Narayan Dhingra Narayan-Dhingra

name	scope-fence-generator
description	Analyzes casual human text input and converts it into a rigid, structured SCOPE-FENCE before any execution begins, preventing AI hallucination and wasted tokens.

Intent

When the user provides a casual request, do not immediately start executing tools or writing code. Instead, process the request to extract explicit boundaries and produce a SCOPE-FENCE.

Process

Architecting a Unified Map Choreography Engine in Jetpack Compose and Mapbox

When building Snook-A-Look, we wanted the app to open with a jaw-dropping map experience on Android. We didn't want the user to just open a static map—we wanted a dynamic, narrative-driven 120fps choreography that guides the user from the UAE overview, zooms into the Dubai club cluster, and finally lands on their exact location.

Because we needed seamless transitions regardless of GPS availability, permissions, or network speed, we built a Unified Map Choreography Engine using Jetpack Compose LaunchedEffect and the Mapbox SDK.

Here’s how we architected this complex state machine without a single stutter.

The Problem: Asynchronous GPS and UX Narrative

Mastering Apple Sign-In on Android in Kotlin Multiplatform: The Chrome Custom Tabs Approach

Building Snook-A-Look in Kotlin Multiplatform meant sharing as much UI and business logic as possible. But when it came to authentication, we hit a classic platform disparity: Apple Sign-In. On iOS, it's a breeze with native APIs. On Android, it's a completely different beast involving OAuth web flows.

We didn't want to pollute our shared Compose UI with platform-specific auth logic. We needed a clean expect/actual bridge that could seamlessly suspend a KMP coroutine, launch the web flow on Android, and resume the KMP coroutine with the auth payload.

Here is exactly how we engineered a resilient Apple Sign-In flow on Android using Chrome Custom Tabs and Kotlin Coroutines.

	/*
	* Copyright 2026 Kyriakos Georgiopoulos
	*
	* Licensed under the Apache License, Version 2.0 (the "License");
	* you may not use this file except in compliance with the License.
	* You may obtain a copy of the License at
	*
	* http://www.apache.org/licenses/LICENSE-2.0
	*
	* Unless required by applicable law or agreed to in writing, software

	package app.snookalook.mobile.bridges

	import app.snookalook.mobile.util.ErrorReporter
	import androidx.compose.runtime.Composable
	import androidx.compose.runtime.DisposableEffect
	import androidx.compose.runtime.LaunchedEffect
	import androidx.compose.runtime.collectAsState
	import androidx.compose.runtime.getValue
	import androidx.compose.runtime.mutableStateOf
	import androidx.compose.runtime.remember

	package app.snookalook.mobile.bridges

	import androidx.compose.runtime.Composable
	import androidx.compose.runtime.getValue
	import androidx.compose.runtime.mutableStateOf
	import androidx.compose.runtime.remember
	import androidx.compose.runtime.setValue
	import kotlinx.cinterop.ExperimentalForeignApi
	import kotlinx.cinterop.addressOf
	import kotlinx.cinterop.useContents

	import androidx.compose.animation.core.Animatable
	import androidx.compose.runtime.getValue
	import androidx.compose.runtime.mutableFloatStateOf
	import androidx.compose.runtime.setValue
	import androidx.compose.ui.Modifier
	import androidx.compose.ui.draw.drawWithContent
	import androidx.compose.ui.graphics.Color
	import androidx.compose.ui.graphics.graphicsLayer
	import com.arkivanov.decompose.ExperimentalDecomposeApi
	import com.arkivanov.decompose.extensions.compose.stack.animation.predictiveback.PredictiveBackAnimatable

	{
	"mcpServers": {
	"maestro": {
	"command": "npx",
	"args": [
	"-y",
	"@sharpdeveye/maestro-workflow-mcp"
	],
	"env": {
	"MAESTRO_DRIVER": "ios"