DEV Community: Jake Young

How to Build a Simple Dog Walking Timer App

Jake Young — Mon, 09 Mar 2026 19:39:38 +0000

How to Build a Simple Dog Walking Timer App

Your dog stares at you. It's 6 PM. You know you promised a walk, but how long has it been? Two hours? 20 minutes?

A dog walking timer app is simple, useful, and a perfect first project to learn iOS development. In this tutorial, we'll build a functional timer app in Swift using SwiftUI. No previous experience required—just curiosity and a Mac with Xcode.

What We're Building

A dog walking timer app that:

Starts a timer when you begin your walk
Displays elapsed time in a readable format
Lets you pause and resume
Tracks your longest walk
Shows time in minutes and seconds

By the end, you'll have a working iOS app you can actually use with your dog.

Prerequisites

Mac with Xcode (free on the App Store)
Basic Swift understanding (or willingness to learn)
30 minutes to follow along

Step 1: Create a New SwiftUI Project

Open Xcode
Select File → New → Project
Choose iOS → App
Set Product Name to DogWalkTimer
Select SwiftUI for the interface
Click Create

Step 2: Set Up the Data Model

Create a new file called WalkTimer.swift:

import Foundation

class WalkTimer: ObservableObject {
    @Published var elapsedTime: TimeInterval = 0
    @Published var isRunning = false
    @Published var longestWalk: TimeInterval = 0

    private var timer: Timer?

    func start() {
        guard !isRunning else { return }
        isRunning = true
        timer = Timer.scheduledTimer(withTimeInterval: 1, repeats: true) { _ in
            self.elapsedTime += 1
        }
    }

    func pause() {
        isRunning = false
        timer?.invalidate()
    }

    func stop() {
        pause()
        if elapsedTime > longestWalk {
            longestWalk = elapsedTime
        }
        elapsedTime = 0
    }

    func formattedTime(_ seconds: TimeInterval) -> String {
        let minutes = Int(seconds) / 60
        let secs = Int(seconds) % 60
        return String(format: "%02d:%02d", minutes, secs)
    }
}

Step 3: Build the UI

Replace the contents of ContentView.swift:

import SwiftUI

struct ContentView: View {
    @StateObject var walkTimer = WalkTimer()

    var body: some View {
        ZStack {
            LinearGradient(
                gradient: Gradient(colors: [.blue, .cyan]),
                startPoint: .topLeading,
                endPoint: .bottomTrailing
            )
            .ignoresSafeArea()

            VStack(spacing: 30) {
                Text("Dog Walk Timer")
                    .font(.largeTitle)
                    .fontWeight(.bold)
                    .foregroundColor(.white)

                VStack(spacing: 20) {
                    Text(walkTimer.formattedTime(walkTimer.elapsedTime))
                        .font(.system(size: 72, weight: .bold, design: .monospaced))
                        .foregroundColor(.white)

                    HStack(spacing: 20) {
                        Button(action: {
                            walkTimer.start()
                        }) {
                            Text("Start")
                                .frame(maxWidth: .infinity)
                                .padding()
                                .background(Color.green)
                                .foregroundColor(.white)
                                .cornerRadius(10)
                        }
                        .disabled(walkTimer.isRunning)

                        Button(action: {
                            walkTimer.pause()
                        }) {
                            Text("Pause")
                                .frame(maxWidth: .infinity)
                                .padding()
                                .background(Color.orange)
                                .foregroundColor(.white)
                                .cornerRadius(10)
                        }
                        .disabled(!walkTimer.isRunning)
                    }

                    Button(action: {
                        walkTimer.stop()
                    }) {
                        Text("Stop & Save")
                            .frame(maxWidth: .infinity)
                            .padding()
                            .background(Color.red)
                            .foregroundColor(.white)
                            .cornerRadius(10)
                    }
                    .disabled(!walkTimer.isRunning && walkTimer.elapsedTime == 0)
                }
                .padding()
                .background(Color.white.opacity(0.2))
                .cornerRadius(15)

