Fragmented - AI Developer Podcast

Subagents are becoming a core primitive for serious AI-assisted development. In this episode, Kaushik and Iury disambiguate "agent" terminology, unpack plan mode vs subagents, and explain how parallel, scoped workers improve research quality without polluting the main thread. Full shownotes at fragmentedpodcast.com. Show Notes Resources & Documentation Official Documentation Agents, Modes, Subagents: official harness docs Claude Code SubagentsGemini CLI SubagentsOpencode SubagentsCursor SubagentsAntigravity Agent ModesAOE ScoutingResearch Papers & Articles Introducing Claude Opus 4.5Deep-Research Agents PaperPost: GPT-5 System Card Self-Driving Codebases Blog Get in touch We'd love to hear from you. Email is the best way to reach us or you can check our contact page for other ways. We want to hear all the feedback: what's working, what's not, topics you'd like to hear more on. Contact usNewsletterYoutubeWebsiteCo-hosts: Kaushik GopalIury Souza[!fyi] We transitioned from Android development to AI starting with Ep. #300. Listen to that episode for the full story behind our new direction.

Agent Skills look simple, but they are one of the most powerful building blocks in modern AI coding workflows. In this episode, Kaushik and Iury break down when to use skills, how progressive disclosure works, and how skills compare with commands, instructions, and MCPs. Full shownotes at fragmentedpodcast.com. Show Notes Main References Progressive Disclosure Agent Skills Open SpecificationAAIF (Agentic AI Foundation) Needle in a Haystack Problem Agent-Invokable vs User-Invokable Creating Skills Skill Creator Claude Code frontmatter referenceUsing other Skills Anthropic Skills GitHub Repository Clawdhub hereSKILLS.shWarnings before installing random skills [!warning] Don't install from hubs blindly. Inspect the repo code before adding anything to your agent. Prompt Injection Attacks OpenClaw <- MoltBot <- ClawdbotOpenClaw Security Analysis Malware found in a top-downloaded Clawhub skill Additional resources Few-Shot Prompting .agents/skills Vercel: AGENTS.md vs Skills Get in touch We'd love to hear from you. Email is the best way to reach us or you can check our contact page for other ways. We want to hear all the feedback: what's working, what's not, topics you'd like to hear more on. Contact usNewsletterYoutubeWebsiteCo-hosts: Kaushik GopalIury Souza[!fyi] We transitioned from Android development to AI starting with Ep. #300. Listen to that episode for the full story behind our new direction.

Ever get asked "how do LLMs work?" at a party and freeze? We walk through the full pipeline: tokenization, embeddings, inference — so you understand it well enough to explain it. Walk away with a mental model that you can use for your next dinner party. _Full shownotes at fragmentedpodcast.com. Show Notes Words -> Tokens: Tokenizer visualizer Tokens -> Embeddings: RGB Color modelWord2Vec techniqueEfficient Estimation of Word Representation Embeddings -> Inference: Word embeddingTemperature, Top-k, Top-p sampingGet in touch We'd love to hear from you. Email is the best way to reach us or you can check our contact page for other ways. We want to hear all the feedback: what's working, what's not, topics you'd like to hear more on. We want to make the show better for you so let us know! Contact usNewsletterYoutubeWebsiteCo-hosts: Kaushik GopalIury Souza[!fyi] We transitioned from Android development to AI starting with Ep. #300. Listen to that episode for the full story behind our new direction.

MCPs are everywhere, but are they worth the token cost? We break down what Model Context Protocol actually is, how it differs from just using CLIs, the tradeoffs you should know about, and when MCPs actually make sense for your workflow. Full shownotes at fragmentedpodcast.com/episodes/302. Show Notes MCP - Model Context ProtocolRemote MCP server example - Glean Agentic AI Foundation setup by Linux foundationGithub MCPGithub gh CLIPlaywright MCPContext7 MCP Advanced Tool UseTips ast-grep agent-browser by Vercel Get in touch We'd love to hear from you. Email is the best way to reach us or you can check our contact page for other ways. We want to hear all the feedback: what's working, what's not, topics you'd like to hear more on. We want to make the show better for you so let us know! Contact usNewsletterYoutubeWebsiteCo-hosts: Kaushik GopalIury SouzaWe transitioned from Android development to AI starting with Ep. #300. Listen to that episode for the full story behind our new direction.

