"use client" import { useEffect, useRef, useState, useCallback } from "react" import { GitPullRequest, GitMerge, MessageSquare, CheckCircle2, Clock, AlertCircle, Zap, GitCommit, Eye, Terminal } from "lucide-react" // ── Data ───────────────────────────────────────────────────────────────────── const ALL_PRS = [ { id: 145, title: "feat: multi-agent orchestration v2", agent: "orchestrator", status: "review", comments: 2, additions: 57, deletions: 4, branch: "feat/orchestration-v2", time: "Just now" }, { id: 144, title: "fix: memory context window overflow", agent: "analyst-agent", status: "review", comments: 1, additions: 18, deletions: 3, branch: "fix/ctx-overflow", time: "1m ago" }, { id: 143, title: "feat: streaming tool response", agent: "monitor-agent", status: "merged", comments: 4, additions: 93, deletions: 11, branch: "feat/stream-tools", time: "1m ago" }, { id: 142, title: "feat: add memory context to executor", agent: "executor-agent", status: "merged", comments: 3, additions: 84, deletions: 12, branch: "feat/memory-ctx", time: "2m ago" }, { id: 141, title: "fix: rate limit backoff strategy", agent: "monitor-agent", status: "approved",comments: 1, additions: 31, deletions: 8, branch: "fix/rate-backoff", time: "8m ago" }, { id: 140, title: "feat: parallel tool execution", agent: "researcher-agent",status: "review", comments: 5, additions: 142, deletions: 27, branch: "feat/parallel-tools", time: "22m ago" }, { id: 139, title: "refactor: orchestrator pipeline", agent: "analyst-agent", status: "merged", comments: 7, additions: 209, deletions: 88, branch: "refactor/pipeline", time: "1h ago" }, ] const ALL_REVIEW_FILES = [ { file: "agent/executor.ts", pct: 72 }, { file: "lib/tools/index.ts", pct: 45 }, { file: "core/planner.ts", pct: 88 }, { file: "utils/retry.ts", pct: 31 }, { file: "agent/memory.ts", pct: 60 }, ] const ALL_REVIEW_LINES: { type: "comment"|"approve"|"change"|"code"; text: string; author?: string }[] = [ { type: "code", text: 'const ctx = await memory.load(task.id)' }, { type: "comment", text: "Should we cache this per agent run?", author: "analyst-agent" }, { type: "code", text: 'return researcher.execute(task, ctx)' }, { type: "approve", text: "LGTM — memory scope looks correct", author: "monitor-agent" }, { type: "code", text: 'export const run = async (task) => {' }, { type: "change", text: "Consider adding retry logic here", author: "executor-agent" }, { type: "code", text: ' const plan = await planner.run(goal)' }, { type: "approve", text: "Approved — ship it", author: "orchestrator" }, { type: "code", text: ' await ctx.memory.save(result)' }, { type: "comment", text: "Add error boundary here", author: "monitor-agent" }, { type: "code", text: 'return { status: "done", result }' }, { type: "approve", text: "All checks pass", author: "analyst-agent" }, ] const COMMITS = [ { hash: "a3f8c21", msg: "fix: memory leak in long-running agents", time: "Just now" }, { hash: "b7d2e09", msg: "feat: streaming response for analyst", time: "4m ago" }, { hash: "c9a1f34", msg: "chore: bump @agentic/sdk to 2.4.1", time: "12m ago" }, { hash: "d4e6b78", msg: "perf: reduce token overhead by 18%", time: "31m ago" }, { hash: "e2c9d56", msg: "feat: add guardrails to executor-agent", time: "1h ago" }, ] // Activity graph data — 7 cols x 5 rows like GitHub contributions const ACTIVITY_SEED = Array.from({ length: 35 }, () => ({ level: Math.random() > 0.4 ? Math.floor(Math.random() * 4) + 1 : 0, })) // ── Sub-components ──────────────────────────────────────────────────────────── // Smooth 60fps bar chart — canvas fills full container width function MiniBarGraph({ seed }: { seed: number }) { const canvasRef = useRef(null) const rafRef = useRef(0) const barsRef = useRef([]) useEffect(() => { const N = 20 // Initialise bars with a seeded pattern barsRef.current = Array.from({ length: N }, (_, i) => 0.2 + 0.8 * Math.abs(Math.sin((i + seed) * 1.3)) ) const canvas = canvasRef.current if (!canvas) return const ctx = canvas.getContext("2d")! const draw = () => { const W = canvas.offsetWidth const H = canvas.offsetHeight canvas.width = W * devicePixelRatio canvas.height = H * devicePixelRatio ctx.scale(devicePixelRatio, devicePixelRatio) ctx.clearRect(0, 0, W, H) // Slowly drift each bar toward a new random target barsRef.current = barsRef.current.map((v, i) => { const target = 0.15 + 0.85 * Math.abs(Math.sin(Date.now() / 3000 + i * 0.8 + seed)) return v + (target - v) * 0.012 // lerp — very smooth }) const bars = barsRef.current const gap = 2 const bw = (W - gap * (N - 1)) / N bars.forEach((v, i) => { const bh = v * H const x = i * (bw + gap) const y = H - bh ctx.beginPath() ctx.roundRect(x, y, bw, bh, 2) ctx.fillStyle = `rgba(17,17,17,${0.12 + v * 0.65})` ctx.fill() }) rafRef.current = requestAnimationFrame(draw) } rafRef.current = requestAnimationFrame(draw) return () => cancelAnimationFrame(rafRef.current) }, [seed]) return } // Smooth 60fps area sparkline — fills full width function LiveSparkline({ seed }: { seed?: number }) { const canvasRef = useRef(null) const rafRef = useRef(0) const ptsRef = useRef([]) useEffect(() => { const N = 24 ptsRef.current = Array.from({ length: N }, (_, i) => 0.1 + 0.7 * Math.abs(Math.sin(i * 0.6 + (seed ?? 0))) ) const canvas = canvasRef.current if (!canvas) return const ctx = canvas.getContext("2d")! const draw = () => { const W = canvas.offsetWidth const H = canvas.offsetHeight canvas.width = W * devicePixelRatio canvas.height = H * devicePixelRatio ctx.scale(devicePixelRatio, devicePixelRatio) ctx.clearRect(0, 0, W, H) // Scroll left: drop first point, lerp last toward new target const last = ptsRef.current[ptsRef.current.length - 1] const target = 0.1 + 0.85 * (0.5 + 0.5 * Math.sin(Date.now() / 2200 + (seed ?? 0))) ptsRef.current = [...ptsRef.current.slice(1), last + (target - last) * 0.04] const pts = ptsRef.current const step = W / (N - 1) // Area fill const grad = ctx.createLinearGradient(0, 0, 0, H) grad.addColorStop(0, "rgba(17,17,17,0.10)") grad.addColorStop(1, "rgba(17,17,17,0)") ctx.beginPath() ctx.moveTo(0, H) pts.forEach((v, i) => ctx.lineTo(i * step, H - v * H * 0.9)) ctx.lineTo(W, H) ctx.closePath() ctx.fillStyle = grad ctx.fill() // Line ctx.beginPath() pts.forEach((v, i) => { const x = i * step, y = H - v * H * 0.9 i === 0 ? ctx.moveTo(x, y) : ctx.lineTo(x, y) }) ctx.strokeStyle = "rgba(17,17,17,0.75)" ctx.lineWidth = 1.5 ctx.lineJoin = "round" ctx.lineCap = "round" ctx.stroke() // Dot at end const ex = W const ey = H - pts[pts.length - 1] * H * 0.9 ctx.beginPath() ctx.arc(ex, ey, 2.5, 0, Math.PI * 2) ctx.fillStyle = "rgba(17,17,17,0.85)" ctx.fill() rafRef.current = requestAnimationFrame(draw) } rafRef.current = requestAnimationFrame(draw) return () => cancelAnimationFrame(rafRef.current) }, [seed]) return } // Smooth 60fps dot/line graph — fills full width function MiniDotGraph({ seed }: { seed?: number }) { const canvasRef = useRef(null) const rafRef = useRef(0) const ptsRef = useRef([]) useEffect(() => { const N = 18 ptsRef.current = Array.from({ length: N }, (_, i) => 0.1 + 0.8 * Math.abs(Math.sin(i * 0.9 + (seed ?? 2))) ) const canvas = canvasRef.current if (!canvas) return const ctx = canvas.getContext("2d")! const draw = () => { const W = canvas.offsetWidth const H = canvas.offsetHeight canvas.width = W * devicePixelRatio canvas.height = H * devicePixelRatio ctx.scale(devicePixelRatio, devicePixelRatio) ctx.clearRect(0, 0, W, H) const last = ptsRef.current[ptsRef.current.length - 1] const target = 0.1 + 0.85 * (0.5 + 0.5 * Math.sin(Date.now() / 2800 + (seed ?? 