Blog

Today we're announcing a new Momentic - a major platform update, a new brand, and a way for every developer to experience the future of testing for themselves.

Test maintenance burden dragging you down? Here’s how web automation with AI agents really works, how to use it, and what improvements you can expect.

Our primer on modern QA automation tools – why you need them, what to look for, and some suggestions to kick off your shortlist.

Sort solid AI functionality from hype with our guide to UI testing tools – understand how they work to choose the best option for your team

A step-by-step guide to debugging frontend failures, and how to use AI-driven testing tools to drive some major efficiency gains across the process

Struggling to achieve faster release cycles? Here’s how to revamp your mobile app testing strategy for faster releases, while maintaining quality

From Postgres pain to ClickHouse speed: how we re-architected caching to serve 2M+ cache queries and 20B entries per day, while maintaining ~250ms average resolution latency.

Regression testing for mobile apps can make a huge difference to long-term user retention. Use these best practices to make sure you’re doing it right.

Why agentic test automation is replacing traditional automated tests, and how it will change software testing dramatically – both now and in the future.

How AI-driven web application testing really works – why you need it, and how it differs from manual testing and traditional automation

Browser agents look at the DOM. Momentic understands what the user actually meant. Here's how we scaled intent-based caching to maintain a 95%+ cache hit rate and be significantly more reliable.

AI coding tools boost velocity but add debt. Learn why behavioral tests and truth-driven development keep quality high at Cursor speed.

Move from outsourced QA to engineering-owned tests with a practical migration plan for faster feedback, stronger coverage, and better releases.

This is the second part of our guide on agentic testing, covering how agentic testing works in practice and best practices for implementing inside your organization.

This is the first part of our guide on agentic testing, covering what agentic testing is, what it isn't, and why teams need to start understanding it now.

How browser testing has changed, and what you can do to revamp your browser testing strategy for faster release cycles and reliable results

What functional testing really looks like for modern teams, and what to consider when building a solid functional testing strategy

Your guide to actually doing responsive UI testing well – what techniques you should use, what to look out for, and how AI tools can make things easier

How to build a knockout AI agent testing POC that will persuade decision-makers and set you up for a successful wider implementation

Writing clear, specific test cases is the key to reliable results and improved software quality. Here’s everything you need to know to do it well

What you need to know about test suites in software testing: what they are, what you use them for, and tips on creation and maintenance for best results

What is BDD testing, and why are so many engineering teams adopting it right now? Your 101 guide to everything you need to know

Moving away from Rainforest QA? These Rainforest QA alternatives offer natural language test creation, fast feedback loops, and more for modern teams

Why a well designed enterprise testing strategy is vital for larger software teams, and how to build one that people will actually stick to

What is smoke testing, and when should you use it? Everything you need to know about smoke testing in software development with tips, best practices, and more

Automated test generation for test cases: everything you need to know about the techniques available and how to use them effectively.

Test case vs test script: what’s the difference, when should you use each one, and how can you optimize key workflows for maximum efficiency?

Your complete guide to white box testing in software development, what it is, when to use it, and how to optimize key processes for best results.

Test coverage vs code coverage, what’s the difference between these two metrics? All the info you need to deploy them both in the name of better software quality.

Stop outsourcing QA - tests are now your product’s executable spec for AI-generated code. Own testing to ship faster with verified quality.

The importance of test data management in getting useful results from your testing cycle, info on test data management activities, best practices, and more.

Your guide to the software testing pyramid and how to adapt it to the needs of modern development teams, tips on test balance, AI tools, and more.

What self-healing test automation is, how it works, and best practices for implementation, your complete guide to giving your engineers their hours back.

What you need to know about Python test automation, and some top Python testing frameworks that will make the process easier

A glossary of different types of software testing. Functional testing, performance testing, smoke testing, UI testing – you name it, it’s in here.

Your 101 guide to all shift-left software testing: what it is, why it’s important and how it will speed up your release cadence like nothing else.

Your 101 guide to all things parallel testing – what parallel testing is, what the benefits are, and which tools to consider to make it easier.

Our top Playwright E2E testing best practices for smoother, faster release cycles – and how more modern AI testing solutions perform in comparison.

How to migrate from Selenium to Playwright, with a step-by-step overview and how to overcome common challenges.

Selenium vs Playwright is a common question to ask when automating tests – here’s why it’s not the best one, and what to consider instead.

The benefits of implementing Playwright in CI/CD, a step-by-step setup guide, and a couple of time-saving, modern alternatives to consider.