                VStack(spacing: 10) {
                    Text("Longest Walk")
                        .font(.headline)
                        .foregroundColor(.white)

                    Text(walkTimer.formattedTime(walkTimer.longestWalk))
                        .font(.system(size: 48, weight: .semibold, design: .monospaced))
                        .foregroundColor(.yellow)
                }
                .padding()
                .background(Color.white.opacity(0.1))
                .cornerRadius(15)

                Spacer()
            }
            .padding(20)
        }
    }
}

Step 4: Test the App

Press Cmd + R to run the app in the simulator
Click Start → timer counts up
Click Pause → timer stops
Click Start again → timer resumes
Click Stop & Save → time resets, updates longest walk

Accessories to Enhance Your Dog Walks

Need gear to make dog walks easier? Consider these:

Check price on Amazon

You now have a working iOS app.

Best Budget USB-C Cables for Developers

Jake Young — Mon, 09 Mar 2026 19:39:23 +0000

Best Budget USB-C Cables for Developers

Your laptop is down to 3% battery. You reach for a USB-C cable, and it charges at a crawl. Or it doesn't charge at all. Or it stops working after two weeks of normal use.

Cheap USB-C cables cost you more than expensive ones—in wasted time, frustration, and device failures. I've tested over 30 USB-C cables as a developer who bounces between three laptops, two phones, and a tablet. Here are the cables that actually work and won't destroy your investment.

Why Cable Quality Matters for Developers

Unlike casual users, developers rely on cables for:

Fast charging during late-night sprints
Data transfer when debugging or deploying
Durability through daily bag toss and desk coiling
Reliability when a failed cable kills your workflow

A $2 cable might save you $8 today, but it'll cost you three hours of your time when it fails mid-deploy.

1. Anker PowerLine II USB-C Cable

Anker PowerLine II is the go-to for developers on a budget. These cables are engineered for durability, support fast charging (60W+), and come with a lifetime replacement guarantee.

Check price on Amazon

2. Nylon Braided USB-C Cable by Ranvoo

Check price on Amazon

3. Cable Matters USB-C to USB-C Cable

Check price on Amazon

4. AmazonBasics USB-C Cable

Check price on Amazon

5. AUKEY USB-C Quick Charge Cable

Check price on Amazon

For the full detailed review, visit our full article.

Getting Started with OpenClaw: A Developer's Guide to AI Agents

Jake Young — Mon, 09 Mar 2026 09:01:51 +0000

Getting Started with OpenClaw: A Developer's Guide to AI Agents

If you've been following the AI automation space, you've probably heard buzz about autonomous agents—but setting them up feels like rocket science. Most guides assume you're a researcher with infinite time and compute resources.

OpenClaw changes that. It's a self-hosted, developer-friendly gateway that connects your chat apps (WhatsApp, Telegram, Discord, iMessage, Slack) directly to AI agents. In plain English: send a message, get an intelligent response. No API keys scattered across five services. No proprietary vendor lock-in. Just you, your tools, and reliable automation.

This guide will walk you through installation, your first agent, and real-world automation patterns that actually save time.

Why OpenClaw? The Problem It Solves

The Current AI Agent Landscape Is Fragmented

Today's workflow for using AI agents looks like:

Open a browser tab
Navigate to ChatGPT/Claude/Perplexity
Type your request
Wait for a response
Copy-paste the result somewhere useful
Repeat 20 times a day

That's not automation—that's just outsourcing your thinking.

Real automation means:

✅ Asking your agent from anywhere (phone, laptop, smartwatch)
✅ Integrating with tools you already use (your chat app)
✅ Keeping data on your own infrastructure
✅ Running agents 24/7 without manual intervention
✅ Chaining multiple tools together (Discord → API → Database → Response)

OpenClaw does all of this. It's the bridge between your messaging layer and your automation layer.

