분석된 URL
https://iamsunildev.in
측정: 2주 전
AI-Ready 점수
보통
/ 100
토큰 절감량
점수 상세
신흥 프로토콜
6개 중 0개 감지AI 에이전트가 찾는 well-known 엔드포인트. 감지되면 에이전트가 서비스를 자동으로 발견하고 연결할 수 있습니다.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
이 점수는 그대로 있지 않습니다. 모니터링은 아직 없습니다. 명단에 등록하면 출시할 때 알려드립니다.
명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.
측정 결과 No JSON-LD / Schema.org found
Schema.org 구조화 데이터를 찾을 수 없습니다. JSON-LD는 AI 에이전트가 페이지에서 사실 기반의 구조화 정보를 추출하는 데 도움을 줍니다.
구현 방법
Schema.org 마크업이 포함된 <script type="application/ld+json"> 블록을 추가하세요. 적절한 유형을 사용하세요: 블로그 게시물에는 Article, 제품 페이지에는 Product, 회사 페이지에는 Organization.
측정 결과 No Markdown for Agents support detected
사이트가 Markdown for Agents를 지원하지 않습니다. 이 Cloudflare 표준을 통해 AI 에이전트가 마크다운 형식으로 콘텐츠를 요청할 수 있으며, 토큰 사용량을 ~80% 줄일 수 있습니다.
구현 방법
다음 중 하나 이상을 구현하세요: (1) Accept: text/markdown에 마크다운 콘텐츠로 응답. (2) .md URL 제공 (예: /page.md). (3) <link rel="alternate" type="text/markdown"> 태그 추가. (4) 마크다운 발견을 위한 Link HTTP 헤더 추가.
측정 결과 0/3 OG tags present
Open Graph 태그가 없거나 불완전합니다. OG 태그는 AI 에이전트(및 소셜 플랫폼)가 페이지의 제목, 설명, 이미지를 이해하는 데 도움을 줍니다.
구현 방법
페이지의 <head>에 og:title, og:description, og:image 메타 태그를 추가하세요.
측정 결과 No sitemap found
사이트맵을 찾을 수 없습니다. 사이트맵은 AI 에이전트가 사이트의 모든 페이지를 발견하는 데 도움을 줍니다.
구현 방법
모든 공개 페이지를 나열하는 /sitemap.xml을 만드세요. 대부분의 CMS 플랫폼에서 자동 생성할 수 있습니다.
측정 결과 No canonical URL
정규 URL을 찾을 수 없습니다. AI 에이전트가 페이지의 선호 버전을 식별하고 중복 콘텐츠를 방지하는 데 도움을 줍니다.
구현 방법
페이지의 정규 URL을 가리키는 <link rel="canonical" href="..."> 태그를 추가하세요.
측정 결과 No llms.txt found
사이트에 llms.txt 파일이 없습니다. AI 에이전트가 사이트 구조를 이해하도록 돕는 새로운 표준입니다.
구현 방법
llmstxt.org 사양에 따라 /llms.txt 파일을 만드세요. 사이트 설명과 주요 페이지 링크를 포함하세요.
측정 결과 No Content-Signal found (robots.txt or HTTP headers)
Content-Signal 지시어가 발견되지 않았습니다. 이는 AI 에이전트에게 콘텐츠 사용 방법(검색 색인, AI 입력, 훈련 데이터)을 알려줍니다. 권장 위치는 robots.txt입니다.
구현 방법
robots.txt에 Content-Signal을 추가하세요: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. 마크다운 응답의 HTTP 헤더로도 추가할 수 있습니다.
측정 결과 10 semantic elements, 70 divs (ratio: 13%)
페이지가 <div> 요소에 크게 의존합니다. <section>, <nav>, <header>, <footer>, <aside> 같은 시맨틱 요소는 AI 에이전트에게 의미 있는 구조를 제공합니다.
구현 방법
범용 <div> 컨테이너를 적절한 시맨틱 요소로 교체하세요. 주제별 그룹에는 <section>, 내비게이션에는 <nav>, 페이지/섹션 헤더와 푸터에는 <header>/<footer>를 사용하세요.
