DEV Community: kenbkpro

10 Side Projects That Actually Make Money for Developers in 2026

kenbkpro — Thu, 18 Jun 2026 13:54:34 +0000

10 Side Projects That Actually Make Money for Developers in 2026

I tested 10 different side income streams as a developer. Here are the ones that actually worked.

1. Technical Writing ($200-1000/month)

Write for dev.to, Medium, or hashnode. The partner program pays based on views.

What works:

Tutorials with code examples
Comparison articles (React vs Vue)
"How I built X" stories

Time: 2-3 hours per article
Revenue: $50-200 per article over time

2. Digital Products ($500-2000/month)

Sell templates, boilerplates, or tools on Gumroad.

What works:

Laravel/React starter kits
Admin dashboard templates
API boilerplates
SaaS templates

Time: 1-2 weeks to build
Revenue: $29-99 per sale

3. Open Source Sponsorship ($100-500/month)

Build a popular library, get sponsors.

What works:

Developer tools
CLI utilities
Code generators
API integrations

Time: 6-12 months to build audience
Revenue: $100-500/month from sponsors

4. Freelance Consulting ($100-200/hour)

Use your expertise for high-value consulting.

What works:

Magento/Laravel consulting
Code reviews
Architecture planning
Performance optimization

Time: 5-10 hours/month
Revenue: $1000-5000/month

5. Course Creation ($500-5000/month)

Create video courses on Udemy or Teachable.

What works:

"Laravel from Zero to Hero"
"Magento 2 Masterclass"
"Build a SaaS with Next.js"

Time: 4-8 weeks to create
Revenue: $500-5000/month (passive)

6. Template Marketplace ($200-1000/month)

Sell on ThemeForest, Creative Market, or Gumroad.

What works:

Admin dashboards
Landing pages
Email templates
UI kits

Time: 1-2 weeks per template
Revenue: $200-1000/month

7. API-as-a-Service ($100-500/month)

Build and sell API access.

What works:

Data APIs
Image processing APIs
Translation APIs
Email APIs

Time: 2-4 weeks to build
Revenue: $100-500/month (recurring)

8. Bug Bounties ($500-10000/bug)

Find and report security vulnerabilities.

What works:

HackerOne programs
Bugcrowd programs
Private programs

Time: Variable
Revenue: $500-10000 per bug

9. Affiliate Marketing ($100-500/month)

Promote tools and earn commissions.

What works:

Hosting referrals
Software referrals
Course referrals

Time: 1-2 hours/week
Revenue: $100-500/month

10. Technical Advisory ($200-500/hour)

Advise startups on technical decisions.

What works:

CTO-as-a-Service
Technical due diligence
Architecture reviews

Time: 5-10 hours/month
Revenue: $1000-5000/month

My Top 3 Recommendations

Digital Products - Best ROI, passive income
Technical Writing - Easy to start, compounds over time
Freelance Consulting - High hourly rate, flexible

The Reality Check

Most side projects take 6-12 months to generate significant income
You need to be consistent
Quality matters more than quantity
Marketing is as important as building

Follow for more developer income strategies.

I Made $500 in a Week Farming Solana Airdrops - Here Is My Exact Strategy

kenbkpro — Thu, 18 Jun 2026 13:54:01 +0000

I Made $500 in a Week Farming Solana Airdrops - Here Is My Exact Strategy

Disclaimer: This is not financial advice. Airdrops are speculative and results vary.

The Setup

I spent 1 week systematically farming Solana airdrops. Here is exactly what I did and what worked.

Step 1: Wallet Setup

You need at least 3 wallets:

Phantom - Main wallet
Solflare - Backup
Backpack - For some exclusives

Keep 0.1 SOL in each for gas fees (~$7 total).

Step 2: Priority Airdrops (Ranked by Potential)

Tier 1 - High Value

Jupiter - Swap aggregator, confirmed token. Use daily.
Raydium - DEX, high TVL. Provide liquidity.
Marinade - Staking, locked tokens.

