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Konvert — English to Code Compiler

Konvert — English to Code Compiler

abneesh singh

|
2 installs
| (0) | Free
Deterministic English-to-Code compiler — Write English, Ship Code. 0% Hallucinations, <2ms Latency, 100% Offline.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Konvert Logo

Konvert

Deterministic English-to-Code Compiler
Write English. Ship Production Code. 0% Hallucinations. <2ms Latency. 100% Offline.

License: MIT VS Code TypeScript Targets Hallucinations: 0% Privacy: 100% Offline


⚡ What is Konvert?

Konvert is an industrial-grade, deterministic English-to-Code compiler built for professional software engineering. It bridges the gap between natural human intent and typed, production-grade code in Python 3.12, Java 17/21, and C++20.

Unlike stochastic Large Language Models (LLMs) that guess code token-by-token and frequently hallucinate non-existent libraries or syntax bugs, Konvert processes structured intent through a formal recursive-descent compiler pipeline (Chevrotain parser + Abstract Syntax Tree).

🛡️ Why Konvert vs Cloud LLMs?

Dimension Stochastic LLMs (Copilot, ChatGPT) Konvert Compiler
Hallucination Rate 5% – 15% (invented APIs, subtle bugs) 0% Guaranteed (formal AST verification)
Compile Latency 1,500ms – 5,000ms (cloud round-trips) < 2 milliseconds (instant keystroke feedback)
Network & Privacy Cloud API required (sends code over wire) 100% Offline & Air-Gapped (zero telemetry)
Determinism Random & non-deterministic 100% Deterministic & Reproducible
Target Output 1 language per request Python, Java, and C++ simultaneously
Cost $10 – $30 / month per seat 100% Free & Open Source (MIT)

🏗️ Architecture

Konvert is engineered as a high-performance two-tier pipeline:

                  ┌─────────────────────────────────────────────────────────┐
                  │                 USER NATURAL INPUT                      │
                  │   "define async function fetchUser taking id as Int..." │
                  └────────────────────────────┬────────────────────────────┘
                                               │
               ┌───────────────────────────────┴───────────────────────────────┐
               ▼                                                               ▼
  [ Tier 1: Deterministic CNL ]                                [ Tier 2: Neural Normalizer ]
  Structured English Intent                                    Casual / Colloquial Phrasing
  Processed instantly by Lexer                                 Persistent Hot Daemon (Flan-T5)
               │                                                               │
               └───────────────────────────────┬───────────────────────────────┘
                                               │
                                               ▼
                         ┌───────────────────────────────────────────┐
                         │   FORMAL RECURSIVE-DESCENT PARSER         │
                         │   • Chevrotain Grammar 2.0 Engine         │
                         │   • AST Generation with Source Locations  │
                         │   • Scoped Symbol Table & Type Checking   │
                         └─────────────────────┬─────────────────────┘
                                               │
                        Universal Intermediate Representation (AST)
                                               │
                 ┌─────────────────────────────┼─────────────────────────────┐
                 ▼                             ▼                             ▼
       [ Python 3.12 Emitter ]       [ Java 21 Emitter ]            [ C++20 Emitter ]
       • PEP 8 Clean & Formatted     • Modern Records & Classes     • RAII & std::memory
       • Type Hints & `async/await`  • Streams & CompletableFuture  • Scoped Enums & Concepts
       • Injected `self` Scoping     • Auto Package & Class Wrap    • Modular Header (.hpp) Splits

📖 Grammar 2.0 Quick Reference

Konvert features an English-native syntax specification that feels natural to read while maintaining mathematical rigor:

1. Variables & Types

DECLARE user_id AS Int WITH VALUE 42
DECLARE username AS String WITH VALUE "alice"
DECLARE is_verified AS Bool WITH VALUE true
DECLARE scores AS List<Int> WITH VALUE [98, 92, 100]
DECLARE ratings AS Map<String, Double> WITH VALUE {"service": 4.9}

2. Enums & Interfaces

DEFINE ENUM Status:
    ACTIVE
    PENDING
    ARCHIVED
END ENUM

DEFINE INTERFACE PaymentService:
    DEFINE ASYNC FUNCTION process(amount: Float) -> Bool
END INTERFACE

3. Classes, Records & Methods

DEFINE CLASS User:
    FIELD id AS Int
    FIELD email AS String
    FIELD is_active AS Bool WITH DEFAULT true

