{"id":6172,"date":"2026-05-26T14:27:31","date_gmt":"2026-05-26T14:27:31","guid":{"rendered":"https:\/\/qyrus.com\/qapi\/?p=6172"},"modified":"2026-06-05T08:32:30","modified_gmt":"2026-06-05T08:32:30","slug":"mastering-api-testing-automation-techniques-every-developer-should-know-in-2026","status":"publish","type":"post","link":"https:\/\/qyrus.com\/qapi\/mastering-api-testing-automation-techniques-every-developer-should-know-in-2026\/","title":{"rendered":"Mastering API Testing Automation: Techniques Every Developer Should Know\u00a0in 2026\u00a0"},"content":{"rendered":"\t\t
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After many years,\u00a0AI has made it possible to develop\u00a0and deploy\u00a0application\u00a0in days.\u00a0<\/p>

With just a couple of tools, API development was streamlined; you can design, test,\u00a0and deploy if you have the right set of tools. A solo developer or a team could develop an\u00a0application and backend without breaking a sweat.\u00a0<\/p>

What started out as revolutionary has now created its own set of problems.\u00a0<\/p>

Only a fraction of people\u00a0are\u00a0able to deploy on time and\u00a0maintain\u00a0upkeep.\u00a0<\/p>

When we are creating and developing APIs much faster than we did, designing alone\u00a0isn\u2019t\u00a0enough. Instead, we are avoiding the work we must put in testing them, the visibility needed to see how APIs perform in actual traffic.\u00a0\u00a0<\/p>

API testing is non-negotiable\u00a0in 2026.\u00a0<\/p>

What is wrong with the way people are testing their APIs?\u00a0<\/h2>

If you\u00a0visit\u00a0Reddit or\u00a0StackOverflow,d\u00a0there\u2019s\u00a0a massive drop in the questions\u00a0we\u2019ve\u00a0asked around API testing and effective ways\u00a0to do it. For example,\u00a0here\u2019s\u00a0a user asking a basic question.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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I agree with people\u2019s thoughts presented\u00a0in such forums, because\u00a0there\u2019s\u00a0no clear cut or\u00a0right step-by-step approach to API testing.\u00a0<\/p>

How does one know\u00a0what\u2019s\u00a0the best tool or the best API testing method is? And how does one develop and replicate that practice?\u00a0<\/p>

So,\u00a0here\u2019s\u00a0this blog post to make it simple.\u00a0<\/p>

API testing\u00a0manual or automated?\u00a0<\/h2>

First things first, testing is\u00a0just\u00a0not about\u00a0doing\u00a0functionality\u00a0checks.\u00a0\u00a0<\/p>

The problem is\u00a0that we\u00a0don\u2019t\u00a0test in ways that\u00a0scale.\u00a0<\/p>

Either\u00a0the\u00a0teams are all in with manual testing practices,\u00a0running in circles\u00a0and\u00a0are already exhausted. Or they are spending time rechecking or\u00a0validating\u00a0what their automated testing tool missed.\u00a0<\/p>

The first\u00a0thing that we already talked about is flaky tests, which reduces\u00a0confidence in the entire CI\/CD process. These tests pass intermittently\u2014often succeeding on\u00a0reruns without changes\u2014due to race conditions, shared or unstable test data, inconsistent environments, or unreliable external dependencies.\u00a0\u00a0<\/p>

The result is clogged pipelines, delayed deployments, and a growing tendency for engineers to ignore legitimate failures.\u00a0<\/p>

The second bottleneck is excessive test maintenance. Teams often spend 40-60% of their QA time simply repairing broken tests. This occurs when tests are\u00a0basic: they rely on hardcoded data, make overly precise assertions, are tightly coupled to implementation details, or use expired fixtures.\u00a0\u00a0<\/p>

Even a\u00a0minor change in the application can thus trigger widespread test failures, slowing\u00a0down\u00a0release cycles and\u00a0accruing\u00a0significant technical debt.\u00a0<\/p>

