{"id":36883,"date":"2026-04-24T00:45:28","date_gmt":"2026-04-23T22:45:28","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/2026\/04\/24\/claude-code-github-copilot-cursor-comparison-2026-cloud-dev\/"},"modified":"2026-04-25T14:22:13","modified_gmt":"2026-04-25T12:22:13","slug":"claude-code-vs-github-copilot-workspaces-vs-cursor-2026-comparison-guide-cloud-dev-teams","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/24\/claude-code-vs-github-copilot-workspaces-vs-cursor-2026-comparison-guide-cloud-dev-teams\/","title":{"rendered":"Claude Code vs. GitHub Copilot Workspaces vs. Cursor 2026: The Comparison Guide for Cloud Dev Teams"},"content":{"rendered":"<p style=\"color:#6190a9;font-size:0.9em;margin:0 0 16px;padding:0;\">8 min reading time \u00b7 As of: 23.04.2026<\/p>\n<p><strong>Agentic coding environments are no longer a gimmick in 2026. Cloud engineering teams are building productive pipelines where a large portion of the code is generated with AI assistance. Three platforms dominate the discussion: Claude Code from Anthropic, GitHub Copilot Workspaces from Microsoft, and Cursor from Anysphere. Each emphasizes a different focus, each has its own pricing model, and each raises its own security concerns. The comparison guide sorts out which platform delivers the clearest ROI for which cloud\u2011workload profile in 2026.<\/strong><\/p>\n<h2>The most important points at a glance<\/h2>\n<ul>\n<li>Claude\u202fCode shines in terminal\u2011centric workflows involving complex multi\u2011file changes, especially during refactorings and in agent\u2011driven pipelines.<\/li>\n<li>GitHub\u202fCopilot\u202fWorkspaces is the choice for teams that operate within the GitHub ecosystem and want an integrated pull\u2011request flow with workspace sessions.<\/li>\n<li>Cursor is the most established IDE\u2011centric solution (Integrated Development Environment) and excels in frontend, web, and fully integrated editor workflows with high speed.<\/li>\n<li>The pricing logic differs structurally: Claude\u202fCode is usage\u2011based, Copilot\u202fWorkspaces is bundled with the GitHub plan, and Cursor follows a classic per\u2011seat pro model with tiers.<\/li>\n<li>The 2026 recommendation is rarely a single vendor; instead, it\u2019s a mix of two tools aligned with pipeline stages and persona requirements.<\/li>\n<\/ul>\n<h2>What makes the three platforms unique<\/h2>\n<p><strong>What is an agentic coding environment?<\/strong> Agentic coding environments are developer tools in which an AI model not only makes suggestions but also plans and executes tasks over multiple steps. They can read and write files, run tests, execute shell commands, and coordinate code changes across several modules. Unlike pure autocomplete tools, the agent takes on a role akin to a junior engineer given a clear briefing. Human responsibility remains, but the tooling becomes more embedded in processes.<\/p>\n<p>Anthropic has positioned Claude\u00a0Code\u00a02024 as a CLI\u2011first tool. It runs in the terminal, accepts long task descriptions, and carries them out through a series of tool calls. Cloud engineers typically use Claude\u00a0Code for refactorings across large codebases, for migrations between frameworks, and for agentic pipelines in which the model builds, runs, and tweaks tests. Its strength lies in the depth of the reasoning chain and in the precise handling of large contexts.<\/p>\n<p>GitHub Copilot has evolved from a pure autocomplete function to an integrated Workspaces concept. Workspaces open a dedicated workspace for a specific task, where the model reads issues, analyzes files, formulates a plan, and prepares pull requests. The integration with GitHub is deeper than that of competitors. Teams organized in GitHub get a smooth path from issue through implementation to review with Copilot Workspaces.<\/p>\n<p>Cursor positions itself as an AI\u2011first IDE, built on VS\u00a0Code as a foundation. Its strength is the interactive editor experience: fast code suggestions, context\u2011sensitive multi\u2011file edits, and its own chat mode that works directly in the editor. Cursor has seen strong adoption especially in frontend and web contexts and offers flexible model selection, from its own Anysphere models to external LLMs from the provider stack.