One assumption that's also changed: small teams no longer need dedicated QA. Tools like Autonoma (open source, getautonoma.com) use AI agents to generate and run E2E tests in real browsers, and tests self-maintain as your app evolves. One of the things making the solo-founder path more viable.
i just realized that non-engineering roles for a company that has a product-led go to market are just a tax for getting things done. is literally easier to either (1) automate their work with an agent or (2) buy a saas to do it. without having to go through the burden of (1) hiring them, (2) motivating them, (3) explaining them what to do, (4) doing follow ups... i rather spend 2x in an agent and ensure things are getting done in time than spending that on an employee tbh.
we are onboarding startups to harden their web or mobile deployment with an agentic workflow that will automate the review and testing of all their user flows by actually using the app.
we are charging USD 500 / month, cancel any time and we will refund you if after 30 days a functional bug reaches production.
Id love to get feedback on this reading course im building. Understand what guide is missing, what is not useful, etc... to actually build a great course.
As a tldr, this is a series of 8 chapters where we dive from the most basic testing concepts and terminology up to a deep dive comparison on different coding automation frameworks with real code examples for users to follow. Wrapping up with how AI is changing this industry as a whole.
Chapter 1: Software Testing Basics
Chapter 2: The Language of Testing
Chapter 3: Test Planning and Organization
Chapter 4: Test Automation Frameworks Guide
Chapter 5: Page Object Model & Test Architecture
Chapter 6: How to Reduce Test Flakiness
Chapter 7: Test Automation with Python and JavaScript
Chapter 8: AI-Powered Software Testing with Autonoma
