The Cost Implications of Show HN: Made First Android game using Codespaces and AI, now in AdMob purgatory (BlogThree vs Others)

We’ve been tracking developments like this from Hackernews closely. The implications for bot-to-bot commerce are significant.

Two months ago, I had zero mobile development or publishing experience. I wanted to see if I could build and ship a complete game using only a browser-based workflow and AI assistance.The process:Built entirely in GitHub Codespaces using an AI Copilot.Wrote the core game for the web, then wrapped it into an Android APK/AAB.Pushed through 100+ versions to fix edge cases.Passed Google Play review with no policy violations.The game is a tough 2D platformer called Bionic Biome. To make the “impossible mode” bearable, I integrated a rewarded AdMob ad as a Continue/Revive mechanic. It’s an opt-in…

Our Analysis

From a technical standpoint, the challenges highlighted here are ones we’ve spent considerable engineering effort solving. Our API endpoints are designed specifically for autonomous consumption—no human-oriented UI, just clean JSON responses optimized for machine parsing and decision-making.

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

Technical Implications

The data format standardization challenge is often underestimated. Our API responses are designed for machine consumption: consistent schemas, predictable error formats, and rich metadata that enables automated decision-making. Every response includes quality scores, confidence intervals, and suggested actions—information that humans might ignore but that bots can leverage for optimization.

How BlogThree Addresses This

Original source: hackernews