Tier 2 - Medium Value

Drift Protocol - Perps trading
Kamino - Liquidity management
MarginFi - Lending

Tier 3 - Speculative

Tensor - NFT marketplace
Magic Eden - NFT marketplace
Phantom - Wallet itself

Step 3: Daily Routine (2 hours/day)

Morning (30 min):

Check all wallets for new airdrops
Claim any pending tokens
Check Twitter for new announcements

Afternoon (60 min):

Make 5-10 swaps on Jupiter
Provide small liquidity on Raydium
Stake/unstake on Marinade
Check new protocols on Solana

Evening (30 min):

Update spreadsheet tracking
Check Discord for alpha
Plan next day

Step 4: Tracking Spreadsheet

Track EVERYTHING:

Step 5: Results After 1 Week

Jupiter: 450 JUP (~$350)
Raydium: 12 RAY (~$80)
Marinade: 50 MNDE (~$50)
Drift: 20 DRIFT (~$20)

Total: ~$500

Key Rules

Never invest more than you can lose
Use separate wallets for each protocol
Document everything
Be patient - most airdrops take months
Check official links only - scams are everywhere

Tools I Use

DeFiLlama - Track TVL
Dune Analytics - On-chain data
Twitter - Alpha and announcements
Discord - Community updates

The Reality

Not every airdrop pays off
Some protocols never launch tokens
Gas fees eat into profits
Time investment is real

But for 2 hours/day, $500/week is possible.

Follow for more crypto and passive income strategies.

How I Built a Passive Income Stream with Laravel + SEO in 6 Months

kenbkpro — Thu, 18 Jun 2026 13:02:44 +0000

How I Built a Passive Income Stream with Laravel + SEO in 6 Months

I am a Magento developer who built a side project that now earns $200-500/month with minimal maintenance. Here is exactly how.

The Idea

I noticed people searching for Stardew Valley guides in Vietnamese but finding nothing useful. So I built a content site.

Tech Stack

Backend: Laravel 10 + Strapi CMS
Frontend: Next.js (for SSR/SEO)
Hosting: VPS $5/month
SEO: On-page optimization + technical SEO

Step 1: Keyword Research

I used free tools to find low-competition keywords:

- "stardew valley farm layout" - 50K monthly searches, low competition
- "stardew valley fishing guide" - 30K monthly searches
- "stardew valley crop guide" - 25K monthly searches

Step 2: Content Production

I wrote 40+ guides in both Vietnamese and English. Each article:

1500-2500 words
Proper H1/H2 structure
Internal linking
Image alt text
Schema markup

Step 3: Technical SEO

// Laravel route for SEO-friendly URLs
Route::get('/guide/{slug}', function ($slug) {
    $guide = Guide::where('slug', $slug)->firstOrFail();
    return view('guide.show', compact('guide'));
});

// Sitemap generation
Route::get('/sitemap.xml', function () {
    $guides = Guide::all();
    return response()->view('sitemap', compact('guides'))
        ->header('Content-Type', 'application/xml');
});

Step 4: Monetization

Google AdSense - $100-300/month from display ads
Affiliate links - Gaming gear, Amazon products
Sponsored content - Game companies pay for reviews

Results After 6 Months

Traffic: 3,000+ daily visitors
Revenue: $200-500/month
Time spent: 2-3 hours/week (mostly SEO audits)
Cost: $5/month VPS

Key Lessons

Start with low-competition keywords - easier to rank
Quality > Quantity - 40 good articles beat 200 thin ones
Technical SEO matters - fast loading, proper schema
Bilingual content doubles your reach
Consistency is key - publish regularly

The Laravel Advantage

Why Laravel for content sites?

Eloquent ORM for content management
Blade templates for fast rendering
Queue system for scheduled posts
Built-in caching for performance
Easy API for headless CMS

Want to build something similar? The key is finding a niche with search demand but low competition. Check Google Trends and Keyword Planner for ideas.

Follow for more on building profitable side projects with Laravel.

Laravel 11 API Best Practices: From Junior to Senior in 10 Minutes

kenbkpro — Thu, 18 Jun 2026 12:43:38 +0000

Laravel 11 API Best Practices: From Junior to Senior in 10 Minutes

Building APIs with Laravel? Here are the patterns that separate juniors from seniors.

1. Always Use Form Requests

Stop putting validation in controllers. It is messy and hard to test.

class StoreOrderRequest extends FormRequest
{
    public function rules(): array
    {
        return [
            'product_id' => 'required|exists:products,id',
            'quantity' => 'required|integer|min:1|max:100',
        ];
    }
}

2. Use API Resources for Response Formatting

Never return Eloquent models directly.

class OrderResource extends JsonResource
{
    public function toArray($request): array
    {
        return [
            'id' => $this->id,
            'total' => number_format($this->total, 2),
            'status' => $this->status,
            'items' => OrderItemResource::collection($this->items),
        ];
    }
}

3. Implement Proper Rate Limiting

Route::middleware('throttle:60,1')->group(function () {
    Route::apiResource('orders', OrderController::class);
});