Most folks reference "AI coding" like it's one thing. It's really not. In this foundational episode Kaushik & Iury walk through (at least) four paradigms — from super autocomplete to agent orchestration — each with different workflows, expectations, and mental models. What do most developers follow today? Where is the frontier? What's coming in the future? Listen to the episode and find out! Full shownotes at fragmentedpodcast.com. Show Notes Gen 1: Super autocomplete Intellisense - regular autocompleteGithub CopilotCursor TabGen 2: Chat Oriented Programming Cursor IDEFirebenderGen 3: Agent Nvidia's definition of an AgentReAct PromptingChain of Thought was a prompting hackDeepSeekDeepSeek - R1 paperClaude CodeOpen CodeCodex CliGemini CliCursor AgentCopilot (MS)Junie - IntellijAntigravity - GoogleJules - GoogleClaude Code on the WebCodex WebGen 4: Agent Orchestration Git worktreesTips compact commandConfirm if my requirements are clear. If you have follow up questions, ask me first and clarify before executing anything. Contact us NewsletterWebsiteContact usYoutubeCo-hosts: Kaushik GopalIury Souza

Fragmented is changing. New direction, new cohost. Kaushik explains the pivot from Android to AI development and introduces Iury Souza. From vibe coding to software engineering — one episode at a time. Full shownotes at fragmentedpodcast.com. Contact us NewsletterWebsiteContact usYoutubeCo-hosts: Kaushik GopalIury Souza

Join us as we talk with Vinay Gaba, Android GDE and leading voice in Android development, about the future of the field. Vinay shares insights from interviews with top Android devs on their three-year predictions, and offers his own perspective. We cover AI's impact, evolving development roles, and crucial future skills. You can find the full shownotes over at fragmentedpodcast.com. Show Notes Vinay's personal websiteDispatch - Jetpack Compose newsletterIssue #11 - Future of AndroidDevCursor AI IDEJetbrains AI assistantJetbrains Junie - the coding agentPessimists avoid risk, Optimists change the world. Contact us fragmentedpodcast.comContact usYoutubeKaushik: kau.shThreadsBlueskyYoutube@kaushikgopal

In this episode, we dive into the power of rapid prototyping for Android developers using Kotlin. We explore how this crucial skill can impress stakeholders, accelerate your workflow, and help you stay ahead in today's fast-paced tech landscape. We'll cover use cases across scripting, web development (with Ktor & HTMX), mobile apps (Jetpack Compose), and even touch upon how AI is changing the game! You can find the full shownotes over at fragmentedpodcast.com. Show Notes State of Kotlin Scripting 2024 - Jetbrains blogplayground-ktAdvent of CodeHugoCloudflare PagesSlashdot effectFragmented Podcast WebsiteHenryKtorHTMXAjaxCSS TransitionsServer Sent EventsYoutube Video showing Ktor + HTMXEpisode 252playground-androidFlutterKotlin Multiplatform KMPReact NativeStreamlitSnowflake acquires StreamlitGoogle AI StudioKotlin AIVibe coding an AirBnb cloneContact us fragmentedpodcast.comContact usYoutubeKaushik: kau.shThreadsBlueskyYoutube@kaushikgopal

In this episode, we dive into the programming paradigm — Data Oriented Programming (DOP) and why making data the star can simplify your code. Learn how well-modeled data reduces defensive logic, prevents invalid states, and keeps your apps stable. We’ll also contrast DOP with Object Oriented Programming (OOP) and Functional Programming (FP), sharing practical examples, tips, and resource links to deepen your understanding. The full shownotes with illustrations are on fragmentedpodcast.com. Show Notes email newsletterObject Oriented ProgrammingFunctional ProgrammingData Oriented Programming (DOP) UUIDRFC 4122nowincludesUUIDResources seminal articleTies Van de VenData Oriented Programming in JavaDevoxx talk by Nicolai ParlogContact us fragmentedpodcast.comContact usYoutubeKaushik: kau.shThreadsBlueskyYoutube@kaushikgopal

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 Immutable Arrays on githubImmutability episode #66JMHBenchmarks pageKotlin avoids entire categories of Java defectsK2 compilerWebsitepods4k github discussionsContact us fragmentedpodcast.comContact usYoutubeKaushik: kau.shThreadsBlueskyYoutube@kaushikgopalDisclaimer: Links shared might be affiliate links. They help support the production of Fragmented. Thank you for your support.

