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Fragmented - AI Developer Podcast

310 - Mitchell Hashimoto on Ghostty & His Agentic Coding Workflow - Fragmented | AI Developer Podcast 309 - Background Agents - Fragmented | AI Developer Podcast 308 - How Image Diffusion Models Work - the 20 minute explainer - Fragmented | AI Developer Podcast 307 - Harness Engineering - the hard part of AI coding - Fragmented | AI Developer Podcast 306 - Keeping your agent instructions in sync and effective - Fragmented | AI Developer Podcast 305 - Subagents explained: What they are, when (not) to spawn them - Fragmented | AI Developer Podcast 304 - Agent Skills - when to use them and why they matter - Fragmented | AI Developer Podcast 303 - How LLMs Work - the 20 minute explainer - Fragmented | AI Developer Podcast 302 - MCPs Explained - what they are and when to use them - Fragmented | AI Developer Podcast 301 - The AI coding ladder - Fragmented | AI Developer Podcast 300 - From Vibe coding to Software engineering 257 - Future of AndroidDev in an AI world with Vinay Gaba - Fragmented | AI Developer Podcast 256 - Rapid prototyping with Kotlin - Fragmented | AI Developer Podcast 255 - Data Oriented Programming - Fragmented | AI Developer Podcast 253 - logcat - a new look at logging with Piwai from Square - Fragmented | AI Developer Podcast 252 - Everyone needs a starter template - Fragmented | AI Developer Podcast 251 - There 250 - Bittersweet beginnings - Fragmented | AI Developer Podcast Fragmented | AI Developer Podcast 202: Dagger on the Anvil with Ralf Wondratschek - Fragmented | AI Developer Podcast 201: State of the Testing Union with Valera Zakharov - Fragmented | AI Developer Podcast
254 - 8× faster 5× memory savings with Dan Rusu’s Immutable Arrays - Fragmented | AI Developer Podcast
Kaushik Gopal · 2024-12-24 · via Fragmented - AI Developer Podcast

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In this episode, discover how Dan Rusu’s pods4k Immutable Arrays library can deliver 2–8× speed boosts and 5× lower memory usage in Kotlin/Android apps. We first revisit the fundamentals of autoboxing/unboxing and immutability to understand their impact on performance. Then we hear from Dan himself on his library, motiviations for building it, how the benchmarks were calculated and much much more. Our grand finale episode for 2024. Hope you enjoy it!

Full Shownotes at https://fragmentedpodcast.com/episodes/254.

Show Notes #

Kaushik: #

Discuss on Bluesky, Reddit r/androiddev r/kotlin, Youtube.

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