2) * 1.5)) ptsRef.current = [...ptsRef.current.slice(1), last + (target - last) * 0.03] const pts = ptsRef.current const step = W / (N - 1) // Dashed connector line ctx.beginPath() pts.forEach((v, i) => { const x = i * step, y = H - v * H * 0.88 i === 0 ? ctx.moveTo(x, y) : ctx.lineTo(x, y) }) ctx.strokeStyle = "rgba(17,17,17,0.15)" ctx.lineWidth = 1 ctx.setLineDash([3, 3]) ctx.stroke() ctx.setLineDash([]) // Dots pts.forEach((v, i) => { const x = i * step, y = H - v * H * 0.88 ctx.beginPath() ctx.arc(x, y, 2.2, 0, Math.PI * 2) ctx.fillStyle = `rgba(17,17,17,${0.2 + v * 0.65})` ctx.fill() }) rafRef.current = requestAnimationFrame(draw) } rafRef.current = requestAnimationFrame(draw) return () => cancelAnimationFrame(rafRef.current) }, [seed]) return } function StatusBadge({ status }: { status: string }) { const cfg = { merged: { bg: "rgba(130,80,255,0.1)", color: "#8250df", icon: , label: "Merged" }, approved: { bg: "rgba(40,167,69,0.1)", color: "#28a745", icon: , label: "Approved" }, review: { bg: "rgba(201,169,110,0.12)",color: "#b07d30", icon: , label: "In Review"}, }[status] ?? { bg: "#eee", color: "#666", icon: null, label: status } return ( {cfg.icon}{cfg.label} ) } function Bar({ pct, color = "rgba(0,0,0,0.75)" }: { pct: number; color?: string }) { const [w, setW] = useState(0) useEffect(() => { const t = setTimeout(() => setW(pct), 600) return () => clearTimeout(t) }, [pct]) return (
) } function Counter({ to, suffix = "" }: { to: number; suffix?: string }) { const [val, setVal] = useState(0) useEffect(() => { let s: number | null = null const f = (ts: number) => { if (!s) s = ts const p = Math.min((ts - s) / 1100, 1) setVal(Math.round((1 - Math.pow(1 - p, 3)) * to)) if (p < 1) requestAnimationFrame(f) } requestAnimationFrame(f) }, [to]) return <>{val}{suffix} } function LiveDot() { return ( ) } // Activity heatmap cell function HeatCell({ level, animDelay }: { level: number; animDelay: number }) { const [visible, setVisible] = useState(false) useEffect(() => { const t = setTimeout(() => setVisible(true), animDelay); return () => clearTimeout(t) }, [animDelay]) const colors = ["rgba(0,0,0,0.05)", "rgba(0,0,0,0.15)", "rgba(0,0,0,0.32)", "rgba(0,0,0,0.55)", "rgba(0,0,0,0.8)"] return (
) } // Animated typing cursor in review function ReviewLine({ item, delay }: { item: typeof REVIEW_LINES[0]; delay: number }) { const [visible, setVisible] = useState(false) useEffect(() => { const t = setTimeout(() => setVisible(true), delay); return () => clearTimeout(t) }, [delay]) if (!visible) return null if (item.type === "code") { return (
{item.text}
) } const iconCfg = { approve: { icon: , color: "#28a745" }, change: { icon: , color: "#b07d30" }, comment: { icon: , color: "rgba(0,0,0,0.5)" }, }[item.type] ?? { icon: null, color: "rgba(0,0,0,0.5)" } return (
{iconCfg.icon}
{item.text} {item.author && — {item.author}}
) } // ── Main ───────────────────────────────────────────────────────────────────── export function AgentInterface({ revealDelay = 0 }: { revealDelay?: number }) { const [revealed, setRevealed] = useState(false) const [mounted, setMounted] = useState(false) const [reqCount, setReqCount] = useState(1847) const [cursor, setCursor] = useState(true) const [prOffset, setPrOffset] = useState(0) const [reviewFileIdx, setReviewFileIdx] = useState(0) const [reviewFilePcts, setReviewFilePcts] = useState([72, 45, 88, 31, 60]) const [reviewLineIdx, setReviewLineIdx] = useState(0) const [activity, setActivity] = useState(ACTIVITY_SEED) // Slide-up reveal synced to intro animation end useEffect(() => { const t = setTimeout(() => setRevealed(true), revealDelay) return () => clearTimeout(t) }, [revealDelay]) // Internal content mounts 300ms after reveal starts (lets slide settle first) useEffect(() => { const t = setTimeout(() => setMounted(true), revealDelay + 300) return () => clearTimeout(t) }, [revealDelay]) // Live tasks/min counter useEffect(() => { const t = setInterval(() => { setReqCount(v => v + Math.floor(Math.random() * 8 + 2)) }, 1600) return () => clearInterval(t) }, []) // PR list auto-scroll: new PR arrives every 5s, list