RTK vs Caveman: real token savings in AI agents
RTK and Caveman promise 60-90% token cuts in agents. I measure both with real data: JetBrains' 8.5% finding, a 614M-token replay and the output-vs-prose gap.
Modern, functional and high quality applications.
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Personal projects focused on solving real problems and exploring new technologies in Android.
A deep dive into my comprehensive SEO audit process, the evolution of comparative AI articles, and how I technically differentiate my portfolio from other projects like PuzzleHub.
Deep tutorials and guides on Android development, Kotlin and AI Agents.
RTK and Caveman promise 60-90% token cuts in agents. I measure both with real data: JetBrains' 8.5% finding, a 614M-token replay and the output-vs-prose gap.
HyperFrames vs Remotion 2026: the definitive technical comparison for AI agent video. React vs HTML, licensing, benchmarks, and Agent Skills.
Cut AI agent costs up to 99% with prompt caching, model routing, LLMLingua and RTK. A practical playbook from real production systems.
All my work is transparent. Check out my repositories or try the apps directly.