{"id":110953,"date":"2026-05-20T11:35:50","date_gmt":"2026-05-20T06:05:50","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=110953"},"modified":"2026-05-20T11:35:51","modified_gmt":"2026-05-20T06:05:51","slug":"generating-code-with-amazon-codewhisperer","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/generating-code-with-amazon-codewhisperer\/","title":{"rendered":"Generating Code with Amazon CodeWhisperer"},"content":{"rendered":"\n<p>Writing code is not easy, especially when you are just starting. You spend hours switching between your editor, Stack Overflow, and AWS documentation just to figure out how to do something as simple as uploading a file to S3. By the time you get back to your IDE, you have lost your train of thought and your momentum. This is a problem every developer faces, whether they are fresh out of college or have years of experience under their belt.<\/p>\n\n\n\n<p>Amazon saw this problem and built something to solve it. Amazon CodeWhisperer analyzes your comments, assembles code using relevant cloud services and public software libraries, and recommends code snippets and even entire functions directly in the IDE that meet best practices. Instead of breaking your focus to look something up, the answer comes to you right inside your code editor. You just write a comment describing what you want done, and CodeWhisperer suggests the code to do it.<\/p>\n\n\n\n<p>In this article, we will walk through what Amazon CodeWhisperer is, how it works, what makes it different from other tools, and how you can start using it to write better code faster. Whether you are just getting started with AWS or already building cloud applications, this guide will give you a clear picture of what this AI coding assistant can do for you.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>&nbsp;TL;DR&nbsp;<\/strong><\/h2>\n\n\n\n<ul>\n<li>Instant context-aware code: write a comment and get a complete, usable function (error handling and all).<\/li>\n\n\n\n<li>Saves research time: reduces switching between editor, docs, and web searches by bringing answers into your IDE.<\/li>\n\n\n\n<li>Security-first: scans both generated and developer-written code for common vulnerabilities and suggests fixes.<\/li>\n\n\n\n<li>Reference transparency: flags suggestions that match open-source code and provides repo\/file\/license details for attribution.<\/li>\n\n\n\n<li>Broad reach: strong for AWS workflows (Lambda, S3, SageMaker) with deep support for Python and Java, plus many other languages and IDEs.<\/li>\n\n\n\n<li>Low friction to try: free tier available, easy IDE plugin install, and quick onboarding with a Builder ID.<\/li>\n<\/ul>\n\n\n\n<div class=\"guvi-answer-card\" style=\"margin: 40px 0;\">\n\n  <div style=\"\n    position: relative;\n    background: linear-gradient(135deg, #f0fff4, #e6f7ee);\n    border: 1px solid #cfeedd;\n    padding: 26px 24px 22px 24px;\n    border-radius: 14px;\n    font-family: Arial, sans-serif;\n    box-shadow: 0 6px 16px rgba(0,0,0,0.05);\n  \">\n\n    <!-- Top accent -->\n    <div style=\"\n      position: absolute;\n      top: 0;\n      left: 0;\n      height: 6px;\n      width: 100%;\n      background: linear-gradient(to right, #099f4e, #6dd5a3);\n      border-radius: 14px 14px 0 0;\n    \"><\/div>\n\n    <!-- Title -->\n    <h3 style=\"\n      margin: 10px 0 12px 0;\n      color: #099f4e;\n      font-size: 20px;\n    \">\n      What Is Amazon CodeWhisperer?\n    <\/h3>\n\n    <!-- Content -->\n    <p style=\"\n      margin: 0;\n      color: #2f4f3f;\n      font-size: 16px;\n      line-height: 1.7;\n    \">\n      Amazon CodeWhisperer is an ML-powered coding companion from AWS that provides real-time code suggestions directly inside your IDE. Developers can write comments or begin typing code, and CodeWhisperer generates suggestions ranging from single lines to complete functions based on the project context, coding patterns, and AWS services being used.\n    <\/p>\n\n  <\/div>\n\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How CodeWhisperer Works<\/strong><\/h2>\n\n\n\n<p>Amazon CodeWhisperer is a general-purpose, machine-learning-powered code generator that provides code recommendations in real time.&nbsp;<\/p>\n\n\n\n<ol>\n<li>As you write code, CodeWhisperer automatically generates suggestions based on your existing code and comments. Your personalized recommendations can vary in size and scope, ranging from a single line comment to fully formed functions.<\/li>\n\n\n\n<li>The way it generates these suggestions is quite clever. CodeWhisperer continuously analyzes the code you have already written, the file you are in, your imports, your variable names, and critically, your comments.