shifts useEffect(() => { if (!mounted) return const t = setInterval(() => setPrOffset(v => (v + 1) % (ALL_PRS.length - 3)), 4000) return () => clearInterval(t) }, [mounted]) // Code review: cycle through files and advance progress bars useEffect(() => { if (!mounted) return const t = setInterval(() => { setReviewFilePcts(p => p.map((v, i) => { const delta = Math.random() * 4 - 1 return Math.max(10, Math.min(99, v + (i === reviewFileIdx ? Math.abs(delta) + 1 : delta * 0.3))) })) }, 800) return () => clearInterval(t) }, [mounted, reviewFileIdx]) // Cycle active file highlight every 3s useEffect(() => { if (!mounted) return const t = setInterval(() => setReviewFileIdx(v => (v + 1) % ALL_REVIEW_FILES.length), 2800) return () => clearInterval(t) }, [mounted]) // Review lines appear one by one, then reset and loop useEffect(() => { if (!mounted) return const t = setInterval(() => { setReviewLineIdx(p => { if (p >= ALL_REVIEW_LINES.length) return 0 return p + 1 }) }, 650) return () => clearInterval(t) }, [mounted]) // Heatmap: occasional cell lights up useEffect(() => { if (!mounted) return const t = setInterval(() => { setActivity(prev => { const next = [...prev] const idx = Math.floor(Math.random() * next.length) next[idx] = { level: Math.min(4, next[idx].level + 1) } return next }) }, 700) return () => clearInterval(t) }, [mounted]) // Cursor blink useEffect(() => { const t = setInterval(() => setCursor(c => !c), 530); return () => clearInterval(t) }, []) const anim = (delay: number): React.CSSProperties => ({ opacity: mounted ? 1 : 0, transform: mounted ? "translateY(0)" : "translateY(10px)", transition: `opacity 0.7s cubic-bezier(0.16,1,0.3,1) ${delay}ms, transform 0.7s cubic-bezier(0.16,1,0.3,1) ${delay}ms`, }) const panel: React.CSSProperties = { background: "#fff", border: "1px solid rgba(0,0,0,0.07)", borderRadius: 10, overflow: "hidden" } const visiblePRs = ALL_PRS.slice(prOffset, prOffset + 4) return (
{/* Titlebar */}
{["#ff5f56","#ffbd2e","#27c93f"].map(c => ( ))}
agentic / platform — main
ALL SYSTEMS OPERATIONAL
{/* Metrics strip — fixed height */}
{[ { label: "PRs Merged today", val: 18, icon: , graph: }, { label: "Reviews completed", val: 34, icon: , graph: }, { label: "Agent commits", val: 127, icon: , graph: }, { label: "Tasks / min", val: reqCount, icon: , graph: }, ].map((m, i) => (
{m.icon} {m.label}
{mounted ? : "—"}
{mounted && m.graph}
))}
{/* Main 3-col body — fixed height container */}
{/* Col 1 — PR list */}
Pull Requests
{ALL_PRS.filter(p => p.status === "review").length} OPEN
{/* Fixed-height PR container — clips overflow, no layout shift */}
{visiblePRs.map((pr, i) => (
{pr.title}
{pr.branch} · {pr.agent}
+{pr.additions} -{pr.deletions}
{pr.comments}
{pr.time}
))}
{/* Heatmap — fixed height, no layout shift */}
Commit Activity
{activity.map((a, i) => )}
Less {[0,1,2,3,4].map(l => (
))} More
{/* Col 2 — Code Review — fixed height */}
Code Review — #{ALL_PRS[reviewFileIdx % ALL_PRS.length].id}
{/* Header — fixed */}
feat: parallel tool execution
+142 -27 5 files
{/* Progress bars — fixed height */}
{ALL_REVIEW_FILES.map((f, i) => (
{f.file} 70 ? "#28a745" : "#d73a49", transition: "color 0.4s ease", fontWeight: i === reviewFileIdx ? 700 : 400 }}>{Math.round(reviewFilePcts[i])}%
))}
{/* Review comments — fixed height, clips overflow, no scroll */}
{ALL_REVIEW_LINES.slice(0, reviewLineIdx).slice(-5).map((item, i) => ( ))}
{/* Col 3 — Commits + CI — fixed height */}
Recent Commits
{COMMITS.slice(0, 4).map((c, i) => (
{c.msg}
{c.hash} {c.time}
))}
CI / Agents
{[ { name: "researcher-agent", status: "passing", duration: "1m 32s" }, { name: "analyst-agent", status: "running", duration: "0m 48s" }, { name: "executor-agent", status: "passing", duration: "2m 11s" }, { name: "monitor-agent", status: "running", duration: "0m 54s" }, ].map((a, i) => (
{a.status === "running" ?
: } {a.name}
{a.duration}
))}
) }