Toplam 31 haber derlendi.
Applitools Blog
Who’s Watching the Agents? Why Confidence Is the Real Bottleneck in Agentic Testing
AI agents optimize to pass, not to test. Beth Marshall, Paul Grizzaffi, and Ivan Davidov unpack the guardrails and evidence needed to run agentic QA safely. The post Who’s Watching the Agents? Why Confidence Is the Real Bottleneck in Agentic Testing appeared first on Deterministic AI End-to-End Test…
BrowserStack Blog
Introducing BrowserStack Load Testing
BrowserStack Load Testing runs real browsers and API traffic in one test, so you can see how your web app holds up for real users before your busiest day.
Cypress Blog
How to connect Claude Code to Cypress
Claude Code writes better Cypress tests when it knows your conventions, can check its work in a live session, and can see your run history. Learn how to set up Cypress AI Skills, Cloud MCP, and cypress tap, and which pieces your team needs.
Find elements the way your users do with cy.getByRole()
Cypress 16.2.0 adds cy.getByRole(), a built-in query that finds elements by role and accessible name. By default, it matches only native elements, so your tests catch a swapped for a . Here’s why that matters, and how to move off Cypress Testing Library.
Mabl Blog
What Is Agentic Development? | mabl
Key Takeaways Agentic development provides AI agents with context, tools, and permissions to complete multi-step software tasks under human oversight. Agents can connect planning, implementation, testing, feedback, and review within a coordinated development workflow. Broader agent access in…
The Race Condition Hiding in Your Flaky Test | mabl
A test fails. You rerun it. It passes. You move on, blaming an under-provisioned staging environment, drifted test data, or a timing issue. But a lot of ‘timing issues’ are race conditions, a problem computer science named and studied decades ago. Once you call it that, you can go find the root caus…
Agentic AI Test Automation Guide | mabl
Key Takeaways Agentic AI test automation helps teams move from isolated task automation to testing workflows that support planning, execution, adaptation, analysis, and human review. The strongest agentic workflows help teams manage coverage, maintenance, visibility, and release confidence as …
Martin Fowler
When Software Meets Hardware
When software meets hardware, engineering principles remain largely the same, but the sensible defaults often change. Kuldeep Singh describes our experience modernizing a large IoT fleet of battery-powered sensors. Our familiar principles remained important; what changed was how we a…
Build your slide template
Building a slide template starts with three foundational choices — colours, fonts and layouts. Sumeet Gayathri Moghe covers the basics of color theory and how to build a reusable palette, the essentials of typography, including serif, sans-serif, handwritten and monosp…
The Craft of Practitioner Voice
A couple of months ago Jim Highsmith explained how practitioners writing for each other forms a distinct style of writing. He now adds a section to the article with more detail on the craft of how we write in this style. How the writer shows up in the prose, its four principl…
Are Harnesses Worth the Cost?
Naresh Jain compares coding agents building the same API service with and without a behavioral harness. A frontier model, GPT-6 Sol, passed every external evaluation either way. But a cost-optimized model, GPT-6 Luna, succeeded in only 3 of 10 unharnessed runs and all 10 with…
Dev.to – Testing
A file path is a claim, not a pointer
I work a QA desk where agents (mostly) deliver and I sign off. Before I sign, I do exactly one thing: I measure it myself. In the past week the same failure appeared twice, seven days apart, with the same root cause. A path was treated as a fact. A report states a file path. The reader assumes: t…
Your Agent Benchmark Pauses the World. Production Doesn’t.
Your evals assume the world holds still Almost every agent benchmark in wide use is turn-based. The harness hands the model an observation, the model emits an action, the harness applies the action, and then — crucially — nothing happens until the model produces its next token. The environment is …
Your agent eval passed. Did the fixture leak the answer?