👨💻 Hello, I'm Senior Software Engineer Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end. [Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode") Full-Stack Engineer 4+ Years of Experience 30% Cloud Cost Savings 50% Faster CI/CD Builds 1000+ LeetCode Problems Toolbox ## Skills ### Languages TypeScriptJavaScriptPythonSQL ### Frameworks ReactTanstack StartAngularExpress.jsNestJSReduxZustand ### Platforms AWSGoogle CloudCloudflareVercel ### Databases / ORMs PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize ### Tools DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm ### CS Fundamentals LinuxData StructuresAlgorithms1000+ LeetCode Problems Where I've Worked ## Experience Mar 2025 - Present - Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability. - Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel. - Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run. - Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity. - Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance. - Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%. Jun 2022 - Mar 2025 - Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery. - Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience. - Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow. - Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt. - Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions. - Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency. - Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement. Things I've Built ## Projects ### Cloud Transcoder A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions. PythonDockerS3EC2CloudWatchCloudFront [Code](https://github.com/iamsunildev/cloud-transcoder) ### Audio House A audio chat application made with React, Typescript, Stream.io ReactTypeScriptStream.ioNode.jsExpress.js [Code](https://github.com/iamsunildev/audio-house) ### Ping Point A real time chat application, with individual/group chats, profiles, sharing media files and more. ReactTypeScriptNode.jsPostgreSQLSocket.io [Code](https://github.com/iamsunildev/ping-point) Bragging Rights ## Achievements Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs. Graduated with distinction — ranked 1st in BSc Computer Technology (2022). Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines. Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth. Where I Studied ## Education Jun 2023 - May 2025 [### SRM University](https://www.srmist.edu.in/ "Visit SRM University") MCA (Computer Application) Tamil Nadu, India
Sunil J — Senior Software Engineer [Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf) 👨💻 Hello, I'm # Sunil J Senior Software Engineer Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end. [Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode") 👨💻Sunil JSenior Software Engineer  Full-Stack Engineer 4+ Years of Experience 30% Cloud Cost Savings 50% Faster CI/CD Builds 1000+ LeetCode Problems Toolbox## Skills ### Languages TypeScriptJavaScriptPythonSQL ### Frameworks ReactTanstack StartAngularExpress.jsNestJSReduxZustand ### Platforms AWSGoogle CloudCloudflareVercel ### Databases / ORMs PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize ### Tools DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm ### CS Fundamentals LinuxData StructuresAlgorithms1000+ LeetCode Problems Where I've Worked## Experience [### Whizlabs](https://www.whizlabs.com/ "Visit Whizlabs") Senior Software Engineer Mar 2025 - Present - Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability. - Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel. - Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run. - Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity. - Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance. - Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%. [### Iamneo.ai](https://iamneo.ai/ "Visit Iamneo.ai") Software Engineer Jun 2022 - Mar 2025 - Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery. - Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience. - Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow. - Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt. - Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions. - Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency. - Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement. Things I've Built## Projects ### Cloud Transcoder A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions. PythonDockerS3EC2CloudWatchCloudFront [Code](https://github.com/iamsunildev/cloud-transcoder) ### Audio House A audio chat application made with React, Typescript, Stream.io ReactTypeScriptStream.ioNode.jsExpress.js [Code](https://github.com/iamsunildev/audio-house) ### Ping Point A real time chat application, with individual/group chats, profiles, sharing media files and more. ReactTypeScriptNode.jsPostgreSQLSocket.io [Code](https://github.com/iamsunildev/ping-point) Bragging Rights## Achievements ### Algorithmic Depth Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs. ### Ranked 1st in UG Graduated with distinction — ranked 1st in BSc Computer Technology (2022). ### Whizlabs Recognition Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines. ### Iamneo Awards Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth. Where I Studied## Education Jun 2023 - May 2025 [### SRM University](https://www.srmist.edu.in/ "Visit SRM University") MCA (Computer Application) Tamil Nadu, India Jul 2019 - May 2022 [### VLB College of Arts and Science](https://www.vlbjcas.ac.in/ "Visit VLB College of Arts and Science") BSc (Computer Technology) Tamil Nadu, India
이 파일을 서버의 /index.md에 업로드하여 AI 에이전트가 페이지의 깔끔한 버전에 접근할 수 있게 하세요. Accept: text/markdown 콘텐츠 협상을 설정하여 자동으로 제공할 수도 있습니다.