What Makes OpenClaw Different

Feature	OpenClaw	ChatGPT	Claude Web	Most Frameworks
Self-hosted	✅ Full control	❌ Cloud only	❌ Cloud only	✅ Often
Multi-app	✅ 5+ apps	❌ Single UI	❌ Single UI	❌ Limited
Always-on	✅ Yes	❌ Requires browser	❌ Requires browser	✅ Often
Tool integration	✅ Extensive	❌ Via plugins	❌ Via plugins	✅ Varies
Data privacy	✅ Your server	❌ Stored in cloud	❌ Stored in cloud	✅ Often
Ease of setup	✅ <30 min	N/A	N/A	❌ Hours

Installation: 10 Minutes

Prerequisites

Node.js 18+ (check with node -v)
npm or yarn
A Mac, Linux machine, or VPS (Windows support via WSL)
Any of these chat apps: WhatsApp, Telegram, Discord, iMessage, Slack

Step 1: Install OpenClaw

npm install -g openclaw

Verify installation:

openclaw --version

Step 2: Start the Gateway

openclaw gateway start

That's it. You should see:

✓ Gateway running on http://localhost:3000
✓ Waiting for channel connections...

Step 3: Open the Control UI

Navigate to http://localhost:3000 in your browser. You'll see the OpenClaw dashboard—a clean interface to manage agents, configure channels, and monitor activity.

Step 4: Connect Your First Chat Channel

In the Control UI:

Click "Add Channel"
Choose Discord (easiest for testing)
Authorize OpenClaw to access your server
Done. Your bot is now online in Discord.

Total time so far: ~10 minutes.

Your First Agent: A Practical Example

Now let's create an agent that actually does something useful. Let's build a Code Reviewer Agent—it reads pull requests, gives feedback, and posts responses automatically.

What It Does

Watches a Discord channel for PR links
Fetches the PR content
Analyzes the code
Posts a review as a message
All automated, no manual intervention

The Setup

In the Control UI, click "Create Agent"
Name it: code-reviewer
Select Model: Claude 3.5 Sonnet (best for code analysis)
Add this system prompt:

You are an expert code reviewer with 10+ years of experience.
When given a pull request, analyze it for:
- Code quality and readability
- Security vulnerabilities
- Performance issues
- Best practices adherence

Be concise but thorough. Give specific suggestions, not vague critiques.
Format your response as:
✅ Strengths (1-2 points)
⚠️ Improvements (3-5 specific suggestions)
🎯 Summary (1 sentence)

Click "Save"

Connect It to Discord

In the Control UI:

Go to your Discord channel settings
Link it to the code-reviewer agent
Set trigger words: "review"

Now when someone posts review https://github.com/..., your agent springs into action.

Testing it:

review https://github.com/example/pull/1234

Within seconds, you get a detailed code review. No human reviewer needed. No context-switching. No manual process.

Real-World Automation Patterns

Pattern 1: Email Triage Agent

Trigger: Incoming email forwarded to Discord
Agent: Reads email, categorizes it (urgent/normal/spam)
Response: Posts summary + recommended action in Discord
Action: Filters email into appropriate folder

Time saved: 5-10 minutes per day × 250 working days = 40+ hours/year

Pattern 2: Daily Summary Agent

Trigger: Cron job (daily at 9 AM)
Agent: Fetches calendar, emails, and Slack messages
Response: Posts unified summary to Discord DM
Action: You start work already caught up

ROI: 15 minutes × 250 days = 62 hours/year of context switching eliminated

Pattern 3: Automated Documentation

Trigger: Code merged to main branch
Agent: Analyzes changes, generates docs
Response: Posts draft documentation to GitHub PR
Action: Reviewers approve/edit, docs are auto-published

Benefit: Outdated docs become impossible (docs update with code)

Monetization: Build Products Around Your Automation

Here's where this gets interesting: your automation infrastructure is valuable.

