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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 https://fragmentedpodcast.com/episodes/302

Fragmented - AI Developer Podcast

by Kaushik Gopal, Iury Souza · English · Tech & Science

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…

More from Fragmented - AI Developer Podcast

  1. E305 · 17 Feb 2026 · 27 min

    305 - Subagents explained - What they are, when (not) to spawn them

    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 https://fragmentedpodcast.com/episodes/305

  2. E304 · 9 Feb 2026 · 27 min

    304 - Agent Skills - when to use them and why they matter

    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 https://fragmentedpodcast.com/episodes/304

  3. E303 · 2 Feb 2026 · 26 min

    303 - How LLMs Work - the 20 minute explainer

    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.

  4. E301 · 19 Jan 2026 · 25 min

    301 - The AI coding ladder

    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!

  5. E300 · 12 Jan 2026 · 9 min

    300 - From Vibe coding to Software engineering

    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.

  6. E257 · 4 Mar 2025 · 48 min

    257 - Future of AndroidDev in an AI world with Vinay Gaba

    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](https://fragmentedpodcast.com/episodes/257).

  7. E311 · 6 Sep 2026 · 13 min

    311 - Self learning harnesses are here

    Claude Code and Codex have been the mainstay. OpenCode and Pi showed what open-source harnesses could be. But two new entries just moved the goalposts: DeepSeek's Cordis kernel treats everything — even the agent loop itself — as a hot-swappable plugin, and Prime Agent runs the whole harness inside a live REPL where sub-agents are just function calls. Self-learning harnesses are here, and they're open source.

  8. E310 · 14 Apr 2026 · 1 hr

    310 - Mitchell Hashimoto on Ghostty & His Agentic Coding Workflow

    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, and knowing when to let the agent slam dunk it. Full shownotes at https://fragmentedpodcast.com/episodes/310/

  9. E309 · 1 Apr 2026 · 26 min

    309 - Background Agents

    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 in your inbox. Full shownotes at https://fragmentedpodcast.com/episodes/309

  10. E308 · 24 Mar 2026 · 25 min

    308 - How Image Diffusion Models Work - the 20 minute explainer

    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 https://fragmentedpodcast.com/episodes/308/

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