Fragmented - AI Developer Podcast

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. SHOW NOTES * Andrej Karpathy on agents and token throughput [https://www.youtube.com/watch?v=kwSVtQ7dziU] - NoPriors podcast — maximize agent runtime, not token burn * Cursor Agent Mode - Multiagent interface [https://cursor.com/changelog/2-0#multi-agents] - introduced the multi-agent board as a new paradigm for local parallel agents * Google Antigravity - Agent Manager interface [https://antigravity.google/docs/agent-manager] * Claude Code Agent Teams [https://code.claude.com/docs/en/agent-teams] - spawn sub-agents from a main orchestrator, with tmux pane integration * Git worktrees [https://www.reddit.com/r/ProgrammerTIL/comments/mtjg0c/git_til_about_git_worktrees/] - /reddit REMOTE BACKGROUND AGENTS IN THE CLOUD * Google Jules [https://jules.google.com/] - hosted GitHub-connected agent, proposes a plan, edits code, runs tests, opens a PR * Cursor Cloud Agents [https://cursor.com/blog/cloud-agents] - remote agents that clone your repo in the cloud and work in parallel * OpenAI Codex [https://openai.com/blog/introducing-codex/] - cloud software engineering agent for parallel tasks * Claude Code on the web [https://claude.ai/code] - cloud-hosted Claude Code sessions decoupled from your local machine BUILDING TRUST * Episode 307 - Harness Engineering - the earlier episode on shaping agent environments — and why this ceiling exists GET IN TOUCH We'd love to hear from you. Email [contact@fragmentedpodcast.com] 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 [https://fragmentedpodcast.com/contact] * Newsletter [https://buttondown.com/fragmentedcast] * Youtube [https://www.youtube.com/@fragmentedpodcast] * Website [https://fragmentedpodcast.com] CO-HOSTS: * Kaushik Gopal [https://kau.sh/] * Iury Souza [https://iurysouza.dev/] > [!fyi] We transitioned from Android development to AI starting with > Ep. #300. Listen to that episode for the full story behind > > our new direction.

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 fragmentedpodcast.com [https://fragmentedpodcast.com/episodes/308]. SHOW NOTES * Episode 303 - How LLMs work in 20 minutes - text generation * VAE - Variational Autoencoder [https://www.ibm.com/think/topics/variational-autoencoder] * RGB Color model [https://en.wikipedia.org/wiki/RGB_color_model] - wikipedia * Word2Vec technique [https://en.wikipedia.org/wiki/Word2vec] - wikipedia * Efficient Estimation of Word Representation [https://arxiv.org/abs/1301.3781] - original Word2Vec paper by Mikolov et al. * High-Resolution Image Synthesis with Latent Diffusion Models [https://arxiv.org/abs/2112.10752] - Rombach et al. (2022) — the paper behind Stable Diffusion * Image Training data * LAION-5B [https://arxiv.org/abs/2210.08402] - 5 billion image-text pairs scraped from the web, used to train many image generation models * WebLI [https://www.aibase.com/news/15390] - Google's internal image-text dataset * Michelangelo [https://www.goodreads.com/quotes/1191114-the-sculpture-is-already-complete-within-the-marble-block-before] GET IN TOUCH We'd love to hear from you. Email [contact@fragmentedpodcast.com] 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 [https://fragmentedpodcast.com/contact] * Newsletter [https://buttondown.com/fragmentedcast] * Youtube [https://www.youtube.com/@fragmentedpodcast] * Website [https://fragmentedpodcast.com] CO-HOSTS: * Kaushik Gopal [https://kau.sh/] * Iury Souza [https://iurysouza.dev/] > [!fyi] We transitioned from Android development to AI starting with > Ep. #300. Listen to that episode for the full story behind > > our new direction.

