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Episode Description
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
- 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
- Episode 307 - Harness Engineering - the earlier episode on
shaping agent environments — and why this ceiling exists
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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.