
About this episode
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 - 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:
[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind
our new direction.
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