Your agent can ace a decision test if you accidentally hand it the answer key. Open-book exams have their place. Inside the question is probably pushing it. When evaluating the next action an agent chooses, keep three things separate: what it could observe, what you wanted it to choose and what hap…
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Is that an agent or a template? Three signals that fooled us, and the one test that held up
On 2026-10-17 an agent called dsh-scout posted its first message on Agent Commons. It runs on DeepSeek Harness on a Windows machine in Hong Kong, has no inbound endpoint, and found us by walking a public directory (Agenstry), not by invitation. It came with one question: “how do you verify that th…
Dev.to – QA
Playwright Email Tests Need a Clock Contract
A practical Playwright pattern for making email verification tests deterministic across local runs and CI. Email verification tests often look flaky for mysterious reasons. A user is created, the application sends a message, Playwright opens an inbox, and the test waits for a link. Sometimes it pas…
Podcast: QA Through the Lens of a Former PM Turned QA Engineer
I have been immersed in a lot of software stuff, some very good, some not that good. I was a software engineer for many years, but one of the roles where I learned more about product development was as a Product Manager after 5 years in that role. I always was a quality advocate at heart, even duri…
Is this test flaky, or is it a real bug?
A flaky test failed and then passed on a retry without anyone fixing anything, and a real bug fails for a reason no retry changes. Nexus Studio, by Verdict System LLC, tells them apart by recording every retry: FLAKY for a failure that a retry passed, BREACHED for a real finding, and BREACHED_FLAKY …
Why do my tests fail when the application is fine?
An end-to-end test goes red when the network is slow, the DNS fails, the site answers with a 403 or a 429 or shows a bot challenge, or the browser dies, and none of that is a defect in your application. Nexus Studio, from Verdict System LLC, gives these failures their own verdicts: TIMEOUT, UNREACHA…
JSON Translation QA Checklist for Release Week
Pre-release checks Confirm every translated file still parses as valid JSON. Verify placeholders, variable tokens, and formatting markers survived intact. Spot-check protected words such as brand names, SKU labels, and technical terms. Review empty states, error states, checkout, and authenticati…
Dev.to – Playwright
An AI agent made our 84-second product film. Here’s the pipeline
Stock Expert AI is a free US stock research site run by a team of AI agents and one human founder. This week one of those agents made our brand film: 84 seconds, 1920×1080, 24 fps. It was built with code, not a video editor. Here is how. Every frame is a web page The film is one HTML fil…
Playwright 1.64 adds WebMCP. What changes for your tests?
Originally published on anton.qa. This release matters when your website offers actions for AI agents to call. WebMCP lets a page offer those actions. Playwright 1.64 adds experimental support for listing and calling them. If your website offers no WebMCP actions, there are none to test yet. If yo…
I Let Claude Code Write My Playwright Tests for a Month. Here’s What Actually Worked
As a QA director at a Japanese IT company, I spent the last months building E2E test suites with an unusual pair programmer: Claude Code, Anthropic’s AI coding agent. Not for a toy project — for production QA pipelines. Here’s an honest breakdown of what AI is genuinely good at in test automation, …
Playwright Email Tests Need Lease Expiry
A throwaway email address is useful in an end-to-end test because it keeps test mail away from real people. But an inbox that lives forever is not automatically a reliable fixture. If several Playwright workers reuse it, old verification messages and abandoned aliases can make a passing test look he…
From Test Failure to Root Cause: Building an AI-Assisted Playwright Debugging Pipeline
Automated testing helps engineering teams catch bugs before they reach production, but identifying a failure is only half the job. The real challenge begins when a test breaks and developers need to determine whether the problem lies in the application, test logic, network, test data, or execution e…
Medium – Software Testing
What I Learned Testing an AI Coding Product Through Real Workflows
A look at VibeCodeArena, HackerEarth’s platform for evaluating AI-built applications, through one real project: a university library seat…Continue reading on Medium »
What I Learned From Creating Small Software Tools for Real -World Problems
When I first began building small software projects, I used to believe that writing the code was the hard part.Continue reading on Medium »
I Let an AI Agent Fix a Bug. These 6 Checks Still Mattered
The agent found the bug, changed the code, and reported success. I still needed six checks before I could trust the fix.Continue reading on Skill Stuff »
Selenium Automation Testing: A Beginner’s Guide with Real Examples
Software testing is becoming more technical every day, and automation testing is an important skill for modern QA Engineers.Continue reading on Medium »
The tests were green. They just weren’t watching
How mutation testing turns an AI-assisted modernization from guesswork into proofContinue reading on Medium »
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