<\/p>\n<div class=\"evm-stat evm-stat-row\" style=\"display:flex;gap:16px;margin:32px 0;flex-wrap:wrap;\">\n<div style=\"flex:1;min-width:200px;text-align:center;background:#004a59;border-radius:8px;padding:20px 12px;border-top:3px solid #0bb7fd;\">\n<div style=\"font-size:28px;font-weight:700;color:#fff;\">CLI-first<\/div>\n<div style=\"font-size:12px;color:rgba(255,255,255,0.8);margin-top:4px;\">Claude Code: terminal\u2011centric with tool use<\/div>\n<\/p><\/div>\n<div style=\"flex:1;min-width:200px;text-align:center;background:#004a59;border-radius:8px;padding:20px 12px;border-top:3px solid #0bb7fd;\">\n<div style=\"font-size:28px;font-weight:700;color:#fff;\">PR-flow<\/div>\n<div style=\"font-size:12px;color:rgba(255,255,255,0.8);margin-top:4px;\">Copilot Workspaces: issue\u2011to\u2011PR integration<\/div>\n<\/p><\/div>\n<div style=\"flex:1;min-width:200px;text-align:center;background:#004a59;border-radius:8px;padding:20px 12px;border-top:3px solid #0bb7fd;\">\n<div style=\"font-size:28px;font-weight:700;color:#fff;\">IDE-first<\/div>\n<div style=\"font-size:12px;color:rgba(255,255,255,0.8);margin-top:4px;\">Cursor: VS\u00a0Code\u2011based editor with chat<\/div>\n<\/p><\/div>\n<\/div>\n<h2>Three real workload profiles and the tool each needs<\/h2>\n<p>Instead of a generic recommendation, it pays to look at concrete workload profiles where cloud teams typically find themselves in 2026. Here are three examples.<\/p>\n<p>Profile\u202f1: A cloud\u2011platform team that runs migrations and refactorings across large micro\u2011service landscapes. Claude\u202fCode is the best fit here. The tasks are often multi\u2011step, require consistency across many files, and benefit from an agent\u2011driven loop with test cycles. Teams that adjust Terraform or Kubernetes manifests in several repositories in parallel see a noticeable speed boost with Claude\u202fCode. Engineers write less boilerplate while still retaining architectural responsibility.<\/p>\n<p>Profile\u202f2: A product\u2011engineering team with a GitHub\u2011centric workflow. Issues and pull requests form the backbone of daily work. GitHub\u202fCopilot\u202fWorkspaces shines in this setting. An issue can be turned directly into a workspace, the plan is documented in a traceable way, and the pull request is created with clear diffs. Code reviews remain human but gain from a structured suggestion. A well\u2011aligned GitHub team can save several hours per week per engineer.<\/p>\n<p>Profile\u202f3: A frontend and web team focused on rapid iterations, many small components, and tight coupling to design systems. Here Cursor is the top choice in most tests. The editor\u2011centric approach, fast multi\u2011file edits, and the interactive chat module accelerate UI\u2011code work. Combined with Storybook and a component library, a development flow emerges that stays productive without engineers suffering the context\u2011switch problem between editor and chat.<\/p>\n<h2>Comparison Table: What Really Matters in 2026<\/h2>\n<div class=\"evm-comparison-table\" style=\"margin:32px 0;overflow-x:auto;\">\n<table style=\"width:100%;border-collapse:collapse;font-size:14px;\">\n<thead>\n<tr style=\"background:#004a59;color:#fff;\">\n<th style=\"padding:12px;text-align:left;border:1px solid #ddd;\">Criterion<\/th>\n<th style=\"padding:12px;text-align:left;border:1px solid #ddd;\">Claude Code<\/th>\n<th style=\"padding:12px;text-align:left;border:1px solid #ddd;\">Copilot Workspaces<\/th>\n<th style=\"padding:12px;text-align:left;border:1px solid #ddd;\">Cursor<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding:10px;border:1px solid #ddd;font-weight:600;\">Primary Mode<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">CLI with tool use<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Web workspace with GitHub integration<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">VS Code\u2011based IDE<\/td>\n<\/tr>\n<tr style=\"background:#f8f9fa;\">\n<td style=\"padding:10px;border:1px solid #ddd;font-weight:600;\">Strengths<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Multi\u2011file refactoring, agentic pipelines<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Issue\u2011to\u2011PR workflow, GitHub integration<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Editor workflow, frontend iteration<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px;border:1px solid #ddd;font-weight:600;\">Pricing Logic<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Usage\u2011based, token consumption<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">GitHub plan bundle, from Business tier<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Per seat, multiple tiers<\/td>\n<\/tr>\n<tr style=\"background:#f8f9fa;\">\n<td style=\"padding:10px;border:1px solid #ddd;font-weight:600;\">Model Selection<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Claude models natively<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Multiple models, GitHub selection<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Multiple models, own plus external<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:10px;border:1px solid #ddd;font-weight:600;\">Data Protection<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Anthropic path, enterprise commitments<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">GitHub Enterprise contract regime<\/td>\n<td style=\"padding:10px;border:1px solid #ddd;\">Anysphere path, enterprise options<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>The table does not replace an independent assessment. However, it shows that the tools have structurally different mandates in 2026. Anyone who tests all three will see the differences quickly. Most teams settle on a combination of two tools, depending on persona and workload profile.