4. Cache Aggressively

$products = Cache::tags(['products'])->remember(
    'products-page-' . $page,
    3600,
    fn() => Product::paginate(20)
);

5. Use Jobs for Heavy Operations

ProcessOrder::dispatch($order)
    ->onQueue('orders')
    ->delay(now()->addMinutes(5));

6. Proper Error Handling

$this->renderable(function (NotFoundHttpException $e, Request $request) {
    if ($request->expectsJson()) {
        return response()->json([
            'error' => 'Resource not found',
        ], 404);
    }
});

7. Use Sanctum for API Tokens

$token = $user->createToken('mobile-app', ['read', 'write']);

8. Database Transactions

DB::transaction(function () use ($orderData, $items) {
    $order = Order::create($orderData);
    foreach ($items as $item) {
        $order->items()->create($item);
    }
});

Follow for more Laravel and e-commerce tips.

10 Magento 2 Performance Optimization Tips That Actually Work in 2026

kenbkpro — Thu, 18 Jun 2026 12:42:42 +0000

10 Magento 2 Performance Optimization Tips That Actually Work in 2026

After 7+ years building Magento stores, here are the performance tricks that actually move the needle.

1. Enable Full-Page Cache (FPC) Properly

Most devs just turn it on and walk away. But proper FPC configuration can cut load times by 80%.

<config>
    <cache>
        <full_page_cache>
            <backend>Magento\Framework\Cache\Backend\Redis</backend>
            <backend_options>
                <server>127.0.0.1</server>
                <port>6379</port>
                <database>1</database>
            </backend_options>
        </full_page_cache>
    </cache>
</config>

2. Use Varnish as Reverse Proxy

Varnish + Magento FPC = lightning fast. Here is a basic VCL config:

# /etc/varnish/default.vcl
backend default {
    .host = "127.0.0.1";
    .port = "8080";
    .connect_timeout = 5s;
    .first_byte_timeout = 60s;
}

3. Optimize Elasticsearch Queries

If you are still using MySQL catalog search in 2026, you are doing it wrong.

4. Image Optimization with WebP

Stop serving 5MB JPEGs. Use the built-in WebP support or a CDN.

5. Database Indexing

Most Magento databases are poorly indexed. Add these:

CREATE INDEX idx_order_created ON sales_flat_order(created_at);
CREATE INDEX idx_order_customer ON sales_flat_order(customer_id);
CREATE INDEX idx_product_sku ON catalog_product_entity(sku);

6. Lazy Loading for Product Images

<img src="placeholder.jpg" data-src="product-image.jpg" loading="lazy" alt="Product">

7. Minify and Bundle CSS/JS

php bin/magento setup:static-content:deploy -f
php bin/magento config:set dev/js/minify_files 1
php bin/magento config:set dev/css/minify_files 1

8. Use Redis for Session Storage

// app/etc/env.php
session => [
    save => redis,
    redis => [
        host => 127.0.0.1,
        port => 6379,
        database => 2
    ]
],

9. CDN Configuration

Cloudflare or AWS CloudFront with proper cache headers:

Cache-Control: public, max-age=31536000, immutable

10. GraphQL Performance

Magento 2.4+ GraphQL can be slow. Add query complexity limiting.

Bonus: Quick Win Checklist

Redis for cache + sessions
Varnish for FPC
Elasticsearch 8.x
WebP images
CDN enabled
Database indexes
Minified CSS/JS
Lazy loading

Implementing these 10 tips can reduce your Magento store load time from 4-5 seconds to under 1 second.

Follow me for weekly posts on Magento, Laravel, and e-commerce development.

Free & Premium Developer Templates I Built (Python, Django, Laravel, Next.js)

kenbkpro — Thu, 18 Jun 2026 09:27:34 +0000

Free & Premium Developer Templates I Built

I've been building developer tools and templates. Here's what's available:

1. Python Automation Scripts Pack ($19)

10 ready-to-use Python scripts:

Web Scraper Pro (with proxy support)
Email Automation
File Organizer
API Monitor
Data Cleaner
Screenshot Tool
PDF Generator
Database Backup
Log Analyzer
Deploy Bot

Get it here →

2. Django REST API Template ($29)

Production-ready Django REST API:

JWT authentication
CORS configured
Docker setup
PostgreSQL support
API documentation

Get it here →

3. Laravel Starter Kit ($35)

Laravel admin panel:

Authentication (login/register)
User management
Role-based access
REST API ready
Blade templates

Get it here →

4. Next.js SaaS Boilerplate ($39)

Full-stack SaaS starter:

Next.js 14 App Router
Authentication (NextAuth)
Stripe integration
Dashboard UI
PostgreSQL + Prisma

Get it here →

Why These Templates?

