... Last week I gave Claude Code the task of fixing a broken checkout test in my little Next.js store project. Within 20 minutes, it came back telling me all tests

... developer. I build by directing AI agents, so tests are how I know something works. I can't check it by reading the code. For a while the green checkmarks were enough for me. They shouldn't have been. Now every bug fix comes with a test

... been testing a safety check for an AI app by running a script of test

... shipping an AI chatbot or agent and don t know where to start with security testing, I built five free tools in PromptBrake to help. Get prompt-injection inputs to try, map risks to test

... Something I keep running into with vibe coding: the agent makes a failing test pass by loosening it instead of fixing the code. One example: it replaced a strict deep equality check with expect.anything() on an error payload. The test

... That's enough to write the record myself and hand it to a fresh CWNetwork: func network(_ record: [String: Any]) -> CWNetwork { let network = CWNetwork() network.setValue(record as NSDictionary, forKey: "scanRecord") // private: probes and tests only return network } func rsn(_ akms: [Int], mfpRequired: Bool = false) -> [String: Any] { ["IE_KEY_RSN_VERSION": 1, "IE_KEY_RSN_MCIPHER": 4, "IE_KEY_RSN_UCIPHERS": [4], "IE_KEY_RSN_AUTHSELS": akms, "IE_KEY_RSN_CAPS": ["MFP_CAPABLE": 1, "MFP_REQUIRED": mfpRequired ... ... SCAN_RESULT_OWE_MULTI_SSID = 1 (the open half of a transition pair, judging by its name) comes back yes to .OWE too. So .oweTransition wasn't needed for anything. The fix is small; the lesson is in the tests

... maker of dotpals (a small open-source pal that shows what your AI coding agents did). Most people seem to use Jev for lead-gen and booking calls. I'm using it for something different: as a judge for test results. My coding agent says "All tests

... infinity loop of testing - fixing - testing

... situation: the system works, yet no one fully understands how it works. That makes me wonder whether some of the most useful techniques for vibe coding are actually techniques we already use for legacy systems. For example: Snapshot / approval tests: capture the current output and require explicit approval when it changes. Characterization tests

... Everyone says to test demand before you build. We didn t. We built the product first, like a lot of people do, and only afterward found a fast way to test

... Software testing is becoming harder as applications grow across web, mobile, APIs, and enterprise systems. Traditional testing

... launched CoWork, a mobile app testing solution, on PH a while back and got a lot of useful feedback. Some of the most interesting comments came from developers who wanted to test

... Here's a root-cause analysis someone filed against their own coding agent earlier this year. An end-to-end test timed out at 300 seconds, then at 420. The agent raised the limit to 480 and added a skip-on-timeout. Their summary: the test

... Product Hunt community! I'm Sol, a QA Engineer with almost 7 years of experience in test automation ( web & mobile testing

... When you're a first-time founder/maker, and you're the only person using your own product, you probably overlook important things. That's why you need to test the product with as many people as possible. The problem is that time is limited. You have to decide not only how many people will test

... differently, so a lot of our code is adapters. Adapters are exactly the kind of thing you hand to an agent and never look at again. Here's the problem. If the same session writes the adapter and the test for the adapter, the test

... building @WardenIQ , a free and open-source testing intelligence platform designed specifically for QA teams. Testing

... Building an AI agent is one challenge, but knowing it's ready for production is a completely different one. Traditional software can often be verified with unit tests and integration tests

... thing that doesn't get enough attention in proxy discussions is how to handle failures in automated CI/CD environments. We recently moved our data validation tests to run on every PR, and the proxy layer became our biggest flake factor. Here's what we figured out along the way: 1. Proxy failures break CI in unpredictable ways A test

... Basically all our code gets written by agents now, and so do the tests. Usually same session, same model. And I keep hitting the same loop: Agent builds the feature Agent writes the tests

... because test suite green, found out coding agent fixed failing test

... Hello! I'm 2 yr+ experience on Frontend Develop, a junior Frontend Developer. During the front-end development, you may have experienced the breaking of existing E2E test codes due to UI changes or minor markup modifications, and it takes time to maintain them. Starting with the concern of "Can't we solve the vulnerability of test

... This happened to us last week. Agent wrote the fix, tests went green, we merged. Prod error rate spiked 20 minutes later. Went back and found the agent had "fixed" the test

... spent years working on B2B customer acquisition for products moving from early traction to real scale. We tested every channel, built lightweight systems for volume outreach and partnerships, ran hundreds of experiments, and eventually created repeatable processes that a small team could run without constant firefighting. Distribution is the #1 bottleneck you ll hit. Features get copied. Messaging gets borrowed. What actually compounds is a clear system for identifying the right accounts, testing

... feature is implemented. Before anyone creates a maintainable automation suite, developers and testers spend time exploring the system. Sometimes manually. Sometimes using fuzzers, mutation tools, schema generators, protocol analyzers, API scanners, AI-assisted tools, or other forms of generated testing. The goal is not regression protection. The goal is discovery. Hundreds of tests