<\/li>\n\n\n\n<li>It builds an understanding of what you are trying to accomplish before generating any suggestions. This means the more clearly you write your comments, the better the suggestions you will receive in return.<\/li>\n\n\n\n<li>CodeWhisperer is powered by a large language model trained on billions of lines of code, including code owned by Amazon and open-source code.&nbsp;<\/li>\n\n\n\n<li>This training is what gives it such a broad understanding of programming patterns across many languages and frameworks. It is not guessing randomly. It is drawing on an enormous body of code to figure out the most appropriate suggestion for your specific situation.<\/li>\n\n\n\n<li>It is also worth knowing that on April 30, 2024, AWS folded <a href=\"https:\/\/www.guvi.in\/blog\/amazon-codewhisperer-explained-for-aws-developers\/\" target=\"_blank\" rel=\"noreferrer noopener\">CodeWhisperer i<\/a>nto Amazon Q Developer, which can be thought of as the evolution of CodeWhisperer into something much broader.\u00a0<\/li>\n\n\n\n<li>However, all the core features that made CodeWhisperer popular, including inline code suggestions, security scanning, and reference tracking, are still available. If you install Amazon Q Developer in your IDE today, you are getting everything CodeWhisperer offered, plus additional capabilities.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Supported Languages and IDEs&nbsp;<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Extensive Language Support Tailored for AWS Workloads<\/strong><\/h3>\n\n\n\n<p>Developers always start by checking if a tool aligns with their stack. CodeWhisperer excels here with broad, production-ready support across languages commonly used in AWS ecosystems. This ensures seamless integration whether you&#8217;re building serverless apps, data pipelines, or infrastructure as code.<\/p>\n\n\n\n<p>It delivers high-quality, context-aware code recommendations in these languages, with Python and Java optimized for top-tier AWS suggestion accuracy:<\/p>\n\n\n\n<ol>\n<li><strong>Java and Python<\/strong> \u2013 Best-in-class for <a href=\"https:\/\/www.guvi.in\/blog\/what-is-lambda-architecture\/\" target=\"_blank\" rel=\"noreferrer noopener\">Lambda <\/a>functions, EC2 scripting, and SageMaker ML workflows; handles complex boto3\/SDK patterns effortlessly.<\/li>\n\n\n\n<li><strong>JavaScript\/TypeScript and C#<\/strong> \u2013 Ideal for API Gateway, full-stack apps, and .NET on AWS; generates React\/Node.js or ASP.NET code blocks.<\/li>\n\n\n\n<li><strong>Go, Rust, Kotlin, PHP, Ruby<\/strong> power performant microservices, serverless runtimes, and web apps on ECS\/Fargate.<\/li>\n\n\n\n<li><strong>Systems languages: C++, C, Scala<\/strong> \u2013 For low-level optimizations, Spark jobs on EMR, or high-performance computing.<\/li>\n\n\n\n<li><strong>Scripting and IaC: Shell, SQL, JSON\/YAML (CloudFormation), HCL (Terraform), CDK (TypeScript\/Python).<\/strong> Automates DevOps tasks like deployments, queries, and multi-cloud infra.<\/li>\n<\/ol>\n\n\n\n<p>This coverage spans most daily AWS needs, reducing context-switching and accelerating prototyping.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Flexible IDE and Workflow Integrations Everywhere You Code<\/strong><\/h3>\n\n\n\n<p>CodeWhisperer (via Amazon Q Developer) goes beyond languages by embedding into your existing tools, offering inline suggestions, security scans, and conversational AI. This minimizes adoption friction, letting you stay in your flow across desktops, terminals, notebooks, or cloud consoles.<\/p>\n\n\n\n<p>Supported environments include:<\/p>\n\n\n\n<ol>\n<li><strong>Pro IDEs: JetBrains (PyCharm, IntelliJ), VS Code, Visual Studio, Eclipse<\/strong> \u2013 Real-time completions, refactoring hints, and vuln scans during active development.<\/li>\n\n\n\n<li><strong>Terminal power: AWS CLI<\/strong> \u2013 Autocompletes commands and generates scripts on-the-fly for rapid ops.<\/li>\n\n\n\n<li><strong>Notebooks: JupyterLab<\/strong> \u2013 Boosts data science with <a href=\"https:\/\/www.guvi.in\/blog\/introduction-to-machine-learning\/\">ML <\/a>code gen in SageMaker-compatible setups.<\/li>\n\n\n\n<li><strong>AWS-native: Lambda console, SageMaker Studio, Glue Studio<\/strong> \u2013 Inline AI right in the console for serverless, ML, and ETL tasks.<\/li>\n<\/ol>\n\n\n\n<p>No matter your setup, from local IDEs to cloud-first workflows, CodeWhisperer meets you there, enhancing productivity without disrupting habits.