    DEFINE FUNCTION get_contact() -> String:
        RETURN email
    END FUNCTION
END CLASS

4. Async Functions & Await

DEFINE ASYNC FUNCTION fetch_account(id: Int) -> User:
    DECLARE record AS User WITH VALUE AWAIT api.get(id)
    RETURN record
END FUNCTION

5. Control Flow & Error Handling

IF score >= 90:
    PRINT "Passed with Honors"
ELSE IF score >= 50:
    PRINT "Passed"
ELSE:
    PRINT "Failed"
END IF

FOR EACH item IN scores:
    PRINT item
END FOR

TRY:
    DECLARE res AS Bool WITH VALUE AWAIT service.execute()
CATCH err AS Error:
    PRINT "Failed to execute"
FINALLY:
    PRINT "Execution finished"
END TRY

💻 Multi-Target Code Output

One single Konvert specification simultaneously produces idiomatic, production-ready code across all 3 major enterprise languages:

Input (spec.cnl):

DEFINE ENUM Role:
    ADMIN
    USER
END ENUM

DEFINE CLASS Account:
    FIELD id AS Int
    FIELD role AS Role

    DEFINE ASYNC FUNCTION is_admin() -> Bool:
        RETURN role == Role.ADMIN
    END FUNCTION
END CLASS

Emitted Targets:

Python 3.12 Java 21 C++20
from enum import Enum

class Role(Enum):
    ADMIN = "ADMIN"
    USER = "USER"

class Account:
    def __init__(self, id: int, role: Role):
        self.id = id
        self.role = role

    async def is_admin(self) -> bool:
        return self.role == Role.ADMIN
import java.util.*;
import java.util.concurrent.*;

public record Account(int id, Role role) {
    public enum Role {
        ADMIN,
        USER
    }

    public CompletableFuture<Boolean> isAdmin() {
        return CompletableFuture.completedFuture(
            this.role == Role.ADMIN
        );
    }
}
#pragma once
#include <iostream>
#include <future>
#include <memory>

enum class Role {
    ADMIN,
    USER
};

struct Account {
    int id;
    Role role;

    std::future<bool> is_admin() {
        return std::async(std::launch::deferred, [this]() {
            return this->role == Role::ADMIN;
        });
    }
};

🧩 VS Code Extension

Konvert comes packaged as a high-performance VS Code extension.

Features

  • Split-Screen Live Compiler (Ctrl+Alt+K or Cmd+Alt+K): Opens an interactive split pane beside your active editor. As you write plain English, the generated Python, Java, or C++ refreshes in real-time with sub-2ms latency.
  • Inline Ghost-Text Completions: Write #? <intent> in Python or //? <intent> in Java/C++ to receive instant deterministic inline completions. Press Tab to accept.
  • Automated Neural Engine Delivery: On first activation, Konvert provides a 1-click prompt to fetch the compressed neural model weights directly into your machine's persistent storage.

🖥️ Command Line Interface (CLI)

Konvert provides a globally linked binary (konvert) for building and compiling code in scripts and CI/CD pipelines:

# 1. Scaffold a new multi-file enterprise project
konvert init my-service

# 2. Compile an entire project with automatic cross-module dependency resolution
konvert build --lang=python
konvert build --lang=java
konvert build --lang=cpp
konvert build --lang=all

# 3. Check for syntax or semantic errors
konvert check

# 4. Compile a single English snippet directly from terminal
konvert compile "DECLARE port AS Int WITH VALUE 8080" --lang=python

# 5. Manage local AI model weights
konvert model status
konvert model download

🤖 Antigravity AI Agent Integration

Konvert is registered as a native agent skill within Google Antigravity:

Skill Location: ~/.gemini/config/skills/konvert/SKILL.md

Autonomous agents can invoke Konvert to write hundreds of thousands of lines of bulletproof business logic with guaranteed 0% hallucinations.


🛠️ Development & Testing

# Clone the repository
git clone https://github.com/abneeshsingh21/konvert.git
cd konvert

# Install dependencies
npm install

# Build TypeScript compiler
npm run build

# Run comprehensive test suite (36 tests)
npm test

# Package VS Code extension
npx @vscode/vsce package --no-dependencies --allow-missing-repository

📄 License

Konvert is licensed under the MIT License. Copyright © 2026 epl-lang & Contributors.

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