有沒有想過為什麼我們要使用研磨機,而我們的祖先卻徒手進行所有研磨?增強的技術幫助我們超越了上一代,實現了日常工作的自動化,這使我們能夠更多地關註生活的其他方面,從而帶來更多的發現。與當今的工程師坐下來幾個小時試圖處理API 呼叫中傳遞的所有資訊不同,您希望提高工作效率並更專注於處理資料以將一些有用的程式碼融入現實生活中公用設施。
身為後端工程師,我理解沒有完全掌握API 端點伺服器如何運作的困難- 或者更準確地說,沒有完全理解(?)我們的API 端點伺服器如何運作的挫敗感。此外,了解 API 端點的最佳效能和測試執行時間環境一致成為工程師的首要任務。因此,我們測試 API 的方式最終決定了我們的速度、準確性以及我們在程式碼早期發現錯誤的能力。
當思考為什麼我們需要測試我們的 API 時,您的腦海中可能會出現許多問題!儘管測試驅動開發看起來很簡單,但它是開發人員可能經歷的最困難和最頑皮的生命週期之一。最終,我們測試路由和處理程序的方式決定了我們的資料管理生命週期的進行方式。這就是KushoAI出現的時候。
說實話,我在發現可以幫助簡化我的開發週期的人工智慧代理時偶然想到了KushoAI,我向你保證。 「測試我的工具時,後端工程師的生活從未如此簡單」。但 KushoAI 到底是什麼?這只是「那些被過度炒作的」人工智慧工具,只是存在嗎?它真的有用嗎?如果是,那麼如何?最重要的問題是:「是什麼讓 KushoAI 優於其他 AI 測試代理」。這就是為什麼我決定創建一個部落格來幫助您了解 KushoAI 的工作原理以及它提供的功能,這使得它與其他人不同! !
好吧,按照他們的文件中定義的書本定義:「KushoAI是一個用於API測試的AI代理,它為您的API產生詳盡的測試套件 在幾分鐘內– 您需要做的就是輸入您的API 資訊,然後坐下來,讓KushoAI 找出您的API 在生產中可能出現的實際場景,並為它們編寫準備執行的測試。
簡單地說,您決定如何將輸入提供給代理,並收到詳細且獨特的測試套件,它檢查您的 API 將如何運作。是這樣嗎?顯然不是,這就是為什麼我在這裡花時間寫關於這個工具的部落格。讓我們看看 KushoAI 為工程師提供的最獨特的功能。
因此,該平台提供的第一個也是最令人興奮的功能是為 API 選擇資料輸入以創建測試套件的多樣性。 KushoAI 的文檔指定:
「測試套件是
KushoAI 為您的 API 產生的測試集合。從高層次來看,這就是 KushoAI 上測試生成的工作原理:
主要方法來幫助您為測試產生提供 API 輸入:
在這
4種方法中,我最喜歡的方法一直是導入郵遞員收藏。不過,我想一一簡單描述一下所有方法:
This is by far one of the most utilized methods on the platform due to its simplicity and ease of understanding. All you need to know is how your API endpoint was designed, including the Endpoint URL, Headers, Path Params, Query Parameters, and the Request Body for your specific API request. Once you enter this information, all that's left to do is click "Generate," and BOOM!! In just a couple of minutes, your API tests are generated.
Now, a common question might be: what exactly are these parameters if you're unfamiliar with the terms? Don’t worry—KushoAI has got you covered. The platform provides clear explanations of what these parameters are, using dummy API examples for easy understanding. Additionally, KushoAI offers a feature to create Groups of API suites, similar to how Collections work in Postman.
Once in our life we all have used services like Swagger for our API. If you already have your API hosted on Swagger, it is probably the best idea to directly import your JSON into KushoAI, which then utilizes an internal parser to obtain all information about your API and all endpoints as listed in your JSON. In addition KushoAI also provides you an option to select only those endpoints which you want to test. What lies next is to review the Endpoint URL and you are good to go. Just click Generate and site back to relax while KushoAI does all the work for you. A visual representation of how this works is shown below :
One of my favorite features is the ability to import from Postman Collections, largely due to my extensive use of Postman. Previously, I would manually input the endpoint with the necessary methods and parameters. However, what I really wanted was to integrate these API calls directly into my tests, which is how I discovered KushoAI.
Here’s how simple it is:
KushoAI also provides you an option to import the curl commands and directly create tests for you. A simple example of real world applicable cRUL command for which tests were created is given below.
curl -v -X POST \ -F 'hostname=docker' \ -F 'modelid=5000000002' \ -F 'sitegroupid=1' \ -F 'siteid=772' \ -F 'sitename=Niwot Ridge Forest/LTER NWT1 (US-NR1)' \ -F 'pft[]=temperate.coniferous' \ -F 'start=2004/01/01' \ -F 'end=2004/12/31' \ -F 'input_met=5000000005' \ -F 'email=' \ -F 'notes=' \ 'http://pecan.localhost/pecan/04-runpecan.php'
KushoAI makes accessing and managing API information incredibly simple, providing insights into data such as filters, counts, and detailed API information. Once KushoAI has processed your API details, it typically takes no more than a couple of minutes to generate fully functional test suites for your API collection, ready for execution.
