Software engineering 10 years ago vs today
Then: learn 30 tools, frameworks, cloud platforms, and DevOps.
Now: Claude Code + Codex
Coding is getting dramatically easier.
But:
Coding ≠ software engineering.
AI can generate the code.
You still own what happens in production.
Vibe coding a startup?
AWS is currently offering new customers up to $200 in cloud credits for 6 months.
Perfect for shipping MVPs, testing infra, databases, storage, and AI workloads before paying real cloud bills.
Free infra is free runway. Claim it early.
You can build and run an MVP for ~$20/month.
Claude for coding.
Supabase for backend.
Vercel for deployment.
GitHub, Cloudflare... and more on free tiers.
Building software has never been cheaper.
But that creates a new bottleneck:
code is getting cheaper, distribution isn’t.
I’ll publish the builds, failures, benchmarks and lessons here.
No framework religion. No “X is dead” nonsense.
Just experiments.
Mobile Dev Lab #01 starts with:
Native vs Cross-platform.
What should I test first?
Vibe coding mobile apps: Native or cross-platform?
I think AI coding agents may change this old tradeoff.
So instead of debating Swift/Kotlin vs Flutter/React Native, I’m going to build the same app with each.
Welcome to my Mobile Dev Lab 🧪
My hypothesis:
Cross-platform won partly because building iOS + Android separately was expensive.
But if AI dramatically reduces that cost, does native become attractive again for small teams and solo builders?
That’s what I want to test.
The experiment:
Same product.
Same requirements.
4 stacks:
• Swift / SwiftUI
• Kotlin / Compose
• Flutter
• React Native
I want to see what happens when AI does a large part of the engineering.
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