Run AI Agents Like a Factory: One Developer Ships 15 Features in Parallel With 6 Markdown Files
Roger_M_Taylor · x · 2026-09-18
The Startup Ideas Podcast shared a four-step "software factory" workflow for running agents in parallel:
- Station: each custom order gets its own station so it doesn't interfere with production—map this to a branch or work tree.
- Assembly line: the agent writes code, changes files, adds structure.
- Quality control: does it turn on, does it fit, does it break under pressure—run tests, open a preview, read logs and screenshots.
- Shipping: merge, deploy the PR, write release notes.
Failed QC sends feedback back to the agent team, and the loop repeats. Guest Mickey demoed his full setup live: five or six markdown files, fifteen features building simultaneously on one app—while most people run agents one feature at a time.
More from coding & agent
- Distributed-Slides: an MCP server that compiles agent-written talks into offline presentations — arthurcolle · 2026-09-18
- Vercel skills CLI adds Notion-hosted agent skills, no Git repo required — ivanhzhao · 2026-09-18
- Vercel teams have long written GTM and on-call skills in Notion — ivanhzhao · 2026-09-18
- eve adds automatic model selection: agents pick models by task difficulty before inference — cramforce · 2026-09-18
- DHH on Lex Fridman: Nov 2024 split coding into two universes, agentic coding is transformative — zakkohane · 2026-09-18
- Vercel CLI now deploys static artifacts in under one second, build step skipped — cramforce · 2026-09-18