Kaushik looks at a new logging library from Square called logcat. He starts by seeing how the popular Timber library does it along with the benefits. He then interviews Pierre-Yves Ricau (Piwai) of Square, the creator of logcat, to explore its origins and advantages. You can find the full shownotes over at fragmentedpodcast.com. Show Notes TimberlogcatMotivations in READMECompiler plugin issuePlayground android app demonstrating logcatbitdrift.ioDesign of everyday thingsPrevious episode #191 on loggingWebsiteBlueskyContact You can find us on a few places: fragmentedpodcast.comContact usYoutubeKaushik: kau.shThreadsBlueskyYoutube@kaushikgopalDisclaimer: Links shared might be affiliate links. They help support the production of Fragmented. Thank you for your support.

In this episode of Fragmented, Kaushik dives into the importance of creating your own starter template to streamline app development and minimize decision fatigue. He shares insights from his own starter template - Playground Android. Looking to the future, JetBrains has an exciting tool called Amper that might make all of this much easier. Kaushik chats with JetBrains’ Márton Braun about Amper, an exciting new tool that could revolutionize Kotlin & Android project setups. Tune in to learn how to go from idea to code with less friction! You can find the full shownotes over at fragmentedpodcast.com. Show Notes Playground AndroidThe Architecture Templatesblog postBloco's starter templatewhat i referenced a lotDonn's project - Jumpstart Androidif you care about quickly getting a Rails app integrated with Android in a hybrid experienceNow in Androidtoo much functionality for my tasteJake's u2020for some good times nostalgiaPlayground Androidversion catalogsharing build logicgradle convention pluginMakefileCustom lint-rulesMulti module setupdependency injection with kotlin-inject-anvilEpisode 251 - There's a new king in DI townfunction-injectionAmperlogcatmultiple loggersktor#10Iury's post on Kotlin DevexAmperblog posts on AmperFeedback on Amper - kotlinlang slackMárton BraunContact You can find us on a few places: fragmentedpodcast.comYoutubeKaushik: kau.shBluesky@kaushikgopalThreadsYoutubeDisclaimer: Links shared might be affiliate links. They help support the production of Fragmented. Thank you for your support.

In this episode, Kaushik explores the evolution of dependency injection (DI) in Android development. Dagger has been the de-facto solution for DI in Android but there might be a new king in DI-town. He also chats with friend of the show and dependency injection expert Ralf Wondratschek for a final gut check. Shownotes: https://fragmentedpodcast.com/episodes/251

We're back from the hiatus with our SemiQuicentennial episode! With the momentous 250 comes some big announcements and a shift in the way we do things. Listen to find out the details! Shownotes: https://fragmentedpodcast.com/episodes/250

In this episode of our podcast, we explore the diverse landscape of Java versions within the Android ecosystem. Our guest is Michael Bailey, a seasoned Java expert who has been a frequent presence on our show since the early days of our podcast. We kick off with a solid foundation, discussing the differences between JDK and JRE, as well as the distinctions between the available Java JDKs. We also guide listeners through Android Studio settings, exploring how to select a suitable JDK, its utilization, and how it relates to JAVA_VERSION on one's home path/terminal. As we dig deeper, we start to unpack some of the crucial Android app settings. From compileOptions to sourceCompatibility/targetCompatibility, we shed light on why these versions are important. We also demystify the compileSdk vs minSdk vs targetSdk, and how they interconnect. Drawing from Kaushiks's recent experience in building a new app, we provide real-life examples that can better clarify these topics for our listeners. We conclude the episode by providing some valuable resources for further understanding and exploration. This episode is designed to be a comprehensive guide to understanding and navigating the intricacies of Java versions in Android development. Links Michaely Fragmented Episode 9 (Google IO Special)Fragmented Episode 10 (core java)Fragmented Episode 78 (testing strategies)OpenJDK on GitHubFooJayCompile Options ReferenceSDK extensions@Yogurtearl explanationJpackageFind Michael Online @yogurtearl on TwitterDonn's Git Course Need to learn Git? Donn has the course for you. In this FREE course you'll learn everything you need to know in order to start working with Git everyday. Watch it here. AndroidJobs.IO AndroidJobs.IOSoftware Freelancing Freelance Tactics BookDonn's Freelancing Content on YouTubeContact @fragmentedcast on Twitter or our YouTube channel Donn @donnfelkerdonnfelkerDonn's YouTubeDonn's WebsiteKaushik kau.shtwitter.kau.shmastodon.kau.shyoutube.kau.shDisclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.

