Fragmented - AI Developer Podcast

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 actually makes each one different.

Full shownotes: https://fragmentedpodcast.com/episodes/311

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 fragmentedpodcast.com.

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.

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

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.

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.

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

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.

We'd love to hear from you. Email is the

We want to hear all the feedback: what's working, what's not, topics you'd like

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

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.

We'd love to hear from you. Email is the

We want to hear all the feedback: what's working, what's not, topics you'd like

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

AGENTS.md is becoming the common language for AI coding tools, but keeping repo

Full shownotes at fragmentedpodcast.com.

We'd love to hear from you. Email is the

We want to hear all the feedback: what's working, what's not, topics you'd like

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind

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.

Agents, Modes, Subagents: official harness docs

• Claude Code Subagents
• Gemini CLI Subagents
• Opencode Subagents
• Cursor Subagents
• Antigravity Agent Modes
• AOE Scouting

• Introducing Claude Opus 4.5
• Deep-Research Agents Paper
• Post: GPT-5 System Card by Alex
  Xu
• Self-Driving Codebases Blog -
  multi-agent systems making 1,000 commits/hour

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 us
• Newsletter
• Youtube
• Website

• Kaushik Gopal
• Iury 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.

• Progressive Disclosure -
  how skills are loaded into context
• Agent Skills Open Specification
• AAIF (Agentic AI Foundation) -
  Linux Foundation initiative for AI interoperability
• Needle in a Haystack Problem - original
  "Lost in the Middle" paper
• Agent-Invokable vs User-Invokable -
  merging skills and commands in Claude Code

• Skill Creator -
  Anthropic's skill for creating new agent skills
• Claude Code frontmatter reference
  • see model: * & context: fork

• Anthropic Skills GitHub Repository -
  official collection of Claude skills and examples
• Clawdhub - Clawdbot's skill hub. All versions are
  archived here
• SKILLS.sh - Vercel's skills hub

[!warning] Don't install from hubs blindly.

Inspect the repo code before adding anything to your agent.

• Prompt Injection Attacks -
  OWASP guide to LLM prompt injection vulnerabilities
• OpenClaw <- MoltBot <- Clawdbot
• OpenClaw Security Analysis -
  analysis of prompt injection risks in open agent frameworks
• Malware found in a top-downloaded Clawhub skill -
  incident report thread

• Few-Shot Prompting -
  improving outputs with examples
• .agents/skills - proposal
  to standardize the skills folder path
• Vercel: AGENTS.md vs Skills -
  comparison of agent instruction methods

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 us
• Newsletter
• Youtube
• Website

• Kaushik Gopal
• Iury 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.

• OpenAI Tokenizer visualizer -
  Visualize how text becomes tokens

• RGB Color model - wikipedia
• Word2Vec technique - wikipedia
  • Efficient Estimation of Word Representation -
    original Word2Vec paper by Mikolov et al.

• Word embedding
• Temperature, Top-k, Top-p samping

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 us
• Newsletter
• Youtube
• Website

• Kaushik Gopal
• Iury 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.

• MCP - Model Context Protocol
• Remote MCP server example - Glean
• AAIF -
  Agentic AI Foundation setup by Linux foundation
• Github MCP
• Github gh CLI
• Playwright MCP
• Context7 MCP
• Anthropic's announcement on
  Advanced Tool Use

• Iury: use ast-grep to structurally
  search code faster
• KG: use agent-browser by Vercel to give browsing
  power to your agent

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 us
• Newsletter
• Youtube
• Website

• Kaushik Gopal
• Iury Souza

We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind
our new direction.