The only open-source tool that unifies API test-automation, mocks, performance-testing and UI automation | https://xitter.cf/t.co/zbCi8kGQ8n

Joined February 2017
Turn your API Spec into a Test Suite. Instantly. For many teams, there is a painful gap between the API design (the spec) and the API tests (the reality). Bridging that gap usually means hours of manual scripting. With today’s release, Xplorer closes that gap.
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Karate retweeted
Your policy system never says "I don't know." It returns a premium. A plausible one. VeriQuant re-rates every case independently, to the cent, and shows the first step where the two calculations part ways. Bring us the rating case you worry about most. [email protected]
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Your policy system never says "I don't know." It returns a premium. A plausible one. VeriQuant re-rates every case independently, to the cent, and shows the first step where the two calculations part ways. Bring us the rating case you worry about most. [email protected]
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Karate v2.1.3 is out. This is a stability release, shaped by the community. Most of the fixes came straight from issues our users raised: - karate.call() in a loop returns fresh responses again - karate run with karate-pom.json no longer runs every feature twice - A feature-level @fail tag is inherited by every scenario, as it was in v1 - .xlsx and other Office files read cleanly - Browser file upload works again on both CDP and W3C - Error output shows the file name and line number everywhere - Mock server hardening: all request data is treated as untrusted On top of that: JS engine conformance work, Http.quiet() for tests that expect a 4xx or 5xx, better run events for listeners, and current netty, jackson and logback. Release notes: github.com/karatelabs/karate… Thank you to everyone who filed an issue or sent a pull request. Open source stays sharp because you keep pushing it. If Karate already runs in your pipelines, there is more on offer for enterprise teams: IDE tooling, Karate Agent for AI-driven test creation, and support built for regulated environments. This short video covers it: youtube.com/watch?v=NEcC6Pu0…
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When the same AI writes the code and the tests that check it, green is self-graded. Karate Agent draws a hard line: AI proposes, deterministic code decides. No model in the path. Runs inside your walls. Know what's safe to ship. Even when AI wrote it. Contact us for a demo karatelabs.io/contact-us?per…
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1/ Your coverage is green. Would your tests notice if the code broke? Different questions. The gap between them is where incidents live.
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6/ Echo assertions cannot inflate the number. The independent score counts only assertions with no detected dependence on the server's answer. A suite of echoes scores zero.
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7/ Scope, stated plainly: it grades assertion strength, not correctness. And as far as we can find, no shipped tool does this without the system's source. Start with the suite you already run and a base URL. How it works: karatelabs.io/api-mutation-t… Blog: karatelabs.io/blog/would-you…
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Every task ticked. Build green. Ready to ship? AWS Kiro is the most serious spec-driven development tool out there: requirements, design, and tasks written down before the code exists. But like every spec-driven tool, it records completion the only way it can. An agent ticks a checkbox in tasks.md. Nothing checks whether any test exercised the acceptance criteria that task named. We built the missing layer and put a live example on the public internet: 12 of 12 scenarios pass. 100% API operation coverage. Every task ticked. Release verdict: NOT READY. One criterion, APR tier boundaries, is marked done by task 5 and exercised by no test. Invisible to the dashboard. Invisible to the agent that wrote the code. Karate reads .kiro/specs in place, joins every acceptance criterion to real test runs, and computes a verdict a checkbox cannot influence. Install the Karate Power and Kiro asks for the verdict itself over MCP, then writes the missing check. Self-hosted. Bring your own LLM. The report is public and needs no install: karatelabs.io/kiro
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1. Keep Playwright. Take the deck. We just shipped test data where every row carries the computed expected result. Plain JSON/CSV. Your framework runs it. Zero Karate in the loop.
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6. Run the deck from Playwright, Postman, or REST-assured as data. Run it inside Karate and each row becomes evidence against the requirement it names: traceability matrix, coverage grade, release verdict. The deck is the on-ramp.
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Your UI tests break on every refactor. That era's ending. Intent, not selectors: * agent.do ('sign in as admin') * agent.verify('dashboard shows Welcome') DOM-first: 10–50× fewer tokens than screenshot agents. Self-hosted, BYO-LLM. karatelabs.io/ 👇
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