Multi-repo autonomous dev team loop

The fleet pattern: run agent loops across multiple repos in parallel, each isolated in its own git worktree, with a pluggable vendor layer spanning Claude Code, Codex, Cursor CLI, and OpenCode.

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→ Claude Code
Register repos, run loops across them in parallel, each loop in its own git worktree; pluggable vendor layer (claude-code, codex, cursor-cli, opencode) — plan, review, fix, ship on a loop. Cap the run at 25 iterations; leave remaining work for the next session.
claude-code

Implementation note

When to use: you are past single-repo loops and want agent capacity across a portfolio — several services or projects receiving loop attention in parallel, the fleet pattern. How it works: register your repos with the runner, then launch loops across them in parallel, each loop isolated in its own git worktree so concurrent runs never trample each other's working state. A pluggable vendor layer means each loop can run on Claude Code, Codex, Cursor CLI, or OpenCode, and the loop shape covers plan, review, fix, and ship. Safety: worktree isolation is the core rail — parallel agents share nothing at the filesystem level, so one loop's mess cannot corrupt another's checkout. The risk that scales with the fleet is spend and review load: five parallel loops produce five streams of diffs needing human eyes. Start with one or two repos and per-loop caps before going wide.

Source: nexu-io/looper ↗graded C · 60/100 — how grades work →

More automation loops

Ship PRD stories via dual-agent loop

Loop/ralphGitHubA

Ralph runs a generator and evaluator in tandem until all user stories pass acceptance criteria and browser tests.

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→ Claude Code
# Ralph Harness — Agent Instructions ## Overview Ralph Harness is an autonomous AI agent loop that runs AI coding tools (Amp or Claude Code) repeatedly until all PRD items are complete. Each iteration is a fresh instance with clean context. Ralph supports two modes: | Mode | Architecture | When to use | |------|-------------|-------------| | simple | Single agent (self-implement, self-check) | Quick tasks, backend-only stories, well-defined small changes | | harness | Generator + Evaluator (dual-agent with contract) | UI-heavy features, complex stories, when quality is critical | ## Architecture: Harness Mode ralph.sh orchestrator │ ├── Planner (prd.json) │ Defines user stories, acceptance criteria, dependencies │ ├── Generator (generator-prompt.md) │ Drafts sprint contracts → Implements stories → Fixes based on feedback │ └── Evaluator (evaluator-prompt.md) Reviews contracts → Signs/locks → Tests in browser → Scores → Writes feedback ### Per-Story Flow 1. Contract Negotiation : Generator drafts contract.json → Evaluator reviews → Back-and-forth until Evaluator signs → Contract locked (immutable) 2. Build : Generator reads Hard cap: stop after 30 iterations even if PRD items remain.
automationhigh risk

Ship production-grade apps autonomously

Loop/ralphGitHubB

Hand an idea to Claude Code; it authors specs, designs, builds, tests, secures, and ships until enterprise done or budget exhausted.

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→ Claude Code
# dare-to-be-stupid — Design (v2, refined) > A Claude Code plugin. One command, /dare , hands an idea or PRD to an autonomous > loop that authors specs, designs, builds, tests, secures, ships, fixes, and iterates > until the app passes an enterprise-production definition of done — or the budget dies. > > Named for the Weird Al song. The joke is that it runs the Ralph Loop on purpose , > with --dangerously-skip-permissions , and narrates the whole thing in the voice of an > '80s Junkion. Pre-production only. Never points at anything with users. This is v2. It keeps the strong core of the original spec (external reviewer, ratchet, guard hook, Junkion style) and adds the three phases the original left thin relative to the actual goal: PRD authoring, a design phase, and a real enterprise DoD including security, CI, docs/observability, and design quality (with quality plugins auto-installed). --- ## 0. The premise, in one paragraph The User builds documentation-first: spec → system docs → API contracts → CLAUDE.md → code. dare-to-be-stupid is the deliberate inverse, packaged as comedy that also solves two real engineering problems. It is a real build , not a joke ar

Set and ship autonomous goals

Loop/goalGitHubB

Run a persistent goal autonomously until completion, routing each task to the optimal model for cost and capability.

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→ Claude Code
/goal <objective · /loop <task | Set a persistent goal · run autonomously until complete (≤25 turns) |
automationlow risk