Build faster when your AI
only sees what matters.
No controllers, no DTOs, no proto files.
Graftcode keeps your codebase clean so AI stays focused on your domain.
/WORKS WITH ANY MCP TOOL
/YOUR SYSTEM
Your AI reads too much. Produces too little.
Every IDL, controller, integration specific code burns tokens
Before AI writes a single business line of code it reads 3x more boilerplate.
Integration noise fills the context window
AI hallucinates and loses track with every new feature, every debugging session and every future change in code.
PRs balloon with integration code
When AI floods PRs with unnecessary code, nobody can tell what changed and you still need to review it.
Your AI reads too much. Produces too little.
Every IDL, controller, integration specific code burns tokens
Before AI writes a single business line of code it reads 3x more boilerplate.
Integration noise fills the context window
AI hallucinates and loses track with every new feature, every debugging session and every future change in code.
PRs balloon with integration code
When AI floods PRs with unnecessary code, nobody can tell what changed and you still need to review it.
Just business logic.
Nothing else.
PRs your team can actually review
AI touches only business logic.
AI that stays on track
No noise. No drift. No hallucinations.
60% less code. 60% fewer tokens
Every change, every code evolution become lightweight change of system critical business logic so you pay for what is meaningful for your business!
/BEFORE & AFTER
Same feature. 60% less code for AI to touch.
Without Graftcode your AI generates the integration layer too.
With Graftcode it never sees it.
AI without Graftcode
Write business logic
function calculateOrder(userId, items) {
return { userId, total: items.reduce((s, i) => s + i.price, 0) };
}REST controller
app.post('/orders', async (req, res) => {
const result = calculateOrder(req.body.userId, req.body.items);
res.json(result);
});DTOs & validation
const OrderSchema = z.object({
userId: z.string().uuid(),
items: z.array(z.object({
productId: z.string(),
quantity: z.number().int().positive(),
price: z.number().positive()
})).min(1)
});Client SDK
async function createOrder(userId, items) {
const res = await fetch('/orders', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ userId, items })
});
return res.json();
}AI with Graftcode
WRITE YOUR BUSINESS LOGIC
// @graft
function calculateOrder(userId, items) {
return { userId, total: items.reduce((s, i) => s + i.price, 0) };
}
module.exports = { calculateOrder };No integration code in your codebase. Ever_
Run Graftcode Gateway — your AI only sees what matters.
- No controllers for AI to generate
- No clients for AI to maintain
- No schemas drifting out of sync
Add a method → your AI can use it immediately
Change a signature → every caller updates automatically
Switch transport → one config line, zero code changes
/WHAT YOU GET
Less code. Sharper AI. Faster builds.
Remove the integration layer and your AI workflows get faster, cheaper, and easier to review — all at once.
60% fewer tokens
No controllers, no DTOs, no proto files. Your AI reads only business logic — nothing else.
Trivial pull requests
AI-generated PRs touch purely business logic. Your team reviews in minutes, not hours.
AI focused on your domain
No integration noise means sharper generation, better bugfixes, and cleaner code evolution.
Design matches your code
Pure classes and methods. No extra layers for AI or engineers to untangle.
Secure edge connections
HTTP/2, WebSocket Secure, PaaS message buses — routed with one config line, zero code changes.
Works with any stack
JavaScript, Python, Ruby, PHP, Java, C#, Groovy, Kotlin — one annotation, any runtime.
/FAQS
Before you ask
No. Requests still run as method calls through Graftcode Gateway with the transport you configure (HTTP/2, WebSocket Secure, message buses, and more). You drop boilerplate from the codebase and from the AI context window — not runtime throughput.
One skills file. All the benefits. Instantly.
Drop it into your AI agent and let it focus on what actually matters— your business logic.
