursor, Windsurf, and more. Integrates with Azure DevOps, Jira, Figma, and live AEM data.
Why This Exists
Enterprise teams run complex sprints across multiple repos, multiple IDEs, and multiple team members. They need a system that handles the full lifecycle — requirements analysis, implementation planning, code generation, testing, verification, documentation, and PR creation — with governance at every step.
KAI is a structured development workflow built as a plugin system for enterprise teams. It encodes your entire sprint lifecycle — requirements, planning, execution, review, PR — into skills that orchestrate multi-agent pipelines across every major AI platform. A single command like /dx-req pulls the ticket from Azure DevOps or Jira, validates readiness against your DoR, distills developer requirements, researches the codebase with parallel subagents, and generates a team summary. Each skill chains specialized agents (Opus for deep review, Sonnet for execution, Haiku for lookups), gathers context from multiple sources (tickets, config, codebase, Figma designs, live AEM content), and writes structured output that the next skill picks up automatically.
Config-Driven
Your build commands, branch names, and conventions live in one config file. Every skill reads it. No hardcoded values, no repeated instructions.
Persistent Memory
Each skill writes structured output to local files. The next skill picks it up automatically. Sessions can end and resume without losing context.
Multi-Source Context
Skills don’t just read source code. They pull ADO/Jira tickets, Figma designs, AEM content, and browser screenshots through MCP integrations.
Autonomous Mode
The same skills that run locally also run unattended as ADO pipeline agents, triggered by webhooks. Tag a ticket, get a verified bugfix with a PR.
Every AI Platform
Same 76 skills work across 10 AI platforms — Claude Code, Copilot CLI, VS Code Chat, Codex, Cursor, Windsurf, and more. Install once, use everywhere.
Enterprise Governance
DoR validation, 6-phase verification gate, autonomous PR review, secret scanning, and branch protection. Ship with confidence.
Ready to Try?
Figma to Production Code
One command turns a Figma URL into a production AEM component. Powered by the included aem-mcp-server for live JCR access — dialogs, components, pages, and content queries are available to AI agents in real time.
/dx-figma-all <figma-url> /dx-figma-extract /dx-figma-prototype /dx-figma-verify /dx-plan + /dx-step-all For Designers & PMs
Design fidelity is verified before production code starts. Works with well-structured Figma files, adapts to hybrid designs, and even handles screenshot-based files.
For Developers
No manual pixel-matching. AI maps Figma tokens to your project’s existing SCSS variables, uses your BEM naming conventions, and generates WCAG-compliant ARIA patterns.
Every Phase Covered
AI assistance from ticket assignment through documentation -- no phase left behind.
Requirements
Fetch ticket (ADO or Jira), validate DoR, distill dev requirements, research codebase, generate team summary. Hours to minutes.
Design-to-Code
Extract Figma designs, generate convention-aware prototypes, verify against reference. Design to implementation-ready code.
Planning
Step-by-step implementation plan with dependency tracking, validation against requirements, and risk resolution.
Execution
Execute plan steps with test, review, commit loop. Self-healing with corrective steps on failure.
Code Review
6-phase verification gate: compile, lint, test, secret scan, architecture, AI code review with 80%+ confidence.
Pull Request
Auto-generated PR description from team summary, work item linking (ADO/Jira), branch management.
Four Plugins, Independently Installable
Core workflow for any stack. AEM specialization for teams that need it — 12 skills and 6 agents covering the full AEM development lifecycle.
dx-core
Full development lifecycle — requirements, planning, execution, review, PR, accessibility, documentation. Works with any stack.
dx-aem
AEM full-flow — component dialogs, JCR content, editorial QA, browser automation, demo capture. The complete AEM development lifecycle.
dx-automation
24/7 autonomous agents — DoR, PR review, bug fix, DevAgent, QA, estimation. AWS Lambda + ADO pipelines.
What Makes This Different
Built for enterprise development teams.
Config-Driven, Never Hardcoded
One config.yaml holds all project values. Same plugin codebase runs across 4 repos and 50+ potential projects without a code change.
Memory via Markdown
Each skill writes findings to a .md file. No database, no API — just files on disk. Survives session crashes. Next skill picks up automatically.
Direct Skill Invocation
Coordinators invoke skills directly via Skill() calls. No intermediary agent needed. Self-healing with 3 layers: fix, heal, retry loop.
Every AI Platform
Same 76 skills work across 10 AI platforms — Claude Code, Copilot CLI, VS Code Chat, Codex, Cursor, Windsurf, and more. Install once, use everywhere.
Model Tier Strategy
Opus for deep code review. Sonnet for execution. Haiku for simple lookups. Cost scales with complexity, not volume.
Dive Deeper
Figma-to-Code
Local Workflow
Bug Flow
Automation
Architecture
Costs
Demo
*Fully tested with Claude Code, Copilot CLI, and VS Code Chat. Built on open standards (OpenSkills, OpenPlugins, AGENTS.md, MCP) so all compatible platforms work out of the box. Some agents that haven’t fully adopted these standards yet are supported with platform-specific tweaks.