ai-devkit

Source#

• Repository: codeaholicguy/ai-devkit
• Last source update: 2026-05-24
• Last verified: 2026-05-24

Tags#

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: ai-devkit-repo-derived-worker
name: ai-devkit Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/ai-devkit/
source_repository: https://github.com/codeaholicguy/ai-devkit
repository_default_branch: main
repository_language: TypeScript
repository_license: NOASSERTION
repository_updated_at: 2026-05-24
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-05-24
tags:
  - agent-framework
  - agent-skills
  - ai
  - ai-agents
  - ai-coding
  - antigravity
---

# ai-devkit Repo-Derived Worker

## Repo-derived summary
- Registry summary: Make AI coding agents follow a repeatable engineering workflow with planning, memory, verification, skills, and review. One config. All agents. Same workflow.
- Repository description: Make AI coding agents follow a repeatable engineering workflow with planning, memory, verification, skills, and review. One config. All agents. Same workflow.
- Stars (snapshot): 1,208
- Primary language: TypeScript
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/codeaholicguy/ai-devkit
- https://github.com/codeaholicguy/ai-devkit/blob/main/README.md
- https://img.shields.io/npm/v/ai-devkit.svg
- https://img.shields.io/npm/dt/ai-devkit.svg
- https://img.shields.io/github/stars/Codeaholicguy/ai-devkit.svg?style=social

## Evidence notes (from repository text)
- README summary paragraph: **Your AI coding agent is fast, eager, and reckless. Make it work like a senior engineer instead.**
- **Your AI coding agent is fast, eager, and reckless. Make it work like a senior engineer instead.**
- AI DevKit turns one-off AI coding chats into a repeatable software delivery workflow: requirements, design, planning, implementation, tests, verification, memory, and review.
- - **Stops prompt-and-pray coding** — `/new-requirement` makes the agent clarify the problem before touching code
- - **Keeps project knowledge alive** — `@ai-devkit/memory` stores decisions, conventions, and fixes across sessions
- One config. All coding agents: Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, opencode, Antigravity, Amp, Windsurf, Kilo Code, Roo Code.

## Installation hints found in README
- `npm install && npm run build`

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: ai-devkit-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/ai-devkit/

Source URL: https://github.com/codeaholicguy/ai-devkit