이 단일 페이지용으로 생성된 llms.txt
# iamsunildev.in > Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP. ## Main - [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW… - [Sunil J.](https://iamsunildev.in/) - [Resume](https://iamsunildev.in/resume.pdf)
전체 llms.txt는 도메인 전체 분석이 필요합니다 (곧 출시)
이 파일을 도메인 루트의 https://iamsunildev.in/llms.txt에 업로드하세요. ChatGPT, Claude, Perplexity 등의 AI 에이전트가 이 파일을 확인하여 사이트 구조를 파악합니다.
접근성
Content available without JavaScript
Main content starts at 6% of HTML
Page size: 42KB
AI 발견 가능성
All major AI search bots allowed
No sitemap found
robots.txt exists
No llms.txt found
구조화 데이터
No JSON-LD / Schema.org found
0/3 OG tags present
Meta description: 127 chars
No canonical URL
lang="en"
시맨틱 HTML
Clean heading hierarchy
Has <main>
10 semantic elements, 70 divs (ratio: 13%)
No informative images (2 decorative)
Avg div depth: 2.0, max: 4
콘텐츠 효율성
93% token reduction (HTML→Markdown)
Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)
HTML size: 42KB
0/371 elements with inline styles (0.0%)
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"markdown": "👨💻 Hello, I'm\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox\n\n## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked\n\n## Experience\n\nMar 2025 - Present\n\n- Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n- Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n- Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.\n- Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.\n- Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.\n- Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.\n\nJun 2022 - Mar 2025\n\n- Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.\n- Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.\n- Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.\n- Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.\n- Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.\n- Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.\n- Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.\n\nThings I've Built\n\n## Projects\n\n### Cloud Transcoder\n\nA cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.\n\nPythonDockerS3EC2CloudWatchCloudFront\n\n[Code](https://github.com/iamsunildev/cloud-transcoder)\n\n### Audio House\n\nA audio chat application made with React, Typescript, Stream.io\n\nReactTypeScriptStream.ioNode.jsExpress.js\n\n[Code](https://github.com/iamsunildev/audio-house)\n\n### Ping Point\n\nA real time chat application, with individual/group chats, profiles, sharing media files and more.\n\nReactTypeScriptNode.jsPostgreSQLSocket.io\n\n[Code](https://github.com/iamsunildev/ping-point)\n\nBragging Rights\n\n## Achievements\n\nSolved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.\n\nGraduated with distinction — ranked 1st in BSc Computer Technology (2022).\n\nRecognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.\n\nAwarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.\n\nWhere I Studied\n\n## Education\n\nJun 2023 - May 2025\n\n[### SRM University](https://www.srmist.edu.in/ \"Visit SRM University\")\n\nMCA (Computer Application)\n\nTamil Nadu, India\n",
"fullPageMarkdown": "Sunil J — Senior Software Engineer\n\n[Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf)\n\n👨💻 Hello, I'm\n\n# Sunil J\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\n👨💻Sunil JSenior Software Engineer\n\n\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked## Experience\n\n[### Whizlabs](https://www.whizlabs.com/ \"Visit Whizlabs\")\n\nSenior Software Engineer\n\nMar 2025 - Present\n\n- Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n- Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n- Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.\n- Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.\n- Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.\n- Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.\n\n[### Iamneo.ai](https://iamneo.ai/ \"Visit Iamneo.ai\")\n\nSoftware Engineer\n\nJun 2022 - Mar 2025\n\n- Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.\n- Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.\n- Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.\n- Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.\n- Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.\n- Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.\n- Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.\n\nThings I've Built## Projects\n\n### Cloud Transcoder\n\nA cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.