Once you've built a few agents, you can package them as:

Agent Templates ($9-29 each)
- Email automation setup
- Social media monitor
- Data pipeline builder
- Other developers pay for your proven patterns
Custom Agent Services ($500-2000)
- Build an agent for a specific business
- Deploy on their OpenClaw instance
- Recurring revenue
Agent Prompt Libraries
- Curated prompts for common tasks
- Pre-tested, optimized for speed
- Low effort to maintain, high margins

Example: "Email Automation Agent Template"

Development time: 4 hours
Selling price: $14
Expected units/month: 8-12
Monthly revenue from one template: $112-168
Ongoing maintenance: 20 minutes/month

Scale this to 5-10 templates and you're generating $500-1500/month in passive income while you focus on your day job.

Advanced: Building a Multi-Agent System

Once you're comfortable with single agents, the next level is orchestration—multiple agents working together.

Example workflow:

User asks: "Summarize last week's meetings and email the team"

Agent 1 (Transcriber)
└─> Fetches meeting recordings/notes

Agent 2 (Summarizer)
└─> Creates executive summary

Agent 3 (Email formatter)
└─> Packages into professional email

Agent 4 (Scheduler)
└─> Sends to entire team via email + Slack

This entire chain runs with a single message. The last agent reports back to you when done. No human involvement after the initial request.

Common Pitfalls & How to Avoid Them

❌ Pitfall: API rate limits

Solution: Implement caching; batch requests during off-peak hours
Read our Rate Limit Optimization Guide

❌ Pitfall: Agent hallucinations

Solution: Use Claude 3.5 (more reliable); add fact-checking steps
Pair with search tools for real-time data

❌ Pitfall: Cost spiraling

Solution: Monitor token usage daily; set spending caps in Config UI
Use Haiku for simple tasks, Sonnet for complex analysis

❌ Pitfall: Agents breaking silently

Solution: Enable logging; set up error notifications to Slack
Test agents weekly with real-world scenarios

Next Steps: Going Deeper

Learn More

OpenClaw Official Docs — Comprehensive reference
Agent Patterns Guide — Advanced workflows
Cost Optimization Guide — Save 40-60% on API costs

Build Your First Real Project

Pick one problem you repeat weekly:

Data entry (Web scraping + database)
Report generation (Data aggregation + formatting)
Content distribution (Write once, post everywhere)

Build an agent for it. You'll save 5+ hours/week immediately.

Join the Community

OpenClaw Discord — 2000+ developers sharing patterns
GitHub Discussions — Ask questions, find solutions
Weekly Office Hours — Live Q&A with the team

Exclusive: AI Agent Resources for Developers

If you're serious about automation, here are proven resources that'll accelerate your learning:

🚀 AI Agent Prompt Library — 30 production-tested prompts

Pre-built prompts for OpenClaw agents
Code review, email triage, data analysis, more
Plug-and-play, save 10+ hours of prompt engineering
Limited time: $9 (normally $19)

📚 Email Automation Agent Blueprint — Complete end-to-end setup

Step-by-step template for building email agents
Save 4-6 hours of setup time
Includes error handling, logging, best practices
$14 (pre-order discount)

💡 OpenClaw Starter Kit — Everything you need to ship

Pre-configured agents (email, Slack, Discord)
Architecture patterns for scaling
Deployment scripts for AWS/GCP/DigitalOcean
$19 (worth $49, early supporters rate)

These aren't random products—they're built from real experience shipping agents to production. Each one solves a specific pain point that costs developers time and money.

TL;DR: What You Learned

What it is: OpenClaw bridges your chat apps to AI agents running on your machine
Setup: 10 minutes from zero to a working agent
Value: 5-50 hours/month saved on repetitive work
Next: Build one custom agent for your biggest time suck
Monetization: Package agents + templates as products ($500-1500/month potential)

Your action today:

Install OpenClaw (npm install -g openclaw)
Start the gateway (openclaw gateway start)
Connect Discord (5 minutes)
Create the code-reviewer agent (this guide's example)
Test it with one real PR

That's it. You're now automating.

What will you automate first? Drop a comment below—I'd love to hear your use case.

OpenClaw is open-source and completely free. Paid resources above are community-created guides, not official products.