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Getting Started with CodeWhisperer in Python<\/strong><\/h2>\n\n\n\n<p>Python is one of the most popular languages for cloud development, data science, and AWS work, making it a great choice to start exploring CodeWhisperer. The setup is straightforward: open your Python file in VS Code or a JetBrains IDE, install the AWS Toolkit extension, and begin writing.<\/p>\n\n\n\n<p>Unlike traditional autocomplete tools that offer single-word completions like a dropdown of object properties or methods, CodeWhisperer delivers a major productivity boost by generating entire functions and logical code blocks. These include proper error handling, comments, and context-aware logic.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Powerful Features and Best Practices<\/strong><\/h3>\n\n\n\n<p>For instance, if you add a comment like &#8220;# Upload a file to S3 with server-side encryption,&#8221; CodeWhisperer instantly generates the full function with boto3 client setup, encryption parameters, and exception handling.<\/p>\n\n\n\n<p><strong>Key ways CodeWhisperer accelerates Python coding:<\/strong><\/p>\n\n\n\n<ul>\n<li>Handles routine or time-consuming tasks like reading\/writing files, image processing, and unit tests.<\/li>\n\n\n\n<li>Simplifies unfamiliar APIs or SDKs, especially AWS services.<\/li>\n\n\n\n<li>Ensures correct, effective use of AWS APIs for new cloud developers.<\/li>\n<\/ul>\n\n\n\n<p><strong>To get the best suggestions:<\/strong><\/p>\n\n\n\n<ul>\n<li>Use clear, descriptive function names and comments.<\/li>\n\n\n\n<li>Trigger manually with Option + C (MacOS) or Alt + C (Windows).<\/li>\n\n\n\n<li>Cycle through up to five recommendations with the arrow keys and accept with Tab.<\/li>\n<\/ul>\n\n\n\n<p>These features shine for developers tackling new codebases or cloud services, cutting down slowdowns significantly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How Security Scanning Works Step-by-Step<\/strong><\/h2>\n\n\n\n<p>CodeWhisperer sets itself apart with built-in security scanning, ensuring your code isn&#8217;t just functional but secure vital for cloud environments where AWS misconfigurations can leak sensitive data.<\/p>\n\n\n\n<p><strong>Step 1: Real-time Detection Across All Code.<\/strong> It continuously scans both AI-generated suggestions and your own code for issues like log injection, exposed secrets, and insecure AWS API\/SDK usage. Powered by a hybrid engine combining logistic regression and neural networks, it analyzes code paths and relationships to uncover hidden risks.<\/p>\n\n\n\n<p><strong>Step 2: Full-File Vulnerability Analysis.<\/strong> The scan reviews your entire file, not just suggestions. For instance, in <a href=\"https:\/\/www.guvi.in\/blog\/beginner-roadmap-for-python-basics-to-web-frameworks\/\">Python <\/a>on JetBrains, if you log unencrypted AWS credentials, a common bad practice, it flags it immediately with context-aware insights.<\/p>\n\n\n\n<p><strong>Step 3: Instant Alerts and Remediations.<\/strong> When it detects vulnerabilities (including OWASP Top 10 like injection or broken access control), CodeWhisperer provides inline warnings and fix suggestions, acting as a proactive safety net throughout development.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Key Benefits for Developers<\/strong><\/h3>\n\n\n\n<p>This makes CodeWhisperer uniquely comprehensive, the only AI tool that scans developer-written code, too. It&#8217;s invaluable for learning secure practices, remediating hard-to-spot issues, and streamlining secure coding without extra tools.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Reference Tracking and Open Source Responsibility<\/strong><\/h2>\n\n\n\n<ol>\n<li><strong>How Reference Tracking Works<\/strong><\/li>\n<\/ol>\n\n\n\n<p>When an <a href=\"https:\/\/www.guvi.in\/blog\/top-generative-ai-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI model<\/a> is trained on billions of lines of publicly available code, there is always a question of what happens when the suggestions it generates look similar to that open-source code. CodeWhisperer addresses this directly with its reference tracking feature.<\/p>\n\n\n\n<p>CodeWhisperer provides a reference tracker that continuously monitors suggested code for similarities with known open-source code. It detects matches and flags them, annotating suggestions with the open-source project&#8217;s repository URL, file reference, and license information. This lets developers review and add proper attributions easily.<\/p>\n\n\n\n<ol start=\"2\">\n<li><strong>Why It Matters for Developers<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Reference tracking empowers developers to make informed decisions about incorporating <a href=\"https:\/\/www.guvi.in\/blog\/category\/ai-ml\/\">AI <\/a>suggestions into their projects, ensuring transparency instead of guesswork.