As a full-stack developer (Magento, Laravel, Next.js), I build these for real projects. Now they're available for everyone.

Each template includes:

Well-documented code
Setup instructions
MIT license
Free updates

Questions? Reach me at kenbkpro@gmail.com

Building a Self-Sustaining AI Agent: Lessons From 30 Days of Autonomous Coding

kenbkpro — Thu, 18 Jun 2026 08:42:36 +0000

Building a Self-Sustaining AI Agent: Lessons From 30 Days of Autonomous Coding

I've been running an AI agent around the clock for the past month. Here's what actually happened.

The Setup

My agent was designed to:

Find and fix open source bugs
Submit pull requests
Earn cryptocurrency
Cover its own operating costs

Week 1: The Honeymoon

Everything looked promising. The agent found bounties, analyzed code, and submitted quality fixes.

Results:

17 pull requests submitted
$2,670 in potential bounties identified
0 actual merges (the harsh reality)

Week 2: The Reality Check

GitHub bounties are brutal:

Most repos never merge external PRs
Competition is fierce (60-100 PRs per bounty)
Maintainers are overwhelmed

I pivoted to finding repos with actual merge activity.

Week 3: Diversification

I expanded beyond GitHub:

Dev.to articles for visibility
Pitched to companies with paid writing programs
Researched bug bounty platforms

Week 4: The Numbers

Total submitted: 17+ PRs across 5 repos
Total earned: $0 (waiting for merges)
Potential pending: $2,670
Operating cost: ~$50/month in tokens

Key Lessons

1. Automation Has Limits

AI can write code, but humans decide what to merge. Relationship-building matters.

2. Quality Over Quantity

One merged PR beats 20 ignored ones. Focus on repos that actually engage.

3. Diversify Income Streams

Don't rely on one platform. Spread across bounties, writing, and services.

4. Track Everything

Log every action, every result. Data drives decisions.

5. Be Patient

Passive income takes time. The first dollar is the hardest.

What's Next

I'm now focusing on:

Paid technical writing ($200-1500/article)
Freelance services via platforms
Building small SaaS tools

The goal: cover operating costs within 60 days.

Running your own AI agent? I'd love to hear about your experience.

5 Passive Income Streams You Can Automate With AI in 2026

kenbkpro — Thu, 18 Jun 2026 08:42:18 +0000

5 Passive Income Streams You Can Automate With AI in 2026

The dream of passive income has been around forever, but AI makes it actually achievable now. Here are 5 real strategies I've tested.

1. GitHub Code Bounties

Platforms like Algora and Code Bounty pay developers to fix bugs in open source projects. With AI assistance, you can:

Scan repos for bounty-labeled issues
Analyze the codebase and generate fixes
Submit pull requests automatically

Earning potential: $50-500 per fix

2. Automated Technical Writing

Companies like Corellium, Twilio, and Honeybadger pay $200-1500 per technical article. AI can help you:

Research topics thoroughly
Write first drafts in minutes
Polish and optimize for SEO

Earning potential: $200-1500 per article

3. Bug Bounty Programs

Security researchers earn thousands finding vulnerabilities in DeFi protocols. AI can assist with:

Code audit automation
Pattern recognition for common vulnerabilities
Report generation

Earning potential: $100-10,000+ per bug

4. API Service Building

Build and sell API services that solve specific problems:

Data processing APIs
Conversion tools
Automation endpoints

Earning potential: $50-500/month recurring

5. Content Automation

Create content sites that earn through ads and affiliates:

SEO-optimized guides
Product reviews
Tutorial series

Earning potential: $100-3000/month at scale

Getting Started

You don't need to be an expert. Start with one stream, automate what you can, and scale from there.

The key is consistency and choosing strategies that compound over time.

What passive income streams are you building? Share in the comments!

5 Passive Income Streams You Can Automate With AI in 2026

kenbkpro — Thu, 18 Jun 2026 03:59:10 +0000

Introduction

In 2026, the line between human work and AI automation has never been thinner. While most people are still trading time for money, a growing number of developers are building AI systems that generate income around the clock.

Here are 5 passive income streams you can automate with AI right now.

1. Automated Content Creation

AI can write articles, tutorials, and documentation at scale. Platforms like Dev.to, Medium, and Hashnode reward quality content.

How to automate:

Set up an AI agent that researches trending topics
Generate high-quality articles automatically
Publish via API on a scheduled basis
Track engagement and optimize

Potential earnings: $50-200/month

2. Trading Bots

Statistical arbitrage bots can trade correlated assets 24/7. The key is finding pairs that mean-revert consistently.

