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, laptops roar under four parallel Gradle builds, and review queues keep growing. 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 send you PRs to approve.
Full shownotes at fragmentedpodcast.com.
Show Notes #
- Andrej Karpathy on agents and token throughput - NoPriors podcast — maximize agent runtime, not token burn
- Cursor Agent Mode - Multiagent interface - introduced the multi-agent board as a new paradigm for local parallel agents
- Google Antigravity - Agent Manager interface
- Claude Code Agent Teams - spawn sub-agents from a main orchestrator, with tmux pane integration
- Git worktrees - /reddit
Remote Background Agents in the cloud #
- Google Jules - hosted GitHub-connected agent, proposes a plan, edits code, runs tests, opens a PR
- Cursor Cloud Agents - remote agents that clone your repo in the cloud and work in parallel
- OpenAI Codex - cloud software engineering agent for parallel tasks
- Claude Code on the web - 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 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.
Co-hosts: #
We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind our new direction.