A snowball effect, for all the wrong reasons.\u00a0<\/p>

The third issue is dangerous coverage gaps. While happy-path scenarios are usually well-tested, critical areas such as error handling, edge cases, security checks, and performance under load remain insufficiently covered.\u00a0\u00a0<\/p>

This happens because maintenance burdens crowd out the creation of new tests, and it is difficult to\u00a0safely simulate complex real-world conditions. Consequently, bugs and vulnerabilities\u00a0often go undetected\u00a0until they reach production.\u00a0<\/p>

We\u2019re\u00a0just hitting the major concerns while the list goes on and on.\u00a0<\/p>

As API testing is\u00a0\u00a0often\u00a0still\u00a0a semimanual\u00a0checkpoint near the end of a\u00a0release:\u2011\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\u2022\u00a0<\/b>Collections run locally or via Postman before deployment.\u00a0<\/p>

\u2022\u00a0<\/b>A single nightly run rather than\u00a0per commit\u00a0feedback.\u00a0\u00a0<\/p>

\u2022\u00a0<\/b>No hard quality gates on API suites.\u00a0<\/p>

Often led to the said problems and more\u00a0<\/p>

Little or no performance\/load testing\u00a0<\/h2>

While functional tests\u00a0answer,\u00a0\u201cdoes it work?\u201d\u00a0and performance tests answer,\u00a0\u201cwill it still work when it matters?\u201d Many teams never systematically test\u00a0and just pick one\u00a0in random:\u00a0<\/p>

\u2022\u00a0<\/b>Assume a\u00a0peak traffic simulation before a major sale.\u00a0<\/p>

\u2022\u00a0<\/b>You randomly pick a\u00a0long-running test to check for obvious memory leaks\u00a0and miss the rest.\u00a0<\/p>

\u2022\u00a0<\/b>A partial load test on a complex workflow, without realistic concurrency.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The result? You have results and you have a new set of problems.\u00a0<\/p>

And the worst part is, you\u00a0don\u2019t\u00a0know how to connect the dots, because data is cluttered.\u00a0<\/p>

How Microservices Multiply the Problem\u00a0<\/h2>

Microservices architecture multiplies testing complexity\u00a0because multiple teams\u202fstart building\u00a0services independently. This\u00a0leads to variation in coding standards, testing procedures, and tooling\u200b.\u00a0<\/p>

This further affects the environment configuration drift\u202fbetween dev, test, and production creating\u00a0hard-to-debug issues\u200b.\u00a0<\/p>

Next, performance testing becomes distributed\u202f\u2013 QA teams are now forced to verify individual service functions\u202fand\u202fsmooth inter-service communication\u200b.\u00a0<\/p>

Test interdependencies grow\u202f\u2013 one service’s failure leads to across integration tests.\u200b\u00a0<\/p>

This is why API performance issues are so hard to diagnose in microservices environments\u2014and why many teams delay addressing them altogether. In fact,\u00a043% of enterprises\u00a0report postponing API testing initiatives due to insufficient technical capability, not lack of intent.\u00a0<\/p>