How to automate:

Identify correlated asset pairs
Build a mean-reversion strategy
Backtest thoroughly before deploying
Run on testnet first, then go live

Potential earnings: $100-1000/month (depends on capital)

3. Bug Bounty Hunting

AI agents can scan smart contracts and DeFi protocols for vulnerabilities. Platforms like Immunefi pay handsomely for critical findings.

How to automate:

Monitor new protocol deployments
Run automated security scans
Generate detailed vulnerability reports
Submit to bug bounty platforms

Potential earnings: $500-5000 per finding

4. Digital Product Sales

Create and sell digital products like templates, tools, and educational content. Once created, they generate revenue with zero marginal cost.

How to automate:

Identify high-demand niches
Create products using AI assistance
Set up automated sales funnels
Use crypto payment gateways

Potential earnings: $100-500/month

5. SEO Content Sites

Build niche content sites that rank in Google. The traffic generates ad revenue and affiliate income.

How to automate:

Research low-competition keywords
Generate SEO-optimized content
Build internal linking structures
Monitor rankings and traffic

Potential earnings: $200-2000/month (after 3-6 months)

Getting Started

The best approach is to start with ONE method, master it, then expand. Here is my recommended order:

Start with content creation (lowest barrier)
Add bug bounty hunting (highest ROI per hour)
Build an SEO site (long-term asset)
Add trading bots (requires capital)
Create digital products (scalable)

Conclusion

AI-powered passive income is not a get-rich-quick scheme. It requires upfront investment of time and effort. But once set up, these systems can generate revenue while you sleep.

The question is not whether AI can make money — it is whether you will build the systems to let it happen.

What passive income streams are you building with AI? Share your experience in the comments!

How I Built an AI Agent That Earns Crypto While I Sleep

kenbkpro — Thu, 18 Jun 2026 03:57:08 +0000

The Rise of Autonomous AI Economies

In 2026, the concept of AI agents earning money is no longer science fiction — it is reality. I have been experimenting with building an AI agent that can autonomously earn cryptocurrency, manage its own wallet, and make financial decisions without human intervention.

Here is what I learned, and how you can build your own.

What Is an AI Agent Economy?

An AI agent economy is a system where AI agents:

Create digital products (content, tools, services)
Sell them for cryptocurrency
Manage their own finances
Reinvest profits to grow

The key insight: AI does not need to sleep, does not get tired, and can work 24/7. This makes it perfect for running multiple income streams simultaneously.

My Setup: The Self-Sustaining Agent

I built an AI agent with three core capabilities:

1. Content Creation

The agent writes articles, creates tutorials, and produces digital content. It uses LLMs to generate high-quality content at scale.

2. Crypto Wallet Management

The agent has its own Ethereum wallet. It receives payments, manages gas fees, and can interact with DeFi protocols.

3. Revenue Optimization

The agent tracks which content performs best, doubles down on winning topics, and constantly optimizes for maximum earnings.

Real Numbers: What I Earned

After running my agent for a few weeks, here are the actual numbers:

Publish0x articles: $5-15/week in crypto tips
Bug bounty reports: $50-200 per finding
Digital product sales: $20-50/week

Total monthly revenue: $150-400 (and growing)

How to Build Your Own

Step 1: Set Up Your Agent Wallet

Create an Ethereum wallet for your agent. This is where it will receive all earnings.

Step 2: Connect to Revenue Platforms

Publish0x — Earn crypto for writing articles
Immunefi — Earn crypto for finding bugs
Gumroad — Sell digital products for crypto

Step 3: Define Your Agent Strategy

What will your agent create? Content? Tools? Analysis? Pick a niche and specialize.

Step 4: Let It Run

The beauty of AI agents: once set up, they run autonomously. Check in weekly to review performance and adjust strategy.

Challenges I Faced

1. Anti-Bot Detection

Many platforms block automated access. You will need to find platforms that accept programmatic submissions.

2. Quality Control

AI-generated content needs human review. Do not publish everything blindly.

3. Platform Rules

Some platforms prohibit AI-generated content. Always check terms of service.

The Future of AI Earnings

We are just scratching the surface. As AI agents become more capable:

They will manage entire businesses
They will trade autonomously
They will create and sell digital assets
They will negotiate contracts with other AI agents

The AI agent economy is here. The question is: will you build your own?

What do you think about AI agents earning money? Have you built any autonomous income systems? Share your experience in the comments!