import React, { useState, useEffect } from 'react';
import {
Code2,
Terminal,
Cpu,
Zap,
Shield,
Search,
GitBranch,
Database,
FileText,
Layers,
ArrowRight,
Menu,
X,
ChevronDown,
ChevronUp,
Check,
Github,
Slack,
Twitter,
Linkedin
} from 'lucide-react';
// --- Components ---
const Navbar = () => {
const [isOpen, setIsOpen] = useState(false);
const [scrolled, setScrolled] = useState(false);
useEffect(() => {
const handleScroll = () => setScrolled(window.scrollY > 20);
window.addEventListener('scroll', handleScroll);
return () => window.removeEventListener('scroll', handleScroll);
}, []);
return (
);
};
const CodeWindow = () => (
{/* Window Controls */}
optimize_db.ts — Neuron Agent
{/* Content */}
{/* Code Area */}
{[...Array(12)].map((_, i) => {i + 1})}
import {`{ Pool }`} from 'pg';
// Initialize connection pool with optimization limits
const pool = new Pool({`{`}
max: 20,
idleTimeoutMillis: 30000,
connectionTimeoutMillis: 2000,
{`}`});
async function queryDB(sql, params) {`{`}
const start = Date.now();
const res = await pool.query(sql, params);
... optimization pending
{/* AI Chat Area */}
I noticed a potential bottleneck in your connection pool configuration.
Increasing idleTimeoutMillis might reduce latency during high traffic bursts. Should I refactor?
);
const Logo = ({ name }) => (
);
const FeatureItem = ({ icon: Icon, title, description }) => (
);
const LargeFeature = ({ title, description, imageContent, reversed = false }) => (
);
const Accordion = ({ question, answer }) => {
const [isOpen, setIsOpen] = useState(false);
return (
);
};
// --- Main App Component ---
const App = () => {
return (
{/* Hero Section */}
{/* Background Glows */}
New: Neuron 2.0 is now available
Build and ship faster
with Your AI partner
Neuron helps you visualize code structure, catch errors instantly, and accelerate your workflow from idea to deploy.
{/* Code Window Mockup */}
{/* Social Proof */}
TRUSTED BY ENGINEERING TEAMS AT
{/* Features List Section */}
Your AI coding
partner for...
Everything from simple bug fixes to complex architectural changes. Neuron understands your codebase deeply.
{/* Detailed Features Section */}
{/* Ambient background light */}
Capabilities
Why Developers Choose Neuron
Semantic Search
def calculate_metrics(data):
# references: 12 files
# complexity: O(n)
Analysis: Function handles critical reporting logic. Ensure null checks on 'data' param.
}
/>
}
/>
Context Memory
Project: E-commerce Core
Active Context: Auth Migration
}
/>
{/* Integrations Section */}
Available on your favorite tools...
{[Github, Terminal, Code2, Layers, Cpu, Database].map((Icon, idx) => (
))}
{/* FAQ Section */}
Frequently Asked Questions
{/* CTA Footer Section */}
{/* CTA Card Glow */}
{/* Inner decorative elements */}
Ship better code with Neuron
Join thousands of developers who are coding faster and happier.
{/* Footer */}
);
};
export default App;
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