Is your test automation maintenance causing bottlenecks as you scale? Here’s how smart QA teams remove the burden with AI tools.

AI code “slop” is here to stay. The fix is human judgment: define contracts, test first, verify instantly, and stop shipping unreviewed output.

Given the rise of AI tools, what is Selenium’s future? Will it maintain relevance, or fall by the wayside in its failure to keep up?

How end-to-end testing tools are breaking down time and resource constraints for complex end-to-end tests, with low-code editors, self healing tools, and more.

Playwright vs Selenium: what are the differences, and how does each tool stack up against modern, AI-native testing solutions?

What you need to know when deciding between Selenium vs Cypress for your team – info on features, deployment, language, community, and more

How to apply the Karpathy vibe coding framework to testing, and why it matters

Is web application testing causing slowdowns for your product team? Use these best practices to transform your browser-based QA.

Shipping AI features fast breeds complexity you can’t reason about. Define invariants and architecture first then tests can verify now.

Playwright vs Cypress: Which of these automated testing giants should you use – or should you opt for something else entirely?

An introduction to the Software Testing Life Cycle (STLC) and its key phases, including test design, environment setup and more

AI agents are set to be one of this year's most transformational QA testing technologies. Here's what to expect.

Automated vs manual testing - everything you need to know about process differences, pros and cons, costs, and more

AI-assisted code generation breaks the key assumption engineering workflows were built on.

The mobile testing best practices you need for watertight, insightful functional testing and how to implement them.

Everything you need to know about the Agile Testing Life Cycle (ATLC) in one quickfire guide, from the AI software testing experts at Momentic

Your 101 guide usability testing for mobile apps, and how smart use of agentic AI can secure you some quick wins in the process.

Will AI replace QA testers? Yes - it's already doing so. Here's why it's such a tempting option for organizations, and what the future holds

We compare regression testing tools across functionality, features, UX, price point and more to give you a top 6 for the year.

Your 101 guide to the mobile app testing process and how it differs from web app testing. Info on coverage, tools, AI, and more.

Our top recommendations for the best end to end testing tools for your team, from the most innovative to the most established.

How will trends in software testing develop as tech like AI and edge computing come to maturity and widespread adoption? Our top 5 takeaways for 2026

These test cases for mobile applications are vital for retaining users, reducing churn, and encouraging positive app store reviews.

Your native mobile app testing processes need to support a rapid release cadence – here’s how to simplify them to achieve this.

A 101 guide to codeless test automation – what it is, how to use it, and some tooling suggestions to kickstart your no-code testing shortlist

Find the top mobile testing frameworks and see how Momentic’s AI-native, no-code tests cut flakiness, maintenance and release cycles.

AI-generated code makes tests the source of truth. Learn how Testing 2.0 shifts software development from code-first to behavior-first.

Choosing a test automation framework for your project? We offer tips on what to look for and a few options to kickstart your shortlist

The pros and cons of emulators vs simulators in mobile testing, and how each option can help your team release faster and catch defects earlier.

Has your team experienced these challenges in mobile app testing? Here’s what to look out for and how to overcome key issues.

How software testing basics are evolving in 2026 and beyond, and what that means for you and your engineering team – tips on agentic AI, security, and more.

Everything you need to know about mobile testing best practices for 2026 and beyond – info on agentic testing, AI regulation, shifting left, and more.

Momentic raised a $15M Series A led by Standard Capital to build the definitive verification layer for modern software so teams can ship faster with confidence.

Our top Mabl alternatives for teams who are looking for scalability and flexibility over deployment – info on AI features, auto-healing approaches, and more .

The lowdown on browser testing tools for your web app development cycle. The latest info on low-code testing, self-healing tests, AI testing agents, and more.

New to self-healing test automation? Here’s your complete guide to how self-healing tests work, what the benefits are, and how to use them.

Need to test web and mobile? These cross-platform testing tools offer native functionality for both – self-healing tests, low-code features, and more.

How to find the best test automation tools for your software engineering project – info on requirements, the latest AI features, and more.

Bored of BrowserStack? Five BrowserStack alternatives to consider, and why now’s a good time to switch to faster, more agile software testing tools.

What are the best software testing tools you need to know about now? What about in five years time? Our picks for functionality, widespread usage, and more.

Looking for the best open source automation tools around? Here are our top picks for 2026 and beyond for functionality, usability, and more.

Claude Code can generate and debug full Playwright test suites, but are they maintainable? See how AI-written tests compare to Momentic’s adaptive testing.