\n\nPythonDockerS3EC2CloudWatchCloudFront\n\n[Code](https://github.com/iamsunildev/cloud-transcoder)\n\n### Audio House\n\nA audio chat application made with React, Typescript, Stream.io\n\nReactTypeScriptStream.ioNode.jsExpress.js\n\n[Code](https://github.com/iamsunildev/audio-house)\n\n### Ping Point\n\nA real time chat application, with individual/group chats, profiles, sharing media files and more.\n\nReactTypeScriptNode.jsPostgreSQLSocket.io\n\n[Code](https://github.com/iamsunildev/ping-point)\n\nBragging Rights## Achievements\n\n### Algorithmic Depth\n\nSolved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.\n\n### Ranked 1st in UG\n\nGraduated with distinction — ranked 1st in BSc Computer Technology (2022).\n\n### Whizlabs Recognition\n\nRecognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.\n\n### Iamneo Awards\n\nAwarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.\n\nWhere I Studied## Education\n\nJun 2023 - May 2025\n\n[### SRM University](https://www.srmist.edu.in/ \"Visit SRM University\")\n\nMCA (Computer Application)\n\nTamil Nadu, India\n\nJul 2019 - May 2022\n\n[### VLB College of Arts and Science](https://www.vlbjcas.ac.in/ \"Visit VLB College of Arts and Science\")\n\nBSc (Computer Technology)\n\nTamil Nadu, India\n",
"markdownStats": {
"images": 0,
"links": 8,
"tables": 0,
"codeBlocks": 0,
"headings": 15
},
"tokens": {
"htmlTokens": 14712,
"markdownTokens": 1082,
"reduction": 13630,
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},
"score": {
"score": 69,
"grade": "C",
"rubricVersion": 3,
"dimensions": {
"accessibility": {
"score": 100,
"weight": 30,
"grade": "A",
"checks": {
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"weight": 55,
"evidence": "proven",
"details": "Content available without JavaScript"
},
"fast_content_position": {
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"weight": 25,
"evidence": "plausible",
"details": "Main content starts at 6% of HTML"
},
"reasonable_page_size": {
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"evidence": "plausible",
"details": "Page size: 42KB"
}
}
},
"aiDiscoverability": {
"score": 45,
"weight": 25,
"grade": "D",
"checks": {
"robots_allows_ai_bots": {
"score": 100,
"weight": 35,
"evidence": "proven",
"details": "All major AI search bots allowed"
},
"supports_markdown_negotiation": {
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"weight": 20,
"evidence": "plausible",
"details": "No Markdown for Agents support detected"
},
"has_sitemap": {
"score": 0,
"weight": 15,
"evidence": "plausible",
"details": "No sitemap found"
},
"has_robots_txt": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "robots.txt exists"
},
"has_llms_txt": {
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"weight": 10,
"evidence": "speculative",
"details": "No llms.txt found"
},
"has_content_signals": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No Content-Signal found (robots.txt or HTTP headers)",
"mechanisms": {
"robotsTxt": false,
"httpHeader": false,
"policy": false
}
}
}
},
"structuredData": {
"score": 30,
"weight": 20,
"grade": "F",
"checks": {
"has_schema_org": {
"score": 0,
"weight": 35,
"evidence": "proven",
"details": "No JSON-LD / Schema.org found"
},
"has_open_graph": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "0/3 OG tags present"
},
"has_meta_description": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Meta description: 127 chars"
},
"has_canonical_url": {
"score": 0,
"weight": 15,
"evidence": "plausible",
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},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "lang=\"en\""
}
}
},
"semanticHtml": {
"score": 88,
"weight": 15,
"grade": "B",
"checks": {
"proper_heading_hierarchy": {
"score": 100,
"weight": 30,
"evidence": "plausible",
"details": "Clean heading hierarchy"
},
"uses_article_or_main": {
"score": 100,
"weight": 25,
"evidence": "plausible",
"details": "Has <main>"
},
"semantic_elements": {
"score": 42,
"weight": 20,
"evidence": "plausible",
"details": "10 semantic elements, 70 divs (ratio: 13%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No informative images (2 decorative)"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "Avg div depth: 2.0, max: 4"
}
}
},
"contentEfficiency": {
"score": 85,
"weight": 10,
"grade": "B",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "93% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 50,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 42KB"
},
"minimal_inline_styles": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "0/371 elements with inline styles (0.0%)"
}
}
}
}
},
"recommendations": [
{
