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Agent QA

AgentQA is an AI-powered, chat-based software testing solution built on AWS. It enables teams to generate, execute, and analyze automated tests using natural language—no scripting or CI/CD required. Leveraging Amazon Bedrock for test generation and Playwright for execution, AgentQA runs in a secure, scalable, serverless environment. With real-time feedback, intelligent orchestration, and seamless integration into tools like Slack and GitHub, AgentQA simplifies QA automation for developers, testers, and product teams alike.

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About

Key Features

AI-powered, chat-based test automation platform on AWS

Create & run browser tests using natural language prompts (no scripts or CI/CD needed)

Uses Amazon Bedrock for test generation & summarization

Executes tests with Playwright via Modular Control Plane (MCP)

Real-time results delivered in Slack, web UI, or CLI

Secure, serverless architecture with Lambda, S3, DynamoDB, API Gateway

Elastic scalability with encrypted storage & audit logging

Supports both technical & non-technical users for accessible QA

Use Cases

Automate test flows with natural language prompts

Run browser-based tests on-demand or scheduled

Get AI-summarized test results in chat interfaces

Remove CI/CD bottlenecks and scripting overhead

Enable cross-functional teams to participate in QA

Ensure audit-ready test logs for regulated industries

Improve software reliability without DevOps complexity

Target Users

QA Engineers: Automate & scale browser testing without scripts

Frontend Developers: Validate UI directly from Slack/CLI

Product Managers: Trigger tests & review plain-language results

DevOps/Cloud Engineers: Manage configurations where needed

Security & Compliance Officers: Leverage audit logs, encryption & IAM-based access

Deployment Architecture

Serverless, event-driven model within centralized AWS account

Requests routed via API Gateway → Lambda → Bedrock

Bedrock generates test cases; Playwright executes inside MCP container

Results/logs stored in S3, metadata in DynamoDB

Second Lambda summarizes outcomes via Bedrock → returns results in real time

Security via IAM roles, KMS encryption, CloudTrail auditability

Scale with stateless Lambdas & parallel execution in ECS/Fargate

Benefits

Cut QA cycle time by up to 60%

Eliminate manual scripting & infrastructure setup

Faster feedback & improved collaboration across QA, DevOps, Product

Lower barrier to automation for non-technical users

Real-time AI summaries reduce debugging effort

Serverless scalability ensures performance under varying loads

AWS-native design simplifies governance & accelerates deployment

Value Proposition

Combines Generative AI + Serverless Automation + Natural Language QA

Removes traditional testing complexity (scripts, CI/CD, DevOps overhead)

Enables fast, intelligent, scalable testing for all teams

Supports real-time feedback, on-demand execution & AI-driven insights

Empowers product teams and enterprises with secure, auditable test workflows

Transforms QA into a strategic enabler of reliability & innovation

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