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URL analisado

https://iamsunildev.in

Medido há 2 semanas

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Pontuação AI-Ready

Razoável

de 100

Poupança de tokens

Tokens HTML 14.712
Tokens Markdown 1082
Poupança 93%

Desdobramento da pontuação

Acessibilidade 100/100
Descobribilidade IA 45/100
Dados Estruturados 30/100
HTML Semântico 88/100
Eficiência de conteúdo 85/100

Protocolos emergentes

0 de 6 detetados

Endpoints well-known que os agentes de IA procuram. Detetado significa que um agente pode descobrir e conectar-se automaticamente ao seu serviço.

  • 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

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O que medimos No JSON-LD / Schema.org found

Não foram encontrados dados estruturados Schema.org. JSON-LD ajuda os agentes de IA a extrair informação factual e estruturada das suas páginas.

Como implementar

Adicione um bloco <script type="application/ld+json"> com marcação Schema.org. Use tipos apropriados: Article para publicações de blog, Product para páginas de produtos, Organization para a página da sua empresa.

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O que medimos No Markdown for Agents support detected

O seu site não suporta Markdown for Agents. Este padrão Cloudflare permite que agentes de IA solicitem conteúdo em formato markdown, reduzindo o uso de tokens em ~80%.

Como implementar

Implemente um ou mais: (1) Responder a Accept: text/markdown com conteúdo markdown. (2) Servir URLs .md (ex: /pagina.md). (3) Adicionar tags <link rel="alternate" type="text/markdown">. (4) Adicionar cabeçalhos HTTP Link para descoberta markdown.

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O que medimos 0/3 OG tags present

Tags Open Graph em falta ou incompletas. As tags OG ajudam os agentes de IA (e plataformas sociais) a compreender o título, descrição e imagem da sua página.

Como implementar

Adicione meta tags og:title, og:description e og:image ao <head> da sua página.

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O que medimos No sitemap found

Nenhum sitemap encontrado. Um sitemap ajuda os agentes de IA a descobrir todas as páginas do seu site.

Como implementar

Crie um /sitemap.xml listando todas as suas páginas públicas. A maioria das plataformas CMS pode gerar isto automaticamente.

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O que medimos No canonical URL

Nenhum URL canónico encontrado. Isto ajuda os agentes de IA a identificar a versão preferida de uma página e evitar conteúdo duplicado.

Como implementar

Adicione uma tag <link rel="canonical" href="..."> apontando para o URL canónico da página.

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O que medimos No llms.txt found

O seu site não tem um ficheiro llms.txt. Este é o padrão emergente para ajudar agentes de IA a compreender a estrutura do seu site.

Como implementar

Crie um ficheiro /llms.txt seguindo a especificação llmstxt.org. Inclua uma descrição do site e links para as suas páginas principais.

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O que medimos No Content-Signal found (robots.txt or HTTP headers)

Nenhuma diretiva Content-Signal encontrada. Estas indicam aos agentes de IA como podem usar o seu conteúdo (indexação, entrada IA, dados de treino). A localização recomendada é robots.txt.

Como implementar

Adicione Content-Signal ao seu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Também pode adicioná-lo como cabeçalho HTTP em respostas markdown.

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O que medimos 10 semantic elements, 70 divs (ratio: 13%)

A sua página depende muito de elementos <div>. Elementos semânticos como <section>, <nav>, <header>, <footer> e <aside> fornecem uma estrutura significativa para agentes de IA.

Como implementar

Substitua contentores <div> genéricos por elementos semânticos apropriados. Use <section> para grupos temáticos, <nav> para navegação, <header>/<footer> para cabeçalhos e rodapés de página/secção.

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Tokens Markdown: 1082
👨‍💻 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

[![](https://iamsunildev.in/favicon.svg)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

![](https://iamsunildev.in/me.jpeg)

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

Carregue este ficheiro como /index.md no seu servidor para que os agentes de IA possam aceder a uma versão limpa da sua página. Também pode configurar a negociação de conteúdo Accept: text/markdown para o servir automaticamente.

llms.txt gerado para esta página individual

Descarregar 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)

O llms.txt completo requer análise de todo o domínio (em breve)

Carregue este ficheiro como https://iamsunildev.in/llms.txt na raiz do seu domínio. Agentes de IA como ChatGPT, Claude e Perplexity verificam este ficheiro para compreender a estrutura do seu site.

Acessibilidade

Conteúdo disponível sem JavaScript (100/100)

Content available without JavaScript

Conteúdo aparece cedo no HTML (100/100)

Main content starts at 6% of HTML

Tamanho de página razoável (100/100)

Page size: 42KB

Descobribilidade IA

robots.txt permite bots de IA (100/100)

All major AI search bots allowed

Suporte a Markdown for Agents (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
Tem sitemap.xml (0/100)

No sitemap found

Tem ficheiro robots.txt (100/100)

robots.txt exists

Tem ficheiro llms.txt (0/100)

No llms.txt found

Tem Content-Signal (robots.txt ou cabeçalhos HTTP) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Dados Estruturados

Tem Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Tem tags Open Graph (0/100)

0/3 OG tags present

Tem meta descrição (100/100)

Meta description: 127 chars

Tem URL canónico (0/100)

No canonical URL

Tem atributo lang (100/100)

lang="en"

HTML Semântico

Hierarquia de títulos correta (100/100)

Clean heading hierarchy

Utiliza elemento article ou main (100/100)

Has <main>

Utiliza elementos HTML semânticos (42/100)

10 semantic elements, 70 divs (ratio: 13%)

Textos alt de imagens descritivos (100/100)

No informative images (2 decorative)

Baixa profundidade de aninhamento de div (100/100)

Avg div depth: 2.0, max: 4

Eficiência de conteúdo

Bom rácio de redução de tokens (100/100)

93% token reduction (HTML→Markdown)

Bom rácio conteúdo-ruído (50/100)

Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)

Peso de página razoável (100/100)

HTML size: 42KB

Estilos inline mínimos (100/100)

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[![](https://iamsunildev.in/favicon.svg)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![](https://iamsunildev.in/me.jpeg)\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": {
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    "score": 69,
    "grade": "C",
    "rubricVersion": 3,
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        "weight": 30,
        "grade": "A",
        "checks": {
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      "aiDiscoverability": {
        "score": 45,
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        "grade": "D",
        "checks": {
          "robots_allows_ai_bots": {
            "score": 100,
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            "details": "All major AI search bots allowed"
          },
          "supports_markdown_negotiation": {
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            "details": "No Markdown for Agents support detected"
          },
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            "details": "No sitemap found"
          },
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          },
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            "evidence": "speculative",
            "details": "No Content-Signal found (robots.txt or HTTP headers)",
            "mechanisms": {
              "robotsTxt": false,
              "httpHeader": false,
              "policy": false
            }
          }
        }
      },
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        "checks": {
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          },
          "has_open_graph": {
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            "evidence": "plausible",
            "details": "0/3 OG tags present"
          },
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            "details": "Meta description: 127 chars"
          },
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          }
        }
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        "checks": {
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          },
          "semantic_elements": {
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          },
          "meaningful_alt_texts": {
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            "details": "No informative images (2 decorative)"
          },
          "low_div_nesting": {
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            "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,
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            "evidence": "speculative",
            "details": "HTML size: 42KB"
          },
          "minimal_inline_styles": {
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            "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",
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      "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 &amp; 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 &amp; 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\">"
        }
      ]
    }
  ]
}

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