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AutomationCodeless's answer:
I have been in enterprise software development for over 23 years, working across full stack development, cloud architecture, and DevOps in Java, Node.js, React, and AWS, with AWS certifications in Solutions Architecture and DevOps Engineering.
Across financial services, healthcare, and large enterprise systems, the same problem kept coming up. Testing across APIs, databases, and cloud services required too many tools, too much scripting knowledge, and too much maintenance. QA engineers, business analysts, and product owners who were not developers were completely stuck, because there was no tool that understood plain language, generated steps automatically, and executed exactly what you asked without writing code.
There was also no single place to call an API, validate the database result, check the AWS service, pass data to an AI model, and assert the output, all in one workflow with full visibility into every step. I built AutomationCodeless to solve exactly that.
AutomationCodeless's answer:
AutomationCodeless is built for teams that need to test across APIs, databases, and cloud services but do not want to maintain brittle scripts or juggle multiple tools.
That includes QA engineers who want faster, lower-maintenance automation, along with business analysts and product owners who are not developers and have historically been locked out of automation entirely. It also fits developers and DevOps teams who want a single workflow to validate an API, confirm the database result, and check a cloud service in one run.
In short, anyone who needs to automate and validate a business process or workflow, whether or not they can write code.
AutomationCodeless's answer:
One tool instead of five. Postman handles APIs, but you still need separate tools for databases, cloud services, and assertions. AutomationCodeless does REST APIs, databases, AWS, OpenAI, JavaScript, assertions, and variables in one place. No code required. QA engineers, business analysts, and product owners who are not developers can build and run real tests without scripting. AI step generation. Describe the test in plain English and the steps are built for you, so you go from idea to a passing test in minutes. Full visibility. Every step reports its status, duration, and result, so you can see exactly what ran, how long it took, and whether it passed, without adding manual logging. Credentials stay yours. Everything runs locally through a lightweight agent, so sensitive data never leaves your own infrastructure.
AutomationCodeless's answer:
AutomationCodeless is a no-code platform that connects REST APIs, databases, cloud services, JavaScript, and AI models in a single workflow, without writing a single line of code.
Most tools only cover one piece. AutomationCodeless lets you call an API, validate the database result, check an AWS service, pass data to an AI model, and assert the output, all in one flow with full visibility into every step.
The real differentiator is the AI assistant. You describe what you want to test in plain English and it generates the steps for you. You review them, click Run, and watch each step execute in real time. Everything runs locally through a lightweight agent, so your credentials never leave your infrastructure.
Based on our record, VS Code seems to be more popular. It has been mentiond 1215 times since March 2021. 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.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / about 1 month ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 2 months ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 2 months ago
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Postman - The Collaboration Platform for API Development
Vim - Highly configurable text editor built to enable efficient text editing
Kanban Tool - Simple and effective online application for visual project management.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.