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 - /redditRemote 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
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WebsiteCo-hosts:
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