"id": "add_schema_org",
"priority": "critical",
"category": "structuredData",
"titleKey": "rec.add_schema_org.title",
"descriptionKey": "rec.add_schema_org.description",
"howToKey": "rec.add_schema_org.howto",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 7,
"maxImpact": 7,
"evidence": "proven",
"checkScore": 0,
"checkDetails": "No JSON-LD / Schema.org found"
},
{
"id": "add_markdown_negotiation",
"priority": "critical",
"category": "aiDiscoverability",
"titleKey": "rec.add_markdown_negotiation.title",
"descriptionKey": "rec.add_markdown_negotiation.description",
"howToKey": "rec.add_markdown_negotiation.howto",
"howToStepKeys": null,
"effort": "significant",
"estimatedImpact": 5,
"maxImpact": 5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"id": "add_open_graph",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_open_graph.title",
"descriptionKey": "rec.add_open_graph.description",
"howToKey": "rec.add_open_graph.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 4,
"maxImpact": 4,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "0/3 OG tags present"
},
{
"id": "add_sitemap",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_sitemap.title",
"descriptionKey": "rec.add_sitemap.description",
"howToKey": "rec.add_sitemap.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 3.8,
"maxImpact": 3.8,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No sitemap found"
},
{
"id": "add_canonical_url",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_canonical_url.title",
"descriptionKey": "rec.add_canonical_url.description",
"howToKey": "rec.add_canonical_url.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 3,
"maxImpact": 3,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No canonical URL"
},
{
"id": "add_llms_txt",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_llms_txt.title",
"descriptionKey": "rec.add_llms_txt.description",
"howToKey": "rec.add_llms_txt.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No llms.txt found"
},
{
"id": "add_content_signals",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_content_signals.title",
"descriptionKey": "rec.add_content_signals.description",
"howToKey": "rec.add_content_signals.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
},
{
"id": "add_semantic_elements",
"priority": "medium",
"category": "semanticHtml",
"titleKey": "rec.add_semantic_elements.title",
"descriptionKey": "rec.add_semantic_elements.description",
"howToKey": "rec.add_semantic_elements.howto",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 1.7,
"maxImpact": 3,
"evidence": "plausible",
"checkScore": 42,
"checkDetails": "10 semantic elements, 70 divs (ratio: 13%)"
}
],
"llmsTxtPreview": "# iamsunildev.in\n\n> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\n\n## Main\n- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…\n- [Sunil J.](https://iamsunildev.in/)\n- [Resume](https://iamsunildev.in/resume.pdf)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
"probed": true,
"bot": "OAI-SearchBot",
"controlStatus": 200,
"botStatus": 200,
"discriminates": false,
"refusedAsBot": false,
"edge": "Cloudflare",
"verifiable": false,
"detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
},
"snippets": [
{
"id": "add_llms_txt",
"title": "Create /llms.txt",
"description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
"language": "markdown",
"code": "# iamsunildev.in\n\n> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\n\n## Main\n- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…\n- [Sunil J.](https://iamsunildev.in/)\n- [Resume](https://iamsunildev.in/resume.pdf)\n\n",
"filename": "/llms.txt"
},
{
"id": "add_open_graph",
"title": "Add missing Open Graph tags",
"description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
"language": "html",
"code": "<meta property=\"og:title\" content=\"Sunil J — Senior Software Engineer\">\n<meta property=\"og:description\" content=\"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://iamsunildev.in\">\n<meta property=\"og:type\" content=\"website\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<meta property=\"og:title\" content=\"Sunil J — Senior Software Engineer\">\n<meta property=\"og:description\" content=\"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://iamsunildev.in\">\n<meta property=\"og:type\" content=\"website\">"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n if (!is_singular()) return;\n $post = get_queried_object();\n $title = get_the_title($post);\n $desc = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n $url = get_permalink($post);\n printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page.tsx",
