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Real builds, real tools, real results.
From writing code to PR reviews to architecture decisions — I test AI tools on real Android projects and document what actually saves time.
60–70% of developers haven't integrated AI into their workflow. The ones who have? They're shipping in days what used to take weeks.
Data classes, adapters, repository layers — AI handles this in seconds. You shouldn't be typing it.
Copy-pasting between a chat window and your IDE is the slowest possible way to use AI for coding.
Cursor? Claude Code? Gemini? GitHub Copilot? Most comparisons are for web devs, not mobile.
That's what I do. I test every major AI tool on real Android projects and share exactly what works.
Three tools, one real codebase. Here's what I'm finding.
CLI agent that builds full features. Best for complex, multi-file changes in Android projects.
Best for: feature buildingBuilt into Android Studio. Strong in-editor completions and native Kotlin understanding.
Best for: daily codingAI code editor with strong refactoring. Testing it against Android Studio + Gemini.
Best for: rapid prototypingReal builds, real tools, real results.
Android engineer, 10 years. I've built apps used by hundreds of thousands of people — architecture, performance, the whole stack.
Last year I started using AI tools in my daily work. The productivity jump was real — features that took weeks were done in days.
Now I'm documenting everything. What works, what doesn't, where AI saves hours and where it wastes them. All on real Kotlin codebases, not demos.
The complete breakdown — configs, prompts, tool comparisons, and the workflows I actually use every day. Free.
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