---
type: entity
subtype: tool
title: "QA Tech"
description: "AI testing platform whose agents crawl your deployed site and generate/evolve regression test cases as the codebase grows (has a free tier)."
resource: "https://qa.tech"
tags: [testing, ai-agents, regression]
videos: [my-complete-agentic-coding-workflow-to-build-anything-no-fluff-or-overengineering]
created: 2026-07-21
updated: 2026-07-21
---

# QA Tech

QA Tech is an AI testing platform whose defining trait is that its tests grow with your code rather than rotting behind it. Cole introduces it as a tool with "AI testing agents that evolve. They adapt with your codebase" [0:36:03]. That evolving quality is the whole point: as an application accretes features, its regression coverage normally falls out of date, and QA Tech's agents are designed to keep pace.

## What it is

QA Tech's agents crawl a deployed site and generate end-to-end test cases against the real running application. What separates it from a static test suite is maintenance over time. Cole spells out the mechanism: "the AI testing agents in QA Tech are going to evolve these test cases over time to make sure it continues to cover everything in our codebase as we build more and more features" [0:37:56]. So the coverage is not a snapshot written once and abandoned but a living regression net that adapts as the product changes. It offers a free tier, which lets him fold it into projects without upfront cost.

## How Cole uses it

Cole places QA Tech at the outer edge of his agentic build workflow, as the layer that verifies the whole application keeps working as agents ship feature after feature. It complements the tighter, per-change validation done by tools like [Playwright](./playwright.md): where Playwright validates a single frontend change in the moment, QA Tech maintains the accumulating suite of end-to-end cases across the [AI Layer](../../concepts/the-ai-layer.md) of the app. It fits his emphasis on reducing risk when moving fast, and it pairs naturally with practices like [PRD-first development](../../concepts/prd-first-development.md) and [clarifying questions](../../concepts/clarifying-questions.md) that pin down what "working" actually means before agents build it.

## Realizes

- [Context Isolation](../../concepts/context-isolation.md) - giving each agent or subagent its own clean context window so unrelated tokens never dilute the task at hand.
- [Subagents Pattern](../../concepts/subagents-pattern.md) - delegating scoped tasks to isolated subagents to parallelize work and protect the main agent's context window.

## Works with

- [The AI Layer](../../concepts/the-ai-layer.md) - the layer of rules, commands, skills, and context you own on top of a codebase that makes AI coding effective and portable.
- [Playwright](./playwright.md) - Cole's deterministic multi-browser web automation tool, whose MCP server lets coding assistants visually validate frontend changes.

## Contrasts with

- [Browserbase](./browserbase.md) - browser-automation company Cole partnered with; its Stagehand framework and Director platform bring self-correcting web automation on top of Playwright.
- [CodeRabbit](./code-rabbit.md) - AI code review tool that automatically and thoroughly reviews every pull request, free for open-source repos, with security vulnerability detection.
- [Stagehand](./stagehand.md) - Browserbase's open-source browser-automation framework, exposed as an MCP server so a coding agent can navigate a deployed site and validate its own work.

## Related

- [PRD-First Development](../../concepts/prd-first-development.md) - starting every build from a written product requirements document that becomes the contract the agent implements against.
- [Reduce Assumptions](../../concepts/reduce-assumptions.md) - write explicit, unambiguous, non-contradictory prompts so the LLM has to guess as little as possible.
- [Clarifying Questions](../../concepts/clarifying-questions.md) - having the agent ask targeted questions up front to infer intent and reduce assumptions before it plans or builds.

## Sources

- [My COMPLETE Agentic Coding Workflow to Build Anything (No Fluff or Overengineering)](../../sources/my-complete-agentic-coding-workflow-to-build-anything-no-fluff-or-overengineering.md) - "[0:36:03] one of these applications is QA Tech. They have AI testing agents that evolve. They adapt with your codebase."
- [My COMPLETE Agentic Coding Workflow to Build Anything (No Fluff or Overengineering)](../../sources/my-complete-agentic-coding-workflow-to-build-anything-no-fluff-or-overengineering.md) - "[0:37:56] the AI testing agents in QA Tech are going to evolve these test cases over time to make sure it continues to cover everything in our codebase as we build more and more features."