But what if you need to fine-tune the generated test cases to fit specific scenarios? No worries—KushoAI has you covered with an easy-to-use interface that allows you to modify request details and tailor the tests to your exact needs.
In addition to customization, KushoAI offers parallel computation and API calls, a feature that significantly reduces latency and boosts efficiency. This is one of the most impressive features KushoAI brings to the table, allowing you to test APIs faster and with greater precision.
However, when I say "one of the most impressive," I truly mean it, because KushoAI offers even more. You can automatically generate AI Assertions for each API request using Generative AI, which, in my opinion, is the standout feature of the platform. You can even integrate custom assertions, a feature that I haven’t seen work as quickly or effectively anywhere else.
Below are some examples of requests I processed using KushoAI, demonstrating how its services work. For this, I used a custom endpoint for the WeatherAPI to showcase KushoAI’s capabilities. The ability to easily integrate with your own custom assertions is a game-changer, offering unmatched flexibility and speed. Below are some assertions which were automatically generated using KushoAI's inbuilt Generative AI :
expect(response.response.location.name, "name should exist").to.exist; expect(response.response.location.name, "name should be a string").to.be.a('string'); expect(response.response.location.region, "region should exist").to.exist; expect(response.response.forecast.forecastday[0].hour[0].gust_kph, "gust_kph should be a number").to.be.a('number'); expect(response.response.forecast.forecastday[0].hour[0].uv, "uv should exist").to.exist; expect(response.response.forecast.forecastday[0].hour[0].uv, "uv should be a number").to.be.a('number'); expect(response.statusCode, "statusCode should exist").to.exist; expect(response.statusCode, "statusCode should be a number").to.be.a('number');
KushoAI offers a robust Workspaces feature that enables seamless collaboration among users, allowing teams to work together efficiently on API collections. This feature is especially useful for larger teams or projects where multiple individuals need to contribute to the same API testing suite, fostering real-time collaboration and making the development process smoother.
If you're familiar with GitHub, you'll find this functionality quite similar. Just as GitHub allows multiple developers to collaborate on code, KushoAI enables teams to work simultaneously on API collections, share test cases, and address the same issues without stepping on each other’s toes.
This Spectacular feature helps teams stay in sync, reducing bottlenecks and improving productivity. By centralizing the workspace and offering easy access to shared projects, KushoAI streamlines the API testing workflow, making it easier for users to track changes, provide feedback, and enhance the overall quality of their API services.
Whether you're working with a small team or managing a large project with many contributors, KushoAI ensures that collaboration is as efficient and frictionless as possible. With real-time updates and shared access to API collections, it takes teamwork in API testing to a whole new level. You can also manage your API Keys for further integrations and CI automation (which we will discuss a bit later) along with Environment Variables to store your secrets.
KushoAI's Workbench provides a more sophisticated and user-friendly interface than Postman's, allowing for greater flexibility and control during API testing. While Postman is well-known for its simplicity and ease of use, KushoAI goes above and beyond with capabilities such as custom test case generation, real-time modification of API requests, and parallel test execution, all of which greatly speed up the testing process. KushoAI's Workbench is built with Generative AI at its heart, allowing it to automatically develop extensive test cases across numerous scenarios—something Postman often restricts to simple checks like response status and time. Furthermore, KushoAI delivers extensive insights into the data coming via your APIs, allowing users to select and analyse results more accurately.
KushoAI offers seamless integration with your CI/CD pipelines, providing automated, real-time test generation and execution, without the need for any manual intervention. This integration ensures that every time a new commit is pushed or a change is made, KushoAI automatically runs tests to validate your API’s functionality, performance, and security.
Currently available as part of KushoAI’s Enterprise plan, this feature is designed for organizations that need continuous testing at scale. By incorporating KushoAI into your CI/CD workflow, you can ensure that every API update is thoroughly tested, reducing the likelihood of bugs and security vulnerabilities slipping into production.
KushoAI also supports GitHub Actions, making it easy to integrate API testing directly into your GitHub-based workflows. This allows your development and testing teams to catch issues early in the development process, improving overall efficiency and reducing the time spent on manual testing.
Automating your API testing as part of a CI/CD pipeline not only enhances testing performance but also significantly boosts security. Every change is automatically validated, meaning you can deploy confidently knowing your APIs have been tested at every stage of the development lifecycle. This eliminates potential security risks caused by human error, offering a reliable safeguard against bugs and vulnerabilities.
