Build Apps with Claude 3.5 Sonnet
Anthropic's most capable coding model. Produces exceptionally clean, well-architected code with thorough error handling.
medium Speed
Response time
excellent Quality
Code output
8 Frameworks
Supported
How Claude 3.5 Sonnet Writes Code
Known for exceptionally clean code architecture with thorough error handling, proper TypeScript types, and well-structured component hierarchies. Produces code that looks like it was written by an experienced senior developer.
Code Quality Details
Sample Output from Claude 3.5 Sonnet
Prompt: "Build a temperature converter (Celsius, Fahrenheit, Kelvin)"
import { useState, useCallback } from "react"
type Unit = "celsius" | "fahrenheit" | "kelvin"
const conversions: Record<Unit, Record<Unit, (v: number) => number>> = {
celsius: {
celsius: v => v,
fahrenheit: v => (v * 9) / 5 + 32,
kelvin: v => v + 273.15,
},
fahrenheit: {
celsius: v => ((v - 32) * 5) / 9,
fahrenheit: v => v,
kelvin: v => ((v - 32) * 5) / 9 + 273.15,
},
kelvin: {
celsius: v => v - 273.15,
fahrenheit: v => ((v - 273.15) * 9) / 5 + 32,
kelvin: v => v,
},
}
function TemperatureConverter() {
const [value, setValue] = useState("")
const [fromUnit, setFromUnit] = useState<Unit>("celsius")
const convert = useCallback(
(to: Unit) => {
const num = parseFloat(value)
if (isNaN(num)) return "—"
return conversions[fromUnit][to](num).toFixed(1)
},
[value, fromUnit]
)
const units: { key: Unit; label: string; symbol: string }[] = [
{ key: "celsius", label: "Celsius", symbol: "°C" },
{ key: "fahrenheit", label: "Fahrenheit", symbol: "°F" },
{ key: "kelvin", label: "Kelvin", symbol: "K" },
]
return (
<div className="max-w-sm mx-auto p-6 space-y-4">
<input type="number" value={value}
onChange={e => setValue(e.target.value)}
placeholder="Enter temperature"
className="w-full border rounded-lg px-4 py-3 text-lg" />
<select value={fromUnit}
onChange={e => setFromUnit(e.target.value as Unit)}
className="w-full border rounded-lg px-4 py-2">
{units.map(u => (
<option key={u.key} value={u.key}>{u.label}</option>
))}
</select>
<div className="grid gap-2">
{units.filter(u => u.key !== fromUnit).map(u => (
<div key={u.key}
className="flex justify-between p-3 bg-gray-50 rounded-lg">
<span className="text-gray-600">{u.label}</span>
<span className="font-mono font-semibold">
{convert(u.key)} {u.symbol}
</span>
</div>
))}
</div>
</div>
)
}Claude 3.5 Sonnet's signature: a clean data-driven architecture with a lookup table for conversions instead of chained if/else. Note the TypeScript discriminated types, useCallback for memoization, and graceful NaN handling.
Strengths
Claude 3.5 Sonnet stands out for several key capabilities that make it a strong choice for AI-assisted development.
- Best-in-class code architecture
- Excellent error handling
- Strong multi-file output
- Great at complex UIs
Considerations
Being transparent about trade-offs helps you choose the right model. Here are some things to keep in mind with Claude 3.5 Sonnet.
- •Can be overly cautious with certain prompts
- •Occasionally adds unnecessary safety checks
- •Slightly slower for simple one-file apps
Best For
Supported Frameworks
Use Claude 3.5 Sonnet to build apps with any of these frameworks. Click a card to explore templates and example prompts.
Frequently Asked Questions
Is Claude 3.5 Sonnet good for code generation?
Yes. Claude 3.5 Sonnet by Anthropic is well-suited for code generation, with excellent code output quality and strengths in Best-in-class code architecture and Excellent error handling. It excels at Complex dashboards, Multi-component applications. Many developers use Claude 3.5 Sonnet with LoomCode AI to build working apps from natural language descriptions across React, Next.js, Vue, Python, and other frameworks.
How fast is Claude 3.5 Sonnet for building apps?
Claude 3.5 Sonnet offers medium speed for code generation, which means response times are typically a few seconds, balancing speed with quality. With LoomCode AI, you describe your app in plain English and receive runnable code. For rapid prototyping and MVP development, its thorough approach pays off for complex projects.
What frameworks work with Claude 3.5 Sonnet?
Claude 3.5 Sonnet supports all 8 frameworks available in LoomCode AI: React, Next.js, Vue.js, Python, Streamlit, Gradio, PHP, and Laravel. Whether you need a React single-page app, a Next.js full-stack project, a Streamlit data dashboard, or a Laravel backend, Claude 3.5 Sonnet can generate working code. Each framework has optimized prompts and templates—simply choose your framework and describe what you want to build.
How much does Claude 3.5 Sonnet cost?
Pay-per-use via Anthropic API. LoomCode AI lets you try Claude 3.5 Sonnet without any upfront cost—you only pay for API usage based on your provider's pricing. For developers on a budget, some models offer free tiers or extremely low per-token rates. Check Anthropic's current pricing page for the latest rates.
Can Claude 3.5 Sonnet build complex applications?
Yes. Claude 3.5 Sonnet can build complex applications including multi-page dashboards, CRUD systems, data visualization tools, and full-stack apps. Its excellent quality output and 200K tokens context window allow it to handle sophisticated requirements. Keep in mind: can be overly cautious with certain prompts occasionally adds unnecessary safety checks. For the most demanding projects, we recommend iterating in smaller steps or using more specific prompts.
Ready to build with Claude 3.5 Sonnet?
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