<\/p>\n<h2>Which security questions truly belong on the table in 2026<\/h2>\n<p>Three security questions deserve special attention. The first concerns data sovereignty over code content. Anyone sending source code that contains sensitive algorithms or customer\u2011related material to a cloud LLM (large language model) must have a clear contractual understanding of what happens to that data. Anthropic, Microsoft and Anysphere have enterprise contracts with explicit no\u2011training clauses, but the standard\u2011plan model is not necessarily set up the same way. Before rollout, a contract review with the legal department needs to be put on the table.<\/p>\n<p>The second question concerns code execution. Agentic tools run shell commands and test scripts. Anyone working in a repository that contains scripts with production access should sandbox the execution. Container\u2011based sandboxes such as Devcontainer, GitHub Codespaces or similar solutions are virtually mandatory for such workflows. <a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/23\/aws-bedrock-anthropic-api-or-self-hosted-ai-inference\/\">Self\u2011Hosted AI inference<\/a> is an additional option when data sovereignty is especially sensitive.<\/p>\n<p>The third question concerns the audit trail. Boards, supervisory boards and insurers are increasingly asking in 2026 for proof of which code was written by humans and which by models. Platforms such as Copilot Workspaces document this provenance better than CLI tools. Organizations with compliance requirements should select tooling based on audit suitability, not just speed.<\/p>\n<div class=\"evm-pros-cons\" style=\"display:flex;gap:16px;margin:32px 0;flex-wrap:wrap;\">\n<div style=\"flex:1;min-width:260px;background:#f0f8ff;border-left:4px solid #0bb7fd;padding:20px 24px;border-radius:0 8px 8px 0;\">\n<h3 style=\"margin-top:0;font-size:1em;color:#004a59;\">When the tool mix clearly pays off<\/h3>\n<ul style=\"padding-left:20px;margin:0;color:#444;line-height:1.7;\">\n<li>Platform team plus product team with different workflow styles<\/li>\n<li>GitHub codebases with additional cross\u2011repo refactorings<\/li>\n<li>Frontend\u2011heavy areas alongside backend platform code<\/li>\n<li>Compliance requirements plus classic engineering speed<\/li>\n<\/ul><\/div>\n<div style=\"flex:1;min-width:260px;background:#fafafa;border-left:4px solid #888;padding:20px 24px;border-radius:0 8px 8px 0;\">\n<h3 style=\"margin-top:0;font-size:1em;color:#444;\">When a single tool is sufficient<\/h3>\n<ul style=\"padding-left:20px;margin:0;color:#444;line-height:1.7;\">\n<li>Small teams with a homogeneous tech\u2011stack choice<\/li>\n<li>Early adoption phase where too many tools cause confusion<\/li>\n<li>Limited budget for licenses and training<\/li>\n<li>Very tight integration into an existing platform ecosystem<\/li>\n<\/ul><\/div>\n<\/div>\n<h2>A 60-Day Pilot Path for Cloud Engineering Teams<\/h2>\n<p>A structured two-month pilot delivers reliable data and avoids gut\u2011feel decisions. The following structure has proven to be a useful framework in several DACH (Germany, Austria, Switzerland) platform teams.<\/p>\n<div class=\"evm-timeline\" style=\"margin:32px 0;\">\n<div style=\"display:flex;gap:16px;margin-bottom:16px;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Week 1<\/div>\n<div style=\"line-height:1.7;\">Persona and workload inventory. Which engineering styles exist in the team, which workload classes dominate, and which existing tools are entrenched?<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:16px;margin-bottom:16px;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Week 2<\/div>\n<div style=\"line-height:1.7;\">Contract and data\u2011protection review. Align enterprise pricing from the three providers with legal, clarify no\u2011training clauses and EU data residency.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:16px;margin-bottom:16px;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Weeks 3\u20114<\/div>\n<div style=\"line-height:1.7;\">Pilot Phase\u202f1. Three engineering pairs, each pair uses one tool for two weeks. Identical pilot tasks, clear reporting after each week.