For more detailed information or to discuss how CI/CD integration can benefit your organization, the KushoAI team is available to provide consultation and support. Below is a visual representation of how the integration works within a typical pipeline:
Once your test suites are completed, KushoAI will notify you when the testing process is complete, allowing you to focus on other things without having to manually monitor the tests. This is especially valuable for teams with many priorities, since it guarantees that your time is used efficiently while KushoAI does the testing.
In addition to alerts, KushoAI offers a real-time view of your test suite's generation status. You can simply follow the progress of your tests via the generation status page on the home tab, which keeps you updated on every stage of the process. This real-time visibility is critical for ensuring that no tests are left unfinished, providing you assurance that all APIs have been completely tested.
Once testing is completed, KushoAI provides export choices for test suites and results. You may export these reports in 'HTML' format, which provides a concise and well-organised overview of your test findings. These reports not only capture current tests, but they may also be saved for future reference, making it easier to follow progress or regression issues over time.
This functionality is extremely useful for companies trying to continually enhance their API speed. Reviewing these extensive reports allows you to discover possible issues, make appropriate changes, and retain a historical record of how your APIs have changed. KushoAI's reporting tools guarantee you always have access to actionable insights.
Image showing how data is exported in html format for further utilization
Through the use of KushoAI's End-to-End (E2E) testing functionality, developers may replicate real-world processes by sequentially testing numerous API interactions to make sure they perform as intended. Engineers may use this functionality to cover complicated situations involving several endpoints, offering insights into the behaviour of your APIs in production environments. E2E testing offers many features, some of the most prominent features are:
API Selection for Testing: - Users can add new APIs or pick existing ones to the test suite. For example, selecting "Weather Forecast API for Gorakhpur" as displayed in the image demonstrates that several endpoints and functions may be coupled to replicate a real-world scenario.
Workflow Automation: - The "Run" and "Save Workflow" buttons enable users to develop, run, and store end-to-end tests for reuse. You may create processes that test APIs in the same order in which a real user would interact with them.
Collaboration and Customization: - The Workspace feature in the top-right corner helps teams cooperate on processes and maintain test environments efficiently.
User-Friendly Interface: The UI is intended to provide straightforward API administration, allowing users to quickly switch between adding new APIs and selecting pre-configured ones for testing. It also supports parallel API execution and real-time scenario validation.
Images demonstrating UX flow of KushoAI's E2E testing (BETA)
One might wonder, why choose KushoAI when Postman also offers generative tests? The answer is simple: KushoAI offers a far more comprehensive and intelligent testing experience. While Postman generates tests based on limited factors like response time and status codes, KushoAI generates tests across all possible testing scenarios, regardless of the specifics of your collection.
This is a game-changer. Postman often restricts the scope of its generated tests, relying heavily on predefined conditions. In contrast, KushoAI takes a more robust approach, ensuring that your API is tested under a broader array of conditions, including edge cases and performance bottlenecks that Postman might overlook.
To illustrate this, I ran simulations on my localhost backend server to check user data and responses similar to the earlier example using the Weather API. The results clearly show that KushoAI's generative testing framework not only provided more test cases but also delved deeper into potential failure points and error scenarios that Postman's approach missed entirely. KushoAI's ability to create comprehensive tests across all layers of functionality, from endpoint stability to data integrity, demonstrates its superior coverage and reliability.
Moreover, KushoAI's Generative AI is tailored to identify nuanced issues in your APIs, offering intelligent assertions and custom test cases that align with your specific needs—something Postman lacks. With KushoAI, you're not just testing based on surface-level metrics; you're validating the entire API lifecycle, from security vulnerabilities to real-world stress testing.
In short, KushoAI outperforms other generative testing solutions like Postman by ensuring that every aspect of your API is rigorously tested, offering deeper insights, greater flexibility, and more reliable results. The proof is in the tests generated via Postman and KushoAI which showcases how KushoAI’s advanced testing engine gives you a level of coverage that sets it apart from the competition.
While KushoAI decides to test scenarios comprising of data conditions, Postman decided to test scenarios with Error codes and Body Content.
Apart from being an automated testing tool, KushoAI is a robust and far more superior platform than others that simplifies the entire process of developing and testing APIs. It removes the tedious effort associated with API testing by employing cutting-edge AI technology, allowing developers to focus on what is actually important: creativity. From its seamless CI/CD integrations to collaborative workspaces and custom test generation, It also provides everything needed to enhance productivity, reduce errors, and accelerate delivery. Whether you’re a small team or a large enterprise, KushoAI’s features ensure that your APIs are tested thoroughly, securely, and efficiently. With KushoAI by your side, API testing becomes not just easier, but smarter.
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