Adoption Gaps: The Skills & Coverage Problem\u00a0<\/h2>

Despite criticality,\u202f91% of developers\u00a0and testers say API testing is critical,\u00a0yet\u202f\u00a050% lack the tools and processes to effectively automate it. The adoption landscape reveals:\u200b\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\r\n\r\n\r\n \r\n \r\n API Testing Challenges Table<\/title>\r\n <style>\r\n body {\r\n font-family: Arial, sans-serif;\r\n background-color: #f4f6f9;\r\n padding: 30px;\r\n }\r\n\r\n .table-container {\r\n overflow-x: auto;\r\n }\r\n\r\n table {\r\n width: 100%;\r\n border-collapse: collapse;\r\n background: #ffffff;\r\n box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);\r\n }\r\n\r\n th {\r\n background-color: #1f4e79;\r\n color: white;\r\n padding: 14px;\r\n text-align: left;\r\n font-size: 16px;\r\n }\r\n\r\n td {\r\n padding: 14px;\r\n border-bottom: 1px solid #ddd;\r\n vertical-align: top;\r\n font-size: 14px;\r\n line-height: 1.5;\r\n }\r\n\r\n tr:nth-child(even) {\r\n background-color: #f9f9f9;\r\n }\r\n\r\n tr:hover {\r\n background-color: #eef5ff;\r\n }\r\n\r\n h2 {\r\n color: #1f4e79;\r\n margin-bottom: 20px;\r\n }\r\n <\/style>\r\n<\/head>\r\n<body>\r\n\r\n <h2>API Testing Challenges and Industry Insights<\/h2>\r\n\r\n <div class=\"table-container\">\r\n <table>\r\n <thead>\r\n <tr>\r\n <th>The Problem<\/th>\r\n <th>What is happening<\/th>\r\n <th>Resulting Impact<\/th>\r\n <\/tr>\r\n <\/thead>\r\n <tbody>\r\n <tr>\r\n <td>API testing under-delivers in DevOps<\/td>\r\n <td>Auto-generated API tests often miss real failures and add noise<\/td>\r\n <td>In a healthcare IoT system, tools reached ~84% coverage, but over 70% of generated tests failed to detect real failures<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Research gaps in REST API testing<\/td>\r\n <td>Even research admits API testing is hard and incomplete<\/td>\r\n <td>Survey of REST API testing research highlights open problems like oracles, evolution handling, and realistic test data<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Design & specs affect testability<\/td>\r\n <td>Weak or inconsistent specs make APIs hard to test<\/td>\r\n <td>Teams struggle with consistent API design\/spec practices, impacting documentation quality and testability<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Versioning & backward compatibility<\/td>\r\n <td>Poor versioning and compatibility break clients and require better contract testing<\/td>\r\n <td>Real-world APIs show frequent compatibility problems for consumers<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Security risk & gaps<\/td>\r\n <td>APIs are key attack vectors and security testing is often incomplete<\/td>\r\n <td>Common vulnerability patterns persist due to insufficient prevention and testing<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Automation ROI (bugs & coverage)<\/td>\r\n <td>Well-designed automated testing reduces bugs and improves coverage<\/td>\r\n <td>Organizations with defined test strategies see ~25% fewer bugs and ~60% better coverage<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Automation adoption intent<\/td>\r\n <td>Teams know they need API automation and are planning to invest<\/td>\r\n <td>92% of surveyed respondents plan to implement API testing within a year<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>AI + API testing impact<\/td>\r\n <td>AI is being adopted in API testing to speed releases and reduce escapes<\/td>\r\n <td>Enterprises achieve up to 50% faster releases and ~40% fewer production escapes<\/td>\r\n <\/tr>\r\n\r\n <tr>\r\n <td>Business framing of quality & risk<\/td>\r\n <td>API quality is now a board-level concern tied to resilience and delivery<\/td>\r\n <td>Software reliability and CI\/CD are directly linked to digital resilience and business value<\/td>\r\n <\/tr>\r\n <\/tbody>\r\n <\/table>\r\n <\/div>\r\n\r\n<\/body>\r\n<\/html>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b177e44 e-flex e-con-boxed e-con e-parent\" data-id=\"b177e44\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-892b90d elementor-widget elementor-widget-text-editor\" data-id=\"892b90d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 aria-level=\"2\">How to simplify and\u00a0eliminate\u00a0these problems\u00a0<\/h2><p>My take. You need to reduce and simplify.