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The GasTown Workflows That Save Money
Created by Shaunak Ghosh
Build an advanced operating model for using GasTown day to day: treat the repo as the control plane, keep sessions disposable, and scale parallel workers without exploding cost. You’ll learn practical cost/throughput levers (context efficiency, spawn discipline) and the operational loops that keep large multi-agent work reliable.
Requirements
- Daily comfort using LLM coding agents in real repos
- Strong Git fluency (branches, diffs, PR-based workflow)
- Practical intuition for LLM context limits and tool-calling
- Experience delegating work across multiple parallel workstreams
What you'll learn
- Explain why a repo-embedded harness (skills/commands/hooks) enables GasTown’s durable, restartable workflows.
- Diagnose and reduce context rot using smallest-high-signal context and tool-based retrieval.
- Design a cost-aware scaling strategy using spawn discipline and context-sharded workers (Polecats) that return distilled results.
Learning path
4 modules • Each builds on the previous one
1
Hooks and Beads persistence model
Build a precise mental model of Gas Town’s core architectural difference: durable work state lives in git-backed hooks and Beads, so agents can restart, hand off, and continue without losing the thread.
1 video7 min
2
Cost model: subscriptions, caps, throttles
Translate Gas Town’s runtime choices into a practical cost-and-throughput operating model: how parallelism, context resets, and agent spawning affect real spend and usage caps even when you’re “not paying per token.”
1 video9 min
3
MEOW convoys and slinging strategy
Learn the workflow structure that makes Gas Town feel “different day to day”: MEOW-style decomposition into beads, grouping into convoys, and using formulas/molecules to make high-quality work repeatable and trackable.
1 video6 min
4
Feed, problems view, recovery loops
Adopt power-user operations patterns that prevent burn: monitoring at scale, detecting stuck agents early, and using recovery tools (nudge/handoff/seance) so work keeps moving under GUPP/NDI instead of stalling.
1 video9 min
Start Learning
Begin your learning journey
Modules4
Duration30 min
Science-backed learning
In-video quizzes and scaffolded content to maximize retention.
Key concepts
Repo-Embedded Harness Architecture (Skills/Commands/Hooks)Durable Work Artifacts And Session DisposabilityContext-Efficiency And Tool-Based Retrieval To Control Cost