In this edition of Fragmented, we're thrilled to host Ishan Khanna, a software engineer at Tinder who possesses great enthusiasm for feature flags and A/B testing. Donn discusses why he invited Ishan on the show, highlighting Ishan's passion for feature flagging and A/B testing. The conversation kicks off with an insightful story from Ishan about feature flagging at Booking.com, leading to a discussion on the difference between A/B Testing and Feature Flags, when and why to introduce feature flagging, and how to measure its effectiveness. The show also focuses on the benefits and risks of feature flagging, along with ways to manage potential complexities in the codebase. We then delve deeper into the topic of feature flagging, covering how to get started, what to look for in a tool, and the role of testing. Discussion points include the best practices for rollout percentages, considerations for multi-platform implementation, and the specifics of targeting in feature flagging. The conversation wraps up with an exploration of available tools for those looking to introduce feature flagging or A/B testing frameworks into their operations, examining when it might be necessary to build a bespoke solution. The episode offers a wealth of resources for listeners, including links to an array of feature flagging and A/B testing tools, such as Firebase Remote Config, Optimizely, and LaunchDarkly. For more insight into the topics discussed, Ishan recommends his Droidcon Berlin talk on 'Customer Driven Development' and Stuart Frisby’s talk on A/B Testing. To reach out to Ishan, listeners can contact him via Twitter, LinkedIn, or his website. Links Here are the links mentioned in the document, in markdown format: Firebase Remote ConfigOptimizelyLaunchDarklyAWS AppConfig for Feature FlagsVWOUnleash - Open Source Feature FlagsPosthog Feature Flags and A/B TestingIshan's Droidcon Berlin TalkStuart Frisby's Talk on A/B TestingErindoesthingsContact Ishan Ishan on Twitter - @droidchefIshan on LinkedInIshan's WebsiteDonn's Git Course Need to learn Git? Donn has the course for you. In this FREE course you'll learn everything you need to know in order to start working with Git everyday. Watch it here. AndroidJobs.IO AndroidJobs.IOSoftware Freelancing Freelance Tactics BookDonn's Freelancing Content on YouTubeContact @fragmentedcast on Twitter or our YouTube channel Donn @donnfelkerdonnfelkerDonn's YouTubeDonn's WebsiteKaushik kau.shtwitter.kau.shmastodon.kau.shyoutube.kau.shDisclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.

In this episode, we talk to, Siggi Jonsson. Siggi helps guide us through the complex and often confusing world of Android app modularization. Our conversation will begin by shedding light on the importance of modularization, what triggers the need for breaking projects into multiple modules, and how modularization relates to team size, feature teams, and code ownership. This discussion is aimed at demystifying how and why developers often choose to modularize their applications. As we move forward, we'll dive into more advanced aspects of modularization, such as the challenges of scaling and the potential missteps in over-modularization. Drawing on real-world experiences, we'll examine the red flags that signal a need for revising your modularization strategy. This part of our discussion will also highlight some specific tools and techniques that can help manage and visualize your project's modularization, and Siggi will share his own experiences and insights into how these tools have assisted in his modularization strategy. In the final part of the episode, we'll touch on the benefits and strategies of proper modularization. Siggi will share practical advice on how to tackle big projects, fix issues with modularization, and make a smooth transition from monolithic to modular structures. We'll also talk about some tools that can be handy in this process. Before closing, Siggi will offer his top tips for developers embarking on their modularization journey and share some valuable resources to help them. Siggi will also provide updates on his latest work and how listeners can reach out to him. Links Sure, here are the links provided in the text, formatted in Markdown: Siggi Jonsson's Droidcon TalkGraph Assert PluginDependency Analysis Android Gradle PluginGraph Untangler Plugin by Siggi JonssonGraphVizGephiDriving architectural improvements with dependency metricsInaki Villar Twitter - Build Engineer Siggi MentionedFind Siggi online here: Siggi Jonsson on TwitterSiggi Jonsson on GithubSiggi Jonsson's WebsiteSiggi Jonsson on LinkedInKindredDonn's Git Course Need to learn Git? Donn has the course for you. In this FREE course, you'll learn everything you need to know to start working with Git daily. Watch it here. AndroidJobs.IO AndroidJobs.IOSoftware Freelancing Freelance Tactics BookDonn's Freelancing Content on YouTubeContact @fragmentedcast on Twitter or our YouTube channel Donn @donnfelkerdonnfelkerDonn's YouTubeDonn's WebsiteKaushik kau.shtwitter.kau.shmastodon.kau.shyoutube.kau.shDisclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.