\u00a0<\/p><p>After all, like me,\u00a0you\u2019ve\u00a0been on\u00a0the\u00a0internet and in some cases for a longer period than me. Add your years of reading, YouTube, podcasts, and even Reddit scrolls, and you would have consumed enough to know what\u00a0you\u2019ve\u00a0just been convinced enough that this is the way it\u00a0has to\u00a0be.\u00a0<\/p><p>So,\u00a0you\u2019d\u00a0want to start by reflecting on what is killing your teams.\u00a0<\/p><p>Time? Budget? Complexity? Context switching? And\u00a0you\u2019ve\u00a0seen\u00a0the end result\u00a0it has.\u00a0<\/p><p>You already have\u00a0somewhat a\u00a0clear idea of what needs to go, now you need to see what\u00a0a good replacement can be.\u00a0<\/p><p>You should start with a simplified API testing tool.\u00a0<\/p><h2 aria-level=\"2\">Read, apply, examine why it works or why it does not\u00a0<\/h2><p>You\u00a0don\u2019t\u00a0want to just\u00a0jump into a tool. You want to understand why\u00a0they\u2019re\u00a0good. Or why\u00a0they\u2019re\u00a0not good. You want to be able to explain your\u00a0choice\u00a0in specific details.\u00a0\u00a0<\/p><p>That\u2019s\u00a0why\u00a0we\u2019re\u00a0running a free trial for all the\u00a0new users\u00a0and enterprises.\u00a0\u00a0<\/p><p>There\u2019s\u00a0no way around it. You\u00a0have to\u00a0make a lot of\u00a0strategic\u00a0decisions (some good, some bad, but mostly\u00a0wise) before your\u00a0need\u00a0becomes\u00a0obsolete.\u00a0<\/p><p>Every time you do, every time you\u00a0analyze\u00a0your work,\u00a0you\u2019re\u00a0practicing and building a system that will help you and your team\u00a0immensely.\u00a0<\/p><p>Judgment only improves with volume. You want to\u202fdo\u00a0run 100 tests. Write 100\u00a0test cases.\u00a0Generate\u00a0100\u00a0reports.\u00a0Edit endpoints\u00a0100 times\u00a0on the dashboard.\u00a0\u00a0<\/p><p>And when AI does most of the legwork, running an extra 160 tests\u00a0doesn\u2019t\u00a0feel like a thing, and you feel like\u00a0you\u2019re\u00a0only getting started.\u00a0That\u2019s\u00a0what\u00a0qAPI does for you.\u00a0<\/p><h2 aria-level=\"2\">Final thoughts \u00a0<\/h2><p>Industry data shows that formal API contract testing adoption\u00a0remains\u00a0low. The reason is not awareness\u2014it\u2019s\u00a0friction.\u00a0Today\u00a0contract testing requires\u00a0additional\u00a0frameworks, cross-team coordination, and ongoing maintenance.\u00a0<\/p><p>In a world where everyone can create,\u00a0this creates an adoption barrier that rarely clears.\u00a0<\/p><p>qAPI\u00a0embeds contract validation directly into everyday API testing through schema\u00a0validation. This removes the need for parallel tooling and allows teams to detect breaking changes early, without increasing operational complexity or requiring specialized DevOps investment.\u00a0\u00a0<\/p><p>The companies that will win are the once that slow down, make the change and move on.\u00a0<\/p><p><b>Reduce\u00a0Noise\u00a0in\u00a0Engineering Pipelines<\/b>\u00a0<\/p><p>One of the most common complaints from engineering\u00a0teams\u00a0is that automated testing produces too\u00a0much acceptable content that we usually forget. Tests pass, fail, and rerun\u2014yet real production issues still escape.\u00a0<\/p><p>The root cause\u00a0that I see\u00a0is\u00a0a\u00a0small\u00a0testing focus. Many tools\u00a0validate\u00a0endpoints in isolation, missing failures that only appear across business workflows.\u00a0<\/p><p>qAPI\u00a0shifts testing from endpoint verification to\u00a0<b>end-to-end API\u00a0workflows<\/b>. It puts the work by\u00a0aligning test coverage with how systems\u00a0actually operate. This improves signal quality and allows engineering teams to trust test results as a basis for release decisions.\u00a0<\/p><p><b>Address the Test Maintenance Costs<\/b>\u00a0<\/p><p>At scale, test automation often becomes a cost\u00a0centre. Enterprises routinely spend\u00a0close\u00a0<b>60% or more of QA capacity<\/b>\u00a0maintaining\u00a0existing tests rather than improving quality.