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manera

v2.0.2

Published

AI-powered SDLC automation pipeline — implement, review, test, and fix code with Claude and Kimi agents

Downloads

282

Readme

Manera

AI-powered SDLC automation pipeline. Implement, review, test, and fix code using Claude and Kimi agents.

What it does

Manera processes tasks from a JSON backlog through a full software development lifecycle:

Todo → Implement → Review → Test → Done
          ↓ FAIL      ↓ FAIL
        Fix → retry  Fix → re-test

Each stage is handled by a specialized AI agent:

  • Implementer (Sonnet) — builds features from acceptance criteria
  • Reviewer (Opus) — code review for quality, security, conventions
  • Tester (Opus) — verifies acceptance criteria with unit, integration, and contract tests
  • Fixer (Opus) — fixes issues found during review or testing

Tasks retry automatically (up to 5 attempts) before being marked as blocked.

Quick Start

npx manera

This launches an interactive CLI that guides you through setup and pipeline execution.

Prerequisites

First Run

If no project.json exists in your current directory, Manera will walk you through creating one. This configures:

  • Project name and tech stack
  • Build and lint commands
  • Documentation paths
  • Testing configuration (optional dev server + browser tests)

Interactive CLI

  Manera  v2.0.0
  Project: My App  |  Backlog: tasks/backlog_tasks.json

  ? Main Menu
  > Run Pipeline
    View Status
    Reset Tasks
    Configure Models
    Pipeline Settings
    Switch Backlog
    Exit

Run Pipeline

  • Continue — process the next Todo tasks sequentially
  • Retry specific task — reset and re-run a single task
  • Start from specific task — skip ahead to a particular task
  • Doc-first phase — update project docs from an epic brief before coding

Configure Models

Override which model handles each agent role:

  • Implementer, Reviewer, Tester, Fixer, Doc Updater
  • Choose between claude-sonnet-4-5-20250929 and claude-opus-4-6
  • Settings persist to .sdlc-rc.json

Pipeline Settings

  • Toggle verbose output
  • Switch CLI provider (Claude / Kimi)
  • Set epic brief path for doc-first phase

Headless Mode

Run the pipeline without the interactive CLI:

npx tsx src/run-tasks.ts                           # Process from first Todo task
npx tsx src/run-tasks.ts --retry:TASK-001          # Reset and retry specific task
npx tsx src/run-tasks.ts --start-from:TASK-005     # Start from specific task
npx tsx src/run-tasks.ts --epic-brief:docs/epic.md # Run doc-first phase
npx tsx src/run-tasks.ts --cli-kimi                # Use Kimi for implementation

Project Configuration

All project-specific settings live in project.json:

{
  "project": {
    "name": "My App",
    "description": "A web application",
    "techStack": "Next.js, TypeScript, Tailwind CSS",
    "conventions": "Use functional components, prefer server components"
  },
  "commands": {
    "build": "npm run build",
    "lint": "npm run lint"
  },
  "docs": {
    "prd": "docs/prd.md",
    "solutionDesign": "docs/solution-design.md"
  }
}

Backlog Format

Tasks are defined in a JSON backlog file:

{
  "tasks": [
    {
      "id": "TASK-001",
      "name": "Add user login page",
      "status": "Todo",
      "description": "Create a login form with email and password fields",
      "acceptance_criteria": [
        { "criterion": "Login form renders with email and password fields", "met": false },
        { "criterion": "Form validates email format", "met": false }
      ]
    }
  ]
}

Testing Tiers

Task-Level (per task)

Unit → Integration → Contract

Story-Level (after all tasks in a story pass)

Regression → Smoke → Security → Performance → Accessibility → Exploratory → UAT

Browser-based tests (Smoke, Accessibility, Exploratory, UAT) use MCP Puppeteer when a dev server is configured.

License

MIT