Learn how Playwright locators like getByRole and getByText can eliminate flaky tests and make automation more reliable.

Traditional QA slows teams down. Learn why AI-driven testing lets developers own quality end-to-end, and why the strongest QA team is no QA team.

Tired of flaky tests and complex setup? These Playwright alternatives make web app testing easier, faster, and more accurate.

Claude Code speeds up test creation, but it can’t manage sessions, detect flaky tests, or analyze failures. Here’s why testing needs more than code generation.

Master Playwright Trace Viewer for flawless debugging. Learn time-travel debugging, trace setup, CI/CD integration & eliminate flaky tests.

Explore how QA lost its way; offshoring, silos, bad metrics, and missed AI skills—and what QA leaders must do to stay relevant in the AI era.

Discover why software engineers are now owning QA, the challenges ahead, and how AI testing agents are redefining software quality.

AI agents boost engineering discipline; small teams gain big-team rigor, and large orgs scale effortlessly. AI raises the bar for developers.

Outsourcing QA sounds efficient, but it erodes ownership and slows you down. Learn why real velocity means keeping quality close to your team.

Want to save time with low-code test automation tools? Here are our tips for finding one that really hits the spot.

These Cypress alternatives cut maintenance, and make it easier to scale your testing. Here’s what they offer and how to choose the right one.

Why now is the time to consider AI-powered Selenium alternatives for software testing automation.

Everything we launched during our first launch week.

See how Momentic brings AI-driven testing to iOS and Android apps with a unified mobile workflow.

Meet Failure Recovery, built to keep transient issues from failing otherwise healthy tests.

Meet Suggestions and the Momentic GitHub app for keeping tests current as your product changes.

Unblock your team ASAP when tests get flaky.

Introducing Copilot and local MCP server for AI-assisted test creation and debugging.

Why testing libraries can be a real pain to use.

Why AI-scale code generation demands a new approach to testing, reliability, and release confidence.

What happens when you use AI to save money and reinvest it into growth?

Fully automated functional testing should be a priority for your team - here's how AI-driven processes takes functional QA efficiency one step further

Why the traditional QA test plan isn't fit for purpose anymore, and what you should do instead to eliminate testing bottlenecks and maximize efficiency.

Arrange Act Assert is the ultimate unit testing pattern for getting the most out of your AI testing tool. Here's why it offers unparalleled simplicity and efficiency

Everything you need to know about automated UI testing and how you can use it to reduce time-to-market and make major efficiency gains

How TDD can help ensure quality in AI-generated code, addressing issues of correctness, bloat, and architectural cohesion

We compare Salesforce test automation tools across functionality, features, UX, price point and more - read our top 6 shortlist now

These quality assurance issues are holding you back. Here's how to solve them and transform QA's strategic role in your organization

Panic less, manage more. Why technical debt management should be high on your list of priorities. And why it's less scary than you think.

See how AI can revive behavior-driven development as a useful, living product specification.

Why QA should be worried about AI

What you need to know about the seven main types of regression testing and when to use them - plus a few tips on optimizing your regression testing processes

Momentic, a startup that is developing an AI-powered software testing platform, has raised $3.7 million in seed funding.

Why software testing will soon be a black box, and why that's a good thing for developers.

AI testing agents: what they are, how they work, and how to use them to transform your software testing processes

7 practical ways AI helps engineers move faster, focus better, and deliver more.

Are these end to end testing challenges hampering your team's progress? Here's how to tackle the biggest end to end testing obstacles effectively

Functional vs non functional software testing: everything you need to know  about what they are, how they differ, and how to run them efficiently in 2025

Avoid common Playwright pitfalls that damage test stability, maintainability, and trust.

Getting started with end to end testing? Here's everything you need to reap the benefits whilst avoiding the time/resources burden E2E testing can impose

A deep dive into how to intercept and mock API responses using Playwright and Next.js

Common reasons for why engineers think their code is infallible

What are some important metrics to track for test automation

Why modern engineering teams prefer shared quality ownership over a separate QA counterpart.

Why quality is the highest-leverage investment teams can make as products and teams scale.

Learn how to build maintainable QA through communication, culture, and shared quality ownership.

Learn why embracing AI is the only practical path to making end-to-end testing work as it should.

Humans are bad at QA, so lets stop using humans

Thoughts on how AI will impact the QA industry

I'm co-founding Momentic, an AI browser automation platform, to remove the opportunity cost of testing in the software industry! ??