In this podcast episode, we have the pleasure to host Fred Porciúncula, a Google Developer Expert (GDE) known for his work with Kotlin Inject and his invaluable contributions to the Android development community. Fred offers his expertise on Dependency Injection (DI), Kotlin Multiplatform (KMP), and how they intersect. We kick off the conversation by discussing Dependency Injection (DI), its importance, and the options available to developers, including Dagger, Hilt, Anvil, Koin, and Kotlin-Inject. Fred explains the use and impact of DI in the Kotlin Multiplatform (KMP) world, considering Dagger’s current lack of KMP support and debating whether one should use separate DI tools for Android apps and KMP components. Delving further into Kotlin-Inject, we explore its features, usage, and how it differentiates itself from other DI solutions. Topics discussed include its unique handling of Scopes, its support of constructor injection, and its utility in building dependency graphs. Furthermore, we examine the timeless debate of Dependency Injection versus Service Locator. Toward the end of the episode, Fred presents his thoughts on the advantages and disadvantages of exclusively using Kotlin-Inject throughout an application. We also tackle the concept of “Vanilla Injection” - refraining from using DI libraries at all. For further learning, we recommend resources like Fred's insightful article on transitioning from Dagger/Hilt to Kotlin-Inject, a Dagger issue discussing KSP support, and a Kotlin-Inject discussion on Anvil-like features. Links to these resources, among others, are provided below. Don’t miss out on this engaging and informative episode with Fred Porciúncula! Links Kotlin Inject LibraryFred's Kotlin Inject ArticleTesting with Kotlin InjectKotlin Inject Scope IssuePulling code out of the platform classDI vs Service LocatorsDagger KSP SupportKotlin Inject Anvil Like FeaturesMaking Your Android Application Work on iOS (Touchlab mentioning interfaces over expect)Moko ResourcesKlima EngineeringFind Fred Online Here Twitter - @tfcporciunculaandroiddev.social/@fredKlima Engineering BlogDonn's Git Course Need to learn Git? Donn has the course for you. In this FREE course you'll learn everything you need to know in order to start working with Git everyday. Watch it here. AndroidJobs.IO AndroidJobs.IOSoftware Freelancing Donn's Freelance Faction CommunityFreelance Tactics BookDonn's Freelancing Content on YouTubeContact @fragmentedcast on Twitter or our YouTube channel Donn @donnfelkerdonnfelkerDonn's YouTubeDonn's WebsiteKaushik kau.shtwitter.kau.shmastodon.kau.shyoutube.kau.shDisclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.

In this episode, Donn and Kaushik talk to an old friend of the show, Colin White, about Treehouse, a combination of the Redwood and Zipline libraries. Colin is a Staff Engineer at Cash App (Block). Redwood is a multiplatform Compose library that allows you to target multiple UI toolkits on various native platforms. Ultimately this allows you to share presentation logic. Zipline is a multiplatform JavaScript engine for Android, iOS, and the JVM, which uses Kotlin for calls in/out of the JavaScript land. This allows you to update the application logic of your apps without the traditional song and dance of the app store approval and release process. Treehouse is the combination of both libraries, Redwood and Zipline. Listen in to learn more ... Links RedwoodZiplineQuickJSKotlin Conf Talk on TreehouseDroicon NY talk - RedwoodDroidcon NY talk - ZiplineFind Colin Online here Twitter - @colinwhiMastodonAndroidJobs.IO AndroidJobs.IOContact @fragmentedcast on Twitter or our Youtube channel Donn @donnfelker (Twitter)donnfelker (Instagram)Donn's YouTubeDonn's WebsiteKaushik kau.sh@kaushikgopal (Twitter)mastodon.kau.shkaushikgopal - YouTubeDisclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.

In this episode, Donn and Kaushik announce that they are steering the podcast back into Android waters. In other words, the Fragmented Podcast is returning to its roots ... we're back to being a 100% Android Development focused show. We're glad to have you as a listener, here's to the future of Android Development. 🚀 AndroidJobs.IO AndroidJobs.IOContact @fragmentedcast or our Youtube channel @donnfelker and donnfelker (on Instagram) Freelancing for Mobile Developers (Donn's YouTube) kaushikgopal (on YouTube) or kau.sh/blog or @kaushikgopal Disclaimer: Many of the links we share to products are affiliate links. They help support the production of Fragmented. Thank you for your support.