Coding

Run coding agents like a teaching hospital

  • Level Intermediate
  • Setup1–3 hrs (estimated)
  • Evidence Some evidence
  • CostNot stated in source
  • No-codeNo
Claude CodeSource-linked

What they did

Cockroach Labs ran a coding-agent pipeline with hospital roles (triage nurse, fellow, review attending, discharge nurse) and mandatory planning and review before merge. Over 5 months it processed over a million lines of code with only 7 reverts.

How it went

Company engineering blog with specific numbers (1M+ lines, 7 reverts, Db2 support added in two days)

Worth knowing

  • Company engineering blog with specific numbers (1M+ lines, 7 reverts, Db2 support added in two days).

Prompt

Cleaned version rewritten from the source — not a direct quote.

Set up a pipeline for [repo] with separate agent roles: a triage agent that writes a short case note for each issue, an implementer that must write a plan before code, a reviewer that rejects anything without tests, and a discharge step that checks CI and writes release notes. Nothing merges without the reviewer's sign-off.

Recommended

Try it in Grok Bot

  1. Copy the prompt (button below).
  2. Open Grok Bot chat and paste it. Replace any [bracketed] placeholders.
  3. Connect the listed tools (as needed) as connectors when Grok Bot asks.
  4. If the task repeats, ask: "Make this a daily routine."

Alternatives: the same prompt works in Claude Code, Claude, ChatGPT Agent, OpenClaw.

Set it up

Stack: Coding agents (Claude Code pipeline)

  1. Read the original source for full context.
  2. Connect the tools your agent needs.
  3. Paste the prompt and replace [bracketed] placeholders.
  4. Run once manually and check the output before scheduling it.

Generic suggested steps, not from the source.

Evidence

Company engineering blog with specific numbers (1M+ lines, 7 reverts, Db2 support added in two days)

Source: Web · Verified by us: not yet · Report broken or outdated

Related use cases

ContentX · 2026-01

Turn YouTube channels into a weekly EPUB magazine

Every week, pulls new videos from a list of YouTube channels, rewrites their transcripts as magazine articles, and emails them to you as a newsletter plus an EPUB file.

  • Level Intermediate
  • Setup1–3 hrs*
  • Evidence Strong evidence
Claude CodeSource-linked
CodingX · 2026-10

Hermes Agent Nearly Doubled Speech-to-Text Accuracy on Hard Words: 99 to 183 of 240

A user turned his 15K saved Wispr Flow dictations into a test set for the local Whisper model behind his Hermes Agent. The agent turned his Wispr dictionary into a hint list, diffed raw vs corrected text to find words Whisper keeps mishearing, made find-and-fix rules, and tested every rule against the full history. With no fine-tuning, dictionary words went from 99/240 to 183/240 on Wispr clips and 19/45 to 43/45 on sentences he read aloud. It now archives the data nightly and looks for new fixes weekly.

  • Level Advanced
  • Setup1–3 hrs*
  • Evidence Strong evidence
Hermes AgentSource-linked
ResearchX · 2026-03

Build a NotebookLM + Obsidian research vault

Claude Code sends a pile of videos, PDFs and articles through NotebookLM and turns the output into linked Obsidian notes covering scenarios, actors and probabilities.

  • Level Intermediate
  • Setup1–3 hrs*
  • Evidence Some evidence
Claude CodeSource-linked