&nbsp;<\/p>\n\n\n\n<p>It&#8217;s especially crucial for commercial work, where using open-source code without attribution could lead to legal complications. CodeWhisperer puts the choice in your hands.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>How to Get Started<\/strong><\/h2>\n\n\n\n<p>Getting started with CodeWhisperer is straightforward, and you do not even need an AWS account to begin.&nbsp;<\/p>\n\n\n\n<ol>\n<li>The fastest way to start using CodeWhisperer is to authenticate with AWS Builder ID as an individual developer. You don&#8217;t need an AWS account to do this.<\/li>\n\n\n\n<li>Once you have your Builder ID, you install the AWS Toolkit extension for your chosen IDE. In VS Code, you search for AWS Toolkit in the extensions marketplace and install it.<\/li>\n\n\n\n<li>In JetBrains IDEs like IntelliJ IDEA or <a href=\"https:\/\/www.mygreatlearning.com\/blog\/pycharm-tutorial\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">PyCharm<\/a>, you follow the same process through their plugin screen. After enabling CodeWhisperer in the toolkit, you automatically start receiving code recommendations in your IDE as you start writing your code or comments.<\/li>\n\n\n\n<li>Amazon Q Developer, which includes all CodeWhisperer features, is available in two tiers: a Free tier with monthly limits that includes inline code suggestions in supported IDEs, reference tracking for open-source snippets, security scanning, and limited access to Amazon Q Developer agents.&nbsp;<\/li>\n\n\n\n<li>The Pro tier is a paid plan at $19 per user per month with higher usage limits and additional capabilities, including more powerful agents, enterprise management via IAM Identity Center, and stronger compliance controls. For someone just starting, the free tier is more than enough to explore the full value of the tool.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why CodeWhisperer Is Different for AWS Developers<\/strong><\/h2>\n\n\n\n<ul>\n<li>While there are several AI coding assistants available today, CodeWhisperer has one area where it clearly pulls ahead: AWS-specific development. CodeWhisperer is optimized for the most-used AWS APIs, for example, AWS Lambda or Amazon S3, making it the best coding companion for those building applications on AWS.<\/li>\n\n\n\n<li>The tuning performed using additional data on AWS <a href=\"https:\/\/www.guvi.in\/blog\/api-response-structure-best-practices\/\" target=\"_blank\" rel=\"noreferrer noopener\">APIs <\/a>means you can be confident it provides the highest quality, most accurate code generation for working with AWS. According to an AWS survey, CodeWhisperer is 27% more efficient in completing tasks successfully, resulting in 57% faster results.\u00a0<\/li>\n\n\n\n<li>These are real numbers from a productivity challenge conducted during the CodeWhisperer preview, where developers using the tool completed the same tasks significantly faster than those who did not. For anyone trying to build on AWS more efficiently, that kind of productivity gain is hard to ignore.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>A Few Things to Keep in Mind<\/strong><\/h2>\n\n\n\n<p>Like any AI tool, CodeWhisperer is not perfect. The suggestions it generates are a starting point, not a final answer. You should always read through what it proposes and test it before using it in production.&nbsp;<\/p>\n\n\n\n<ul>\n<li>Accepting suggestions without reviewing them is the most common mistake developers make when using <a href=\"https:\/\/www.guvi.in\/blog\/top-ai-tools-for-software-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI coding tools.<\/a><\/li>\n\n\n\n<li>Writing vague or overly short comments will also give you weaker suggestions. The more specific and descriptive your comment, the more accurate the generated code will be.&nbsp;<\/li>\n\n\n\n<li>Think of writing comments as having a conversation with a knowledgeable colleague. The more clearly you explain what you need, the better the outcome.<\/li>\n\n\n\n<li>Python, Java, JavaScript, TypeScript, and C# receive the strongest suggestion quality.&nbsp;<\/li>\n\n\n\n<li>These are the languages most commonly used for AWS application development and the ones with the most representation in CodeWhisperer&#8217;s training data. If you are working in one of those languages, your experience will be the smoothest.