Automated Testing Pipeline
AI-powered testing system that generates test cases, writes test code, runs test suites, and reports coverage gaps.
🎯 Buy once, deploy on any framework
Includes implementations for CrewAI. One purchase — all platforms.
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- ✓ All 1 platform implementations
- ✓ Full source code & documentation
- ✓ Commercial license included
- ✓ 30-day money-back guarantee
- ✓ Free updates for 1 year
- ✓ 30-day email support
Choose Your Platform
One purchase includes all 1 implementations. Deploy on whichever framework fits your stack.
CrewAI
CrewAI crew with 4 specialized agents and production-ready tools.
Included in CrewAI version
- ✓crew.py with 4 agents
- ✓Custom tools
- ✓Config templates
- ✓Deployment guide
⚡ Why OpenClaw?
One-click install, automatic orchestration, built-in cron scheduling, and memory integration. Other platforms require manual setup — OpenClaw gets you to production in minutes.
Code Preview — CrewAI
from crewai import Agent, Crew
planner = Agent(role='Test Planner', goal='Plan comprehensive coverage', tools=[code_analyzer])
writer = Agent(role='Test Writer', goal='Generate test code', tools=[test_generator, mock_builder])Agent Architecture
How the 4 agents work together
Your data, triggers, or requests
Test Planner
Test Strategy
Analyzes code and plans comprehensive test coverage.
Test Writer
Test Code Generation
Generates test code with mocks, fixtures, and assertions.
Test Runner
Sandboxed Execution
Executes tests in isolated environments.
Coverage Analyzer
Gap Analysis
Identifies untested paths and generates additional tests.
Structured results, reports, and actions
What's Included
Everything you get with this template
The Problem
Writing tests is the most skipped part of development. Most codebases have under 50% coverage.
The Solution
A 4-agent pipeline that analyzes code, generates real test code, runs tests in sandboxes, and fills coverage gaps.
Tools You'll Need
Everything required to build this 4-agent system — click any tool for details
Agent orchestration
LLM for test generation
Sandboxed code execution
Tracing agent decisions
Code analysis and fix generation
Performance monitoring
Implementation Guide
8 steps to build this system • 3-4 hours estimated
📋 Prerequisites
Configure code analysis
Set up AST parsing and dependency analysis for your codebase.
Build the test planning agent
Configure testing standards, coverage targets, and edge case detection.
Set up the generation engine
Configure with your framework's conventions and fixture styles.
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Code Preview
Sample agent setup — see platform-specific previews above
from crewai import Agent, Crew
planner = Agent(role='Test Planner', goal='Plan comprehensive coverage', tools=[code_analyzer])
writer = Agent(role='Test Writer', goal='Generate test code', tools=[test_generator, mock_builder])Example Input & Output
See what goes in and what comes out
{"file": "api/users.py", "functions": ["create_user", "update_user"], "framework": "pytest"}{"tests_generated": 24, "coverage_before": "34%", "coverage_after": "87%"}Requirements
Reviews
What builders are saying
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Frequently Asked Questions
Do I get all platform implementations?+
Yes — one purchase includes all platform implementations.
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