Fragmented - AI Developer Podcast

Fragmented - AI Developer Podcast

Fragmented is an AI developer podcast for engineers who want to go beyond vibe coding and ship real software. We cover AI-assisted development the way working engineers actually use it: prompting strategies, code review, testing, debugging, workflows, and building production-grade software with AI tools. No hype. No "I shipped a SaaS in a weekend" stories. Just tactics that work. Hosted by Kaushik Gopal and Iury Souza — software engineers using AI daily to build and ship real products. From vibe coding to software engineering — one episode at a time. Our goal: help you use AI to become a better engineer, not be replaced by one.

Episodes

October 19, 2026 • 60 mins

What does it take to keep an agent working after its process dies? Pi creator Mario Zechner and Earendil co-founder Armin Ronacher join KG to explain Pi Durable: explicit tasks, crash recovery, and the primitives for multiplayer agents. We also dig into why Pi added MCP and codemode, and why a harness that can rewrite itself still needs a clear goal.

Full shownotes at fragmentedpodcast.com.

Show Notes

Pi 1.0, Earendil and...
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    Claude Code and Codex have been the mainstay agent harnesses, with OpenCode and Pi as the popular open-source alternatives. But two new entries are pushing what a harness even is: DeepSeek's Cordis kernel, where everything — down to the agent loop itself — is a plugin you can hot-swap at runtime, and Prime Agent, an RLM-based harness that treats sub-agents and context as function calls in a live REPL. We break down what...

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    Mitchell Hashimoto co-founded HashiCorp, built some of the most impressive DevOps tools like Vagrant and Terraform, sold the company to IBM — and then built a terminal. Ghostty is now where a huge chunk of agentic coding actually happens. Mitchell was an AI skeptic. We walk through his six-step adoption framework and the workflows he uses day to day — warm-start research, Hail Mary prompts across twenty GitHub issues, a...

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    March 31, 2026 • 25 mins

    Andrej Karpathy says the goal is to maximize how long an agent runs without your intervention. But there's a false summit most teams hit first: individual speed goes up while system speed stalls, your laptop roars under four parallel Gradle builds, and review queues back up. Kaushik and Iury trace the full arc — from local multitasking to cloud-hosted async work to fully autonomous agents that fire on repo events and put PRs ...

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    You already know how LLMs work from our popular 20-minute explainer. Now we take it to images. What does Michelangelo have to do with stable diffusion? More than you'd think. Walk away knowing how image generation actually works — and what it has in common with the text models you already understand.

    Full shownotes at fragmentedpodcast.com.

    Show Notes

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    The hard part of AI coding isn't generating code — it's controlling quality, safety, and drift. Kaushik and Iury break down harness engineering: the five pillars for shaping an agent's environment and what it looks like when teams build custom harnesses from scratch.

    Full shownotes at fragmentedpodcast.com.

    Show Notes

    Why it matters

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    AGENTS.md is becoming the common language for AI coding tools, but keeping repo
    rules, personal rules, and tool-specific files in sync is still messy. In this
    episode, Kaushik and Iury break down the sync problem, compare their own setups,
    and unpack what the latest AGENTS.md research actually says.

    Full shownotes at fragmentedpodcast.com.

    Show Notes

    The sync problem

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    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: offic...

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    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

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    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:

    Tokens -&...
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    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

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    January 19, 2026 • 24 mins

    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 fragmente...

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    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

    Co-hosts:

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    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

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    February 24, 2025 • 21 mins

    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 shownote...

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    February 18, 2025 • 31 mins

    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 understandi...

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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 episo...

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    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

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    November 26, 2024 • 24 mins

    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...

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    November 12, 2024 • 18 mins

    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

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