Carlos Florêncio
52 lines
1.9 KiB
TypeScript
52 lines
1.9 KiB
TypeScript
import { DocsShell } from '@/components/docs-shell';
|
|
import { DocsCard } from '@/components/docs-card';
|
|
import { DocsCode } from '@/components/docs-code';
|
|
|
|
export default function DocsPage() {
|
|
return (
|
|
<DocsShell
|
|
eyebrow="Getting Started"
|
|
title="Documentation"
|
|
description="Learn how kandev.ai orchestrates AI agents across isolated worktrees, Docker containers, and a WebSocket-first control plane."
|
|
>
|
|
<section className="grid gap-4 md:grid-cols-2">
|
|
<DocsCard title="What is kandev.ai?" variant="accent">
|
|
<p>
|
|
kandev.ai is a WebSocket-first platform that pairs Kanban task management with AI-assisted execution.
|
|
Every task runs inside a dedicated git worktree and a Docker container, with approvals for sensitive
|
|
operations.
|
|
</p>
|
|
</DocsCard>
|
|
<DocsCard title="Why teams use it">
|
|
<ul className="space-y-2">
|
|
<li>Ship in parallel without branch conflicts.</li>
|
|
<li>Keep execution auditable and reviewable.</li>
|
|
<li>Stream progress updates in real time.</li>
|
|
</ul>
|
|
</DocsCard>
|
|
</section>
|
|
|
|
<DocsCard title="Core workflow" variant="muted">
|
|
<p>From task creation to approval, kandev.ai follows a consistent loop.</p>
|
|
<DocsCode>{`1. Create task on the board
|
|
2. Start agent container via agentctl
|
|
3. Initialize ACP session
|
|
4. Stream progress over WebSocket
|
|
5. Review and approve output`}</DocsCode>
|
|
</DocsCard>
|
|
|
|
<section className="grid gap-4 md:grid-cols-3">
|
|
<DocsCard title="Workspaces">
|
|
<p>Group repositories, boards, and team settings.</p>
|
|
</DocsCard>
|
|
<DocsCard title="Boards" variant="accent">
|
|
<p>Model your workflow with Kanban columns.</p>
|
|
</DocsCard>
|
|
<DocsCard title="Tasks">
|
|
<p>Define the scope, constraints, and agent requirements.</p>
|
|
</DocsCard>
|
|
</section>
|
|
</DocsShell>
|
|
);
|
|
}
|