fn get_context() {
  // resolve types...
}

interface UserService {
  findById(id: string)
}

Now accepting early access signups

Stop feeding LLMs blind.
Give them the full picture.

Promptex automatically enriches your AI coding prompts with the right context — types, definitions, references, dependency graphs — so every generation is accurate.

Join the waitlist. No spam, just early access.

promptex — context enrichment

$ promptex enrich "Add error handling to UserService"

⟐ Resolving UserService → src/services/user.ts

⟐ Following references → 3 consumers found

⟐ Resolving types → User, UserRole, ServiceError

⟐ Mapping dependencies → DatabaseClient, Logger

✓ Context enriched — 12 symbols, 4 files, 847 tokens

The Problem

The Context Crisis

LLMs generate broken code because they can't see your codebase. You shouldn't have to be the bridge.

Missing types & imports

LLMs hallucinate APIs and invent interfaces that don't exist in your codebase.

Copy-paste overhead

Developers waste hours manually gathering files and pasting them into prompts.

Broken dependencies

Generated code ignores your actual dependency graph, causing cascading errors.

Without Promptex

// LLM output — guessing at your codebase

import { UserModel } from './models' ✗ wrong path

const user = await db.findUser(id) ✗ method doesn't exist

return { role: user.role } ✗ wrong type shape

With Promptex

// LLM output — full context provided

import { User } from '@/entities/user' ✓

const user = await userService.findById(id) ✓

return { role: user.role as UserRole } ✓

How It Works

Three steps to perfect context

You write a prompt

Describe what you need in natural language — just like you already do with Copilot, Cursor, or ChatGPT.

>"Add retry logic to the payment service"

Promptex gathers context

IDE-level analysis kicks in — Go To Definition, references, type hierarchies, dependency graphs. All automatic.

⟐ Go To Definition → PaymentService

⟐ Find References → 8 call sites

⟐ Type Hierarchy → BaseService → PaymentService

⟐ Dependency Graph → StripeClient, Logger

LLM generates with full context

Your LLM receives enriched context and generates accurate, production-ready code that actually works with your codebase.

✓ Correct imports, real types, valid APIs

Features

Everything your LLM is missing

Context-Aware Prompt Enrichment

Automatically analyzes your prompt intent and attaches the exact code context your LLM needs — no manual file selection.

IDE Bridge

Leverages Go To Definition, Find References, and Type Hierarchies — the same intelligence your IDE uses, now powering your AI prompts.

Works With Any LLM Tool

Copilot, Cursor, Claude, ChatGPT, or your own setup. Promptex enriches the context layer so any LLM tool performs better.

Zero Configuration

Install, point at your project, and go. Promptex auto-detects your language, framework, and project structure.

Early Feedback

Developers are already excited

“I spend 30% of my time curating context for AI tools. This solves that entirely.”

Sarah K.

Staff Engineer

“Finally — someone bridging the gap between IDE intelligence and LLM prompts. This is the missing piece.”

Marcus R.

Tech Lead

“The before/after difference in code quality is night and day. Can't go back.”

Priya S.

Senior Developer

Join 500+ developers on the waitlist

Stop feeding LLMs blind.Give them the full picture.