"code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n title: \"Sunil J — Senior Software Engineer\",\n description: \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n openGraph: {\n title: \"Sunil J — Senior Software Engineer\",\n description: \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n url: \"https://iamsunildev.in\",\n images: [\"https://yoursite.com/og-image.jpg\"],\n type: 'website',\n },\n};"
}
]
},
{
"id": "add_canonical_url",
"title": "Add canonical URL",
"description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
"language": "html",
"code": "<link rel=\"canonical\" href=\"https://iamsunildev.in\">",
"filename": "<head>"
},
{
"id": "add_schema_org",
"title": "Add Schema.org JSON-LD",
"description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
"language": "html",
"code": "<script type=\"application/ld+json\">\n{\n \"@context\": \"https://schema.org\",\n \"@type\": \"WebPage\",\n \"name\": \"Sunil J — Senior Software Engineer\",\n \"description\": \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n \"url\": \"https://iamsunildev.in\",\n \"inLanguage\": \"en\"\n}\n</script>",
"filename": "<head>"
},
{
"id": "add_sitemap",
"title": "Create /sitemap.xml",
"description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
"language": "xml",
"code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n <url>\n <loc>https://iamsunildev.in</loc>\n <lastmod>2026-10-03</lastmod>\n </url>\n</urlset>",
"filename": "/sitemap.xml"
},
{
"id": "add_content_signals",
"title": "Add Content-Signal directives",
"description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
"language": "txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
"filename": "/robots.txt",
"stacks": [
{
"id": "robots",
"label": "robots.txt",
"language": "txt",
"filename": "/robots.txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
},
{
"id": "nginx",
"label": "Nginx",
"language": "nginx",
"filename": "server block",
"code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
},
{
"id": "apache",
"label": "Apache",
"language": "apache",
"filename": ".htaccess",
"code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "middleware.ts",
"code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n const res = NextResponse.next();\n res.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return res;\n}\nexport const config = { matcher: '/:path*' };"
},
{
"id": "cloudflare",
"label": "Cloudflare Workers",
"language": "javascript",
"filename": "worker.js",
"code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n async fetch(request, env, ctx) {\n const res = await fetch(request);\n const newRes = new Response(res.body, res);\n newRes.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return newRes;\n },\n};"
},
{
"id": "express",
"label": "Express / Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Express\napp.use((req, res, next) => {\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"
}
]
},
{
"id": "add_markdown_negotiation",
"title": "Support Markdown for Agents",
"description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
"language": "html",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
},
{
"id": "express",
"label": "Express",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"
},
{
"id": "fastify",
"label": "Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page/route.ts",
"code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n if (!is_singular()) return;\n $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n if (strpos($accept, 'text/markdown') === false) return;\n header('Content-Type: text/markdown; charset=utf-8');\n header('Vary: Accept');\n $post = get_queried_object();\n echo \"# \" . get_the_title($post) . \"\\n\\n\";\n echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n exit;\n});"
},
{
"id": "static",
"label": "Hugo / Jekyll / Astro",
"language": "txt",
"filename": "static/page.md",
"code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n# <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
}
]
}
]
}
API를 사용하여 프로그래밍 방식으로 가져올 수 있습니다 (곧 출시)
이 JSON은 내부용입니다 — Markdown 및 llms.txt 파일과 달리 사이트에 업로드하기 위한 것이 아닙니다. 시간에 따른 점수 추적을 위한 기준값으로 저장하거나, 개발팀과 공유하거나, CI/CD 파이프라인에 통합하세요.
결과 공유
또는 AI에게 개선 방법을 물어보세요
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이 배지를 사이트에 추가하세요. AI 준비도 점수가 변경되면 자동으로 업데이트됩니다.
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곧 출시: 전체 도메인 분석
전체 도메인을 크롤링하고, llms.txt를 생성하고, AI 준비도 점수를 시간에 따라 모니터링하세요. 대기자 명단에 등록하여 알림을 받으세요.
명단에 등록되었습니다! 서비스 출시 시 알려드리겠습니다.