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Ai Dev Loop

  • 104 installs
  • 31 repo stars
  • Updated August 2, 2026
  • shipshitdev/library

Run repeatable plan-implement-test-review cycles with AI agents until a feature slice meets acceptance criteria.

About

Defines a repeatable AI-assisted development loop—plan a vertical slice, implement with agents, run tests, review diffs, and iterate until criteria pass, minimizing context loss and half-finished changes across multi-step agent sessions.

  • Slice-based planning
  • Implement-verify iterations
  • Automated test gates
  • Diff review checkpoints
  • Context-preserving handoffs

Ai Dev Loop by the numbers

  • 104 all-time installs (skills.sh)
  • Ranked #788 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/shipshitdev/library --skill ai-dev-loop

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Listed on Skillselion
Installs104
repo stars31
Last updatedAugust 2, 2026
Repositoryshipshitdev/library

What it does

Run repeatable plan-implement-test-review cycles with AI agents until a feature slice meets acceptance criteria.

Files

SKILL.mdMarkdownGitHub ↗

AI Development Loop

Autonomous task execution with QA gates across multiple AI platforms.

Overview

The AI Development Loop enables fully autonomous feature development where:

  • AI agents pick up and implement tasks from a queue
  • You do QA only (approve or reject in Testing column)
  • Multiple platforms (Claude CLI, Cursor, Codex) can work in parallel
  • Rate limits are maximized by switching between platforms

Architecture

┌─────────────┐     ┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│   BACKLOG   │────▶│   TO DO     │────▶│  TESTING    │────▶│    DONE     │
│             │     │             │     │             │     │             │
│  PRDs ready │     │ Agent picks │     │ YOU review  │     │  Shipped    │
│             │     │ & builds    │     │ & approve   │     │             │
└─────────────┘     └─────────────┘     └─────────────┘     └─────────────┘
                          │                   │
                    ┌─────┴─────┐       ┌─────┴─────┐
                    │  Claude   │       │  Reject   │
                    │  Cursor   │       │  → To Do  │
                    │  Codex    │       └───────────┘
                    └───────────┘

Task Lifecycle

1. Task Creation

Tasks live in .agents/TASKS/[task-name].md with structured metadata:

## Task: [Feature Name]

**ID:** feature-name-slug
**Status:** Backlog | To Do | Testing | Done
**Priority:** High | Medium | Low
**PRD:** [Link](../PRDS/prd-file.md)

### Agent Metadata

**Claimed-By:** [platform-session-id]
**Claimed-At:** [timestamp]
**Completed-At:** [timestamp]

### Progress

**Agent-Notes:** [real-time updates]
**QA-Checklist:**

- [ ] Code compiles/lints
- [ ] Tests pass (CI)
- [ ] User acceptance
- [ ] Visual review

### Rejection History

**Rejection-Count:** 0
**Rejections:** [list of rejection notes]

2. Task Claiming

When an agent runs /loop:

1. Scans .agents/TASKS/ for Status: To Do 2. Sorts by priority (High > Medium > Low) 3. Skips tasks with active claims (< 30 min old) 4. Updates task with Claimed-By and Claimed-At

3. Implementation

Agent works on the task:

1. Reads task file and linked PRD 2. Checks .agents/SESSIONS/ for related past work 3. Implements the feature/fix 4. Updates Agent-Notes with progress 5. Creates branch and commits

4. Quality Check

Before moving to Testing:

1. Runs qa-reviewer skill 2. Updates QA-Checklist items 3. Ensures code compiles/lints

5. Completion

Agent finalizes:

1. Sets Status: Testing 2. Sets Completed-At timestamp 3. Adds final summary to Agent-Notes 4. Prompts for next action

6. QA Gate (Your Turn)

In Kaiban.md:

1. Review Testing column 2. Click task to see PRD preview 3. Check linked PR 4. Approve: Drag to Done 5. Reject: Click reject, add note → returns to To Do

7. Rejection Handling

When rejected:

1. Status returns to To Do 2. Rejection-Count increments 3. Rejection note added to history 4. Next /loop picks up with full context

Multi-Platform Strategy

Platform Strengths

PlatformBest For
Claude CLIComplex logic, backend, architecture
CursorUI components, styling, visual work
CodexBulk refactoring, migrations, docs

Parallel Execution

Multiple platforms can work simultaneously:

  • Each claims different tasks
  • Claims prevent conflicts (30-min lock)
  • Shared state via task files

Rate Limit Handling

When rate limited:

1. Agent saves progress to Agent-Notes 2. Releases claim (clears Claimed-By) 3. Suggests switching platform 4. User continues with different platform

Daily Workflow

Morning QA Session

1. Open Kaiban.md extension in VS Code 2. Review Testing column 3. Approve good work → Done 4. Reject with notes → To Do

Throughout Day

# Claude CLI
claude
> /loop   # Process task
> /loop   # Next task
# Rate limited? Switch to Cursor

Rate Limit Strategy

Claude limit? → Switch to Cursor
Cursor limit? → Switch to Codex
All limited? → QA time (review Testing)

Integration Points

Kaiban.md Extension

  • Visual Kanban board for .agents/TASKS/
  • Drag & drop status changes
  • PRD preview panel
  • Reject button with note input
  • Agent claim status badges

Existing Skills

  • qa-reviewer: 6-phase quality verification
  • session-documenter: Auto-document completed work
  • rules-capture: Learn from rejection feedback

Git Workflow

  • Branch per task: feature/[task-id]
  • Commits with clear messages
  • PR linked in task file

Not a Daemon

Important: /loop is NOT a background process.

  • Each invocation handles ONE task
  • Returns control to user
  • User decides to continue or stop
  • Respects "never run background processes" rule

Claim Expiration

Claims expire after 30 minutes:

  • Handles agent crashes
  • Handles rate limit interruptions
  • Previous Agent-Notes provide context for pickup
  • Enables multi-platform handoff

Best Practices

For Task Creation

  • Write clear, actionable task descriptions
  • Link to PRD for requirements
  • Set appropriate priority
  • Include testing criteria

For Agents

  • Read task and PRD thoroughly before starting
  • Update Agent-Notes regularly
  • Run qa-reviewer before completing
  • Create clean, focused commits

For QA (You)

  • Review PRD alongside implementation
  • Provide specific rejection feedback
  • Approve incrementally (don't batch)
  • Keep Testing column short

Related skills

Automation & Workflowsagentsautomationllm

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