300 - From Vibe coding to Software engineering

More from Fragmented - AI Developer Podcast

1. 

   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.

2. 

   E302 · 26 Jan 2026 · 19 min

   302 - MCPs Explained - what they are and when to use them

   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

3. 

   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!

4. 

   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).

5. 

   E256 · 24 Feb 2025 · 22 min

   256 - Rapid prototyping with Kotlin

   In this episode, we talk about the art of rapid prototyping across various platforms and using Kotlin tech to get it done. Also, how will AI change this? Listen to find out more. You can find the [full shownotes over at fragmentedpodcast.com](https://fragmentedpodcast.com/episodes/256/).

6. 

   E255 · 18 Feb 2025 · 32 min

   255 - Data Oriented Programming

   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](https://fragmentedpodcast.com/episodes/255/).

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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