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:16px;margin-bottom:16px;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Weeks 5\u20116<\/div>\n<div style=\"line-height:1.7;\">Pilot Phase\u202f2. Switch the tools between the pairs, identical tasks or new tasks with a similar profile. Comparison with the first phase.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:16px;margin-bottom:16px;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Week 7<\/div>\n<div style=\"line-height:1.7;\">Data analysis. Task lead time, context\u2011switch frequency, bug rate in pull requests, subjective engineer rating. Quantitative plus qualitative.<\/div>\n<\/p><\/div>\n<div style=\"display:flex;gap:16px;margin-bottom:0;padding:16px;border-left:3px solid #0bb7fd;background:#f8f9fa;\">\n<div style=\"font-weight:700;color:#004a59;min-width:100px;\">Week 8<\/div>\n<div style=\"line-height:1.7;\">Decision and roll\u2011out planning. Define a tool mix or a single tool, training plan, budget approval, go\u2011live plan for the next 90 days.<\/div>\n<\/p><\/div>\n<\/div>\n<h2>What the Choice Says Strategically About the Team<\/h2>\n<p>In 2026, the tool selection is more than a licensing decision. It reveals something about the engineering culture. Teams that pick Claude Code often have a strong platform mindset and work from clear task briefings. Teams that opt for Copilot Workspaces are GitHub\u2011centric and love structured workflows. Teams that choose Cursor usually have a frontend or product focus and value interactive editor experiences.<\/p>\n<p>These profiles aren\u2019t rigid. A platform team can also use Cursor productively, and a frontend team can benefit from Claude Code. But as a heuristic for early selection, the profiles help time a decision. An engineering lead involved in the tool\u2011selection discussion can use this heuristic to set up the right pilot configuration.<\/p>\n<p>A second observation is strategically worthwhile. The vendor landscape in 2026 is still evolving. Anthropic, Microsoft and Anysphere each have their own platform strategies. In addition, smaller players such as Codeium or Tabnine serve specific niches. Anyone making a tool choice in 2026 should keep the contract flexible. 12\u2011month commitments with a termination clause are preferable to 36\u2011month all\u2011in contracts. The category is changing too quickly to lock in early.<\/p>\n<p>A final note to senior management. The debate around agentic coding environments is not primarily a cost issue. It\u2019s a productivity and talent issue. Engineers want to work with modern tools. Anyone without a clear 2026 plan for AI\u2011assisted development will lose in recruitment to competitors who take the topic more seriously. Investing in two or three pilot licence packages is a modest outlay compared with the HR impact on junior engineers. The effect on the employer brand is arguably larger than any individual pilot ROI.<\/p>\n<p>One more practical note: most engineering teams underestimate the onboarding effort that follows a tool selection. In day\u2011to\u2011day engineering it isn\u2019t enough to hand out licences and open a Slack channel. Teams that truly want to sustain productive impact build a small but well\u2011structured internal learning culture. Regular lunch\u2011and\u2011learn sessions, a curated internal prompt catalog for recurring tasks, and a dedicated tool\u2011champion model with two or three seasoned engineers who actively share their experience make the difference. Compared with the actual licence costs, this investment is modest, yet the effect on adoption and productivity in the first 90 days after rollout is measurable and significant. Teams that understand and systematically address this onboarding aspect extract far more productive hours from the same licence investment than teams that leave tooling onboarding to the personal whims of individual engineers.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<details>\n<summary><strong>Which tool is the cheapest in 2026 when looking solely at licensing costs?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Cursor Pro is priced at moderate per\u2011seat rates, GitHub Copilot Business is cheaper within the GitHub bundle compared with many services, and Claude Code is usage\u2011based and varies with consumption. A blanket answer isn\u2019t possible because workloads differ significantly.<\/p>\n<\/details>\n<details>\n<summary><strong>How does data protection work in the DACH region (Germany, Austria, Switzerland)?