\u00a0<\/p><p>For\u00a0you and your team this means:\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07fa0a0 e-flex e-con-boxed e-con e-parent\" data-id=\"07fa0a0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24d9fa5 elementor-widget elementor-widget-image\" data-id=\"24d9fa5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"522\" src=\"https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-1024x522.png\" class=\"attachment-large size-large wp-image-6179\" alt=\"\" srcset=\"https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-1024x522.png 1024w, https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-300x153.png 300w, https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-768x392.png 768w, https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-1536x783.png 1536w, https:\/\/qyrus.com\/qapi\/wp-content\/uploads\/2026\/05\/image-7-Blog-2048x1044.png 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5d7e7fa e-flex e-con-boxed e-con e-parent\" data-id=\"5d7e7fa\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2808bc9 elementor-widget elementor-widget-text-editor\" data-id=\"2808bc9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>\u2022\u00a0<\/b>Slower release cycles\u00a0<\/p><p><b>\u2022\u00a0<\/b>Increasing QA headcount without proportional gains\u00a0<\/p><p><b>\u2022\u00a0<\/b>Growing frustration across engineering teams\u00a0<\/p><p>qAPI\u00a0reduces maintenance effort by\u00a0eliminating\u00a0script-heavy test design and relying on schemas and flows that naturally evolve with the system. This\u00a0doesn\u2019t\u00a0eliminate\u00a0maintenance\u2014but it meaningfully reduces it, allowing QA capacity to shift toward coverage, performance, and risk mitigation.\u00a0<\/p><p>The ROI comes from\u00a0smart allocation\u00a0of effort, not from\u00a0cost-cutting.\u00a0<\/p><p><b>Stabilize\u00a0your CI\/CD\u00a0as a Governance Mechanism<\/b>\u00a0<\/p><p>CI\/CD pipelines are often\u00a0framed\u00a0as productivity tools, but at the\u00a0top\u00a0level, they are\u00a0looked\u00a0as\u00a0governance mechanisms. When pipelines are unreliable, teams bypass controls, and quality\u00a0reduces drastically.\u00a0<\/p><p>qAPI\u00a0improves pipeline reliability by producing deterministic results tied to contracts and flows rather than fragile assertions. For leadership, this means pipelines regain their role as trusted quality gates, enabling faster decision-making without compromising standards.\u00a0<\/p><p>qAPI\u00a0provides\u00a0a\u00a0combined\u00a0view of API interactions across services, enabling teams to see dependencies, execution paths, and failure propagation. This visibility supports better architectural decisions and reduces\u00a0dependence\u00a0on\u00a0old\u00a0data.\u00a0<\/p><p>By\u00a0applying\u00a0intelligence in\u00a0adaptive\u00a0ways\u2014simplifying test creation, highlighting impactful changes, and improving failure analysis\u2014without\u00a0affecting\u00a0system\u00a0behavior\u00a0or removing human oversight,\u00a0qAPI\u00a0keeps\u00a0you in complete control and free of efforts.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>After many years,\u00a0AI has made it possible to develop\u00a0and deploy\u00a0application\u00a0in days.\u00a0 With just a couple of tools, API development was streamlined; you can design, test,\u00a0and deploy if you have the right set of tools. A solo developer or a team could develop an\u00a0application and backend without breaking a sweat.\u00a0 What started out as revolutionary has…<\/p>\n","protected":false},"author":9,"featured_media":6337,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[17,10],"tags":[],"class_list":["post-6172","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-resources"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Mastering API Testing Automation: Techniques Every Developer Should Know\u00a0in 2026\u00a0 - qAPI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/qyrus.com\/qapi\/mastering-api-testing-automation-techniques-every-developer-should-know-in-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mastering API Testing Automation: Techniques Every Developer Should Know\u00a0in 2026\u00a0 - qAPI\" \/>\n<meta property=\"og:description\" content=\"After many years,\u00a0AI has made it possible to develop\u00a0and deploy\u00a0application\u00a0in days.\u00a0 With just a couple of tools, API development was streamlined; you can design, test,\u00a0and deploy if you have the right set of tools. 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