<\/li>\n<\/ul>\n\n\n\n<p><em>If you&#8217;re serious about mastering Amazon CodeWhisperer for AI-assisted code generation, secure coding suggestions, and integrating codex-style copilots into your CI\/CD and editor workflows, don&#8217;t miss the chance to enroll in HCL GUVI&#8217;s <\/em><strong><em>Intel &amp; IITM Pravartak Certified <\/em><\/strong><a href=\"https:\/\/www.guvi.in\/mlp\/artificial-intelligence-and-machine-learning?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=generating-code-amazonwhisper\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Artificial Intelligence &amp; Machine Learning Course<\/em><\/strong><\/a><em>, co-designed by Intel.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Wrapping Up<\/strong><\/h2>\n\n\n\n<p>Amazon CodeWhisperer takes a problem every developer knows well and offers a practical solution for it. Instead of constantly switching context to look things up, you stay in your IDE and get real-time suggestions that are aware of what you are building and how you are building it. The built-in security scanning, open-source reference tracking, and deep AWS API knowledge make it more than just a code autocomplete tool.<\/p>\n\n\n\n<p>For anyone entering the world of cloud development, starting with CodeWhisperer means you pick up AWS best practices from the moment you write your first function. You learn from the suggestions, catch your security mistakes early, and spend more time solving real problems instead of looking up boilerplate.&nbsp;<\/p>\n\n\n\n<p>Getting started is free, takes only a few minutes, and requires nothing more than an email address. That is a pretty low barrier for a tool that can meaningfully change how quickly and confidently you write code.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs<\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1778759473864\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">1. Is Amazon CodeWhisperer free to use?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. Amazon Q Developer, which includes CodeWhisperer features, offers a free tier with AI code suggestions, security scanning, and reference tracking for individual developers.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1778759486996\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">2. Which programming languages does CodeWhisperer support?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>CodeWhisperer supports multiple languages including Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, and more. Python and Java receive the strongest AWS-focused recommendations.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1778759527736\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">3. Can Amazon CodeWhisperer generate complete functions?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. CodeWhisperer can generate entire functions, boilerplate code, AWS SDK integrations, and error-handling logic based on your comments and existing code context.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1778759542453\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">4. Does CodeWhisperer help improve code security?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. It includes built-in security scanning that detects common vulnerabilities such as exposed credentials, insecure API usage, and OWASP-related issues, while also suggesting fixes.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Writing code is not easy, especially when you are just starting. You spend hours switching between your editor, Stack Overflow, and AWS documentation just to figure out how to do something as simple as uploading a file to S3. By the time you get back to your IDE, you have lost your train of thought [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":111630,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[933],"tags":[],"views":"38","authorinfo":{"name":"Vishalini Devarajan","url":"https:\/\/www.guvi.in\/blog\/author\/vishalini\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/05\/Amazon-CodeWhisperer-300x116.webp","jetpack_featured_media_url":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/05\/Amazon-CodeWhisperer.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/110953"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/63"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=110953"}],"version-history":[{"count":5,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/110953\/revisions"}],"predecessor-version":[{"id":111633,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/110953\/revisions\/111633"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/111630"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=110953"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=110953"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=110953"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}