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">All three vendors offer enterprise contracts with clear no\u2011training clauses and data\u2011residency options. The specifics differ. Before production use, the current contract terms must be reviewed with the legal department-not the marketing material from the website.<\/p>\n<\/details>\n<details>\n<summary><strong>Is providing a tool to junior engineers sufficient?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Rarely. Junior engineers benefit most from a structured workflow and disciplined code review. Giving them a tool without defining the workflow risks slower learning and hard\u2011to\u2011maintain code.<\/p>\n<\/details>\n<details>\n<summary><strong>What impact do AI\u2011assisted coding tools have on code quality?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Studies from 2025 and 2026 present a mixed picture. For well\u2011defined tasks with good test coverage, speed increases without quality loss. For vague tasks, complexity can creep in without disciplined code review. Workflow and tooling are a combination, not a single issue.<\/p>\n<\/details>\n<details>\n<summary><strong>Which tools are suitable for self\u2011hosted inference?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Cursor and a few smaller vendors allow connection to your own inference endpoints. Claude Code and Copilot Workspaces are more tightly tied to the providers\u2019 infrastructure. Organizations that need self\u2011hosting should clarify this early and narrow the tool selection accordingly.<\/p>\n<\/details>\n<details>\n<summary><strong>How do you measure the ROI of an AI coding tool?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Pull\u2011request cycle time, number of tickets completed per sprint, production bug rate, and subjective engineer satisfaction. One metric isn\u2019t enough. Three metrics tracked over a quarter provide a solid basis for renewal or switch decisions.<\/p>\n<\/details>\n<div class=\"evm-styled-box\" style=\"background:#f0f8ff;padding:20px 24px;margin:24px 0;border-top:3px solid #0bb7fd;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;font-size:1.05em;\">Editorial reading tips<\/h2>\n<p style=\"margin:0 0 8px;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/23\/aws-bedrock-anthropic-api-or-self-hosted-ai-inference\/\">AWS Bedrock vs. Self-Hosted AI inference in the DACH region<\/a><\/p>\n<p style=\"margin:0 0 8px;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/23\/aws-savings-plans-vs-reserved-instances-2026-finops-german-midsize-companies\/\">AWS Savings Plans vs. Reserved Instances 2026<\/a><\/p>\n<p style=\"margin:0;\"><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/04\/04\/framework-laptop-16-review-the-modular-notebook-for\/\">Framework Laptop 16 review: The modular notebook for developers<\/a><\/p>\n<\/div>\n<div class=\"evm-styled-box\" style=\"background:#f8f9fa;padding:20px 24px;margin:24px 0;border-top:3px solid #354037;\">\n<h2 style=\"margin-top:0;margin-bottom:12px;font-size:1.05em;\">More from the MBF Media network<\/h2>\n<p style=\"margin:0 0 8px;\"><a href=\"https:\/\/mybusinessfuture.com\/merck-google-cloud-agentic-ai-mittelstand-pharma-chemie-2026\/\">MyBusinessFuture: Merck x Google Cloud Agentic\u2011AI Alliance<\/a><\/p>\n<p style=\"margin:0 0 8px;\"><a href=\"https:\/\/www.digital-chiefs.de\/meta-muse-spark-closed-source-cio-ki-architektur-vendor-diversitaet-2026\/\">Digital Chiefs: Meta Muse Spark closes the open\u2011source door<\/a><\/p>\n<p style=\"margin:0;\"><a href=\"https:\/\/www.securitytoday.de\/en\/2026\/04\/23\/squidex-ssrf-cve-2026-41172-headless-cms-supply-chain-april-2026\/\">SecurityToday: Squidex SSRF CVE-2026-41172<\/a><\/p>\n<\/div>\n<p style=\"text-align:right;font-style:italic;color:#888;font-size:0.85em;margin-top:24px;\">Source cover image: Pexels \/ Lukas Blazek (px:574069)<\/p>\n","protected":false},"excerpt":{"rendered":"Claude Code, GitHub Copilot Workspaces or Cursor 2026: Comparison for Cloud Dev Teams with workload profiles, security issues and 60\u2011day pilot path.","protected":false},"author":87,"featured_media":36606,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Claude Code vs. GitHub Copilot Workspaces vs. Cursor 2026: Workload profiles, security, comparison table and pilot path for Cloud Dev Teams.","_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":"","ngg_post_thumbnail":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","footnotes":""},"categories":[11],"tags":[],"industry":[],"class_list":["post-36883","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ratgeber"],"wpml_language":"en","wpml_translation_of":36607,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - 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