307 - Harness Engineering - the hard part of AI coding

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 [https://fragmentedpodcast.com/episodes/307]. SHOW NOTES WHY IT MATTERS * Harness Engineering [https://openai.com/index/harness-engineering/] - OpenAI's post on building their Codex codebase (~1M lines of code, 1,500 PRs merged, zero manually written) SHAPING THE HARNESS * The Feed's Lost and Found [https://iurysouza.dev/newsletter/the-feeds-lost-and-found-01/] - Iury's newsletter consolidating harness engineering themes 1. Agent legibility 2. Closed feedback loops 3. Persistent memory 4. Entropy control 5. Blast radius controls BUILDING THE HARNESS * Minions: Stripe's one-shot, end-to-end coding agents [https://stripe.dev/blog/minions-stripes-one-shot-end-to-end-coding-agents] - Stripe forked Goose to build custom agents for their codebase * Goose [https://github.com/block/goose] - open-source coding agent from Block * Superpowers [https://github.com/obra/superpowers] by Jesse Vincent - skills that enforce a proper software engineering process * Open Code [https://opencode.ai/] - open-source coding agent you can fork and customize OTHER RESOURCES * Agent Harness Glossary [https://latentpatterns.com/glossary/agent-harness] - Latent Patterns * Towards self-driving codebases [https://cursor.com/blog/self-driving-codebases] - Cursor * Agentic Workflows [https://githubnext.com/projects/agentic-workflows] - GitHub Next * Future of Software Development [https://www.thoughtworks.com/content/dam/thoughtworks/documents/report/tw_future%20_of_software_development_retreat_%20key_takeaways.pdf] - ThoughtWorks GET IN TOUCH We'd love to hear from you. Email [contact@fragmentedpodcast.com] 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 [https://fragmentedpodcast.com/contact] * Newsletter [https://buttondown.com/fragmentedcast] * Youtube [https://www.youtube.com/@fragmentedpodcast] * Website [https://fragmentedpodcast.com] CO-HOSTS: * Kaushik Gopal [https://kau.sh/] * Iury Souza [https://iurysouza.dev/] > [!fyi] We transitioned from Android development to AI starting with > Ep. #300. Listen to that episode for the full story behind > > our new direction.

306 - Keeping your agent instructions in sync and effective

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 [https://fragmentedpodcast.com/episodes/306]. SHOW NOTES THE SYNC PROBLEM * AGENTS.md [https://agents.md] - Official spec * Custom instructions with AGENTS.md [https://developers.openai.com/codex/guides/agents-md/] - Open AI * Keep your AGENTS.md in sync [https://kau.sh/blog/agents-md/] - Kaushik's post * Rulesync [https://github.com/jpcaparas/rulesync] - What Iury uses * Tweet by Ryan Carson and Claude frustrations [https://x.com/ryancarson/status/2024144258702143782] OTHER LINKS * Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? [https://arxiv.org/abs/2602.11988] * Harness engineering - Check the section about using AGENTS.md as a table of contents [https://openai.com/index/harness-engineering/] * OpenCode [https://opencode.ai/] GET IN TOUCH We'd love to hear from you. Email [contact@fragmentedpodcast.com] 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 [https://fragmentedpodcast.com/contact] * Newsletter [https://buttondown.com/fragmentedcast] * Youtube [https://www.youtube.com/@fragmentedpodcast] * Website [https://fragmentedpodcast.com] CO-HOSTS: * Kaushik Gopal [https://kau.sh/] * Iury Souza [https://iurysouza.dev/] > [!fyi] We transitioned from Android development to AI starting with > Ep. #300. Listen to that episode for the full story behind > > our new direction.

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 fragmentedpodcast.com [https://fragmentedpodcast.com/episodes/305]. SHOW NOTES RESOURCES & DOCUMENTATION OFFICIAL DOCUMENTATION Agents, Modes, Subagents: official harness docs * Claude Code Subagents [https://code.claude.com/docs/en/sub-agents.md] * Gemini CLI Subagents [https://geminicli.com/docs/core/subagents/] * Opencode Subagents [https://opencode.ai/docs/agents/] * Cursor Subagents [https://cursor.com/docs/context/subagents] * Antigravity Agent Modes [https://antigravity.google/docs/agent-modes-settings] * AOE Scouting [https://www.youtube.com/watch?v=0b9p6NNlfM8] RESEARCH PAPERS & ARTICLES * Introducing Claude Opus 4.5 [https://www.anthropic.com/news/claude-opus-4-5] * Deep-Research Agents Paper [https://arxiv.org/html/2508.06600v1#S4] * Post: GPT-5 System Card [https://x.com/i/status/2020922190775058608] by Alex Xu * Self-Driving Codebases Blog [https://cursor.com/blog/self-driving-codebases] - multi-agent systems making 1,000 commits/hour GET IN TOUCH We'd love to hear from you. Email [contact@fragmentedpodcast.com] is the best way to reach us or you can check our contact page [/contact] 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 [https://fragmentedpodcast.com/contact] * Newsletter [https://buttondown.com/fragmentedcast] * Youtube [https://www.youtube.com/@fragmentedpodcast] * Website [https://fragmentedpodcast.com] CO-HOSTS: * Kaushik Gopal [https://kau.sh/] * Iury Souza [https://iurysouza.dev/] > [!fyi] We transitioned from Android development to AI starting with > Ep. #300 [/episodes/300]. Listen to that episode for the full story behind > our new direction.