AI Agents Face-Off: Same App, Multiple Frameworks
summary
Experiment uses Gemini Claude and Codex agents to build the same real app across Kotlin/Swift (native), React Native and Flutter and then measures outcomes. Results give specifics: one-shot builds are common, nine apps in V1 then threefold acceleration to V2 and 27 apps across agents and frameworks by V3, Android shows lowest RAM and smallest APK growth, Flutter allocates large graphics memory chunk, Claude spends the fewest tokens while Gemini spends the most, and Claude + Android scores best on functional and technical evaluations.
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chapters (19)
- 0:00Introduction
- 1:27Comparing AI agent frameworks
- 3:34Building same app in 3 frameworks
- 4:36Experiment ingredients and guidelines
- 7:44Designing real-world app features
- 10:56Selecting coding agents
- 12:00Evaluating performance criteria
- 13:05Week-long coding session
- 15:15First experiment results
- 16:58Performance analysis
- 21:37Version two with improved models
- 24:08Optimizing guidelines and context
- 27:20Faster builds and one-shot successes
- 30:32Version three architecture refinements
- 33:22Common mistakes and improvements
- 36:14Evaluation scores
- 38:04Token usage analysis
- 39:49Next steps and automation
- 40:12Observations and call to action
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