DEV.to
WordPress
Medium
Hashnode
Ghost
Drupal
GitHub
Stack Overflow
Endtest
BrowserStack
Sauce Labs
Ghost Inspector
Selenium
CrossBrowserTesting
TestMu AI (Formerly LambdaTest)
BugBug.io
Endtest is an agentic AI platform for end-to-end test automation that helps teams create, run, maintain, and scale automated tests faster, without writing code. It combines a low-code testing interface with AI agents that can generate editable tests, assist with maintenance, import tests from external files, and automate real-world workflows across web, mobile, API, database, email, SMS, file, visual, and accessibility testing.
Users can create tests manually, record them, import them, or generate them with the AI Test Creation Agent. Unlike generic AI tools that produce fragile code or black-box results, Endtest creates standard editable test steps that can be reviewed, modified, reused, and executed like any other Endtest test. This gives teams the speed of AI while preserving control, transparency, and maintainability.
Endtest is built for developers, QA teams, product managers, startup founders, and organizations that want reliable automated testing without maintaining a custom framework. It supports CI/CD integration, cross-browser testing, real devices and browsers, geolocation testing, API checks, database validation, file handling, email and SMS verification, detailed reports, and self-healing tests that reduce maintenance when application elements change.
With unlimited AI usage and unlimited test executions, Endtest helps teams adopt AI-powered testing at scale without tokens, credits, or usage-based limits. By combining agentic AI, low-code automation, broad testing coverage, cloud execution, and self-healing capabilities, Endtest helps teams ship more reliable software faster while keeping full control over the testing process.
DEV.to EndtestEndtest is recommended for QA teams who are transitioning from manual to automated testing, organizations that lack extensive coding expertise within their testing teams, and companies that need to automate tests across multiple platforms quickly and efficiently.
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Also TestNinja, which is the next-generation codeless test automation for web apps.
Works as expected.
Based on our record, DEV.to seems to be a lot more popular than Endtest. While we know about 663 links to DEV.to, we've tracked only 8 mentions of Endtest. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Def _pending_leaves(comment): if not comment["children"]: if comment["user"]["username"] != ME: yield comment return for child in comment["children"]: yield from _pending_leaves(child) Def _pending_entries(comment, drafted_codes): for leaf in _pending_leaves(comment): if leaf["id_code"] in drafted_codes: continue yield { ... - Source: dev.to / 34 minutes ago
In part 1 I made the pitch: real-time UI in one language, no JavaScript build. Now let's build something and ship it two ways from the same source. - Source: dev.to / 6 days ago
Def pending(): try: drafted_text = open(DRAFTS, encoding="utf-8").read() except FileNotFoundError: drafted_text = "" drafted_codes = set(re.findall(r"^## (\S+)", drafted_text, re.M)) out = [] for a in api(f"/articles?username={ME}&per_page=100"): if not a["comments_count"]: continue for c in api(f"/comments?a_id={a['id']}"): if not... - Source: dev.to / 10 days ago
To think that all of this happens under the hood when Iโm just trying to access YouTube to listen to my favorite music playlists to go through the day is insane! It all happens so quicklyโฆ to think that all eleven of these steps occur instantly when I was first entering a website like https://dev.to, for instance, is mind-blowing. - Source: dev.to / 11 days ago
And keep an exit. This is the argument I made about small models from a different angle: the same task that costs $14,000/month at frontier scale often costs approximately nothing on a 4B model running on your own hardware. Not for everything - for the long tail of focused, repetitive work that makes up most of what we actually automate. Knowing which of your workflows would survive a 10x price increase is cheap... - Source: dev.to / 15 days ago
At Endtest, we have been working toward results that show the failed step, the surrounding logs, screenshots, and the information needed to investigate what happened. AI-assisted failure analysis can help suggest a likely cause, but it should always point back to the evidence. - Source: dev.to / 7 days ago
At Endtest, we have always believed that tests should remain human-readable and editable, even when AI helps create them. Features such as the AI Test Creation Agent are useful because they compress the tedious part without turning the result into a black box. - Source: dev.to / 7 days ago
Whether you build your own stack or use a managed platform such as Endtest, the objective should be the same:. - Source: dev.to / 8 days ago
For example, the Endtest AI Test Creation Agent can help translate a natural-language instruction into test steps, while the resulting test remains visible and editable. AI Assertions can evaluate behavior that is difficult to capture with a rigid text comparison, but the broader workflow still needs to be understandable by the team. - Source: dev.to / 8 days ago
This is where modern automation platforms can save significant time. Whether you use a managed platform such as Endtest or your own Playwright or Selenium infrastructure, the run should produce an investigation package. - Source: dev.to / 8 days ago
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