{
  "name": "Karunanidhi Mishra Technical Articles",
  "canonicalPage": "https://kmishra1204.github.io/karunanidhi-mishra/articles/",
  "articles": [
    {
      "slug": "agents-md-enterprise-operating-contract",
      "title": "AGENTS.md as an Enterprise Operating Contract",
      "description": "How AGENTS.md can move from a local contributor hint into a reviewable operating contract for human and AI contributors in enterprise repositories.",
      "publishedAt": "2026-07-05",
      "readingTime": "7 min read",
      "url": "https://kmishra1204.github.io/karunanidhi-mishra/articles/agents-md-enterprise-operating-contract/",
      "keywords": [
        "AGENTS.md enterprise",
        "AI coding agents",
        "repository operating contract",
        "enterprise developer workflow",
        "agentic AI governance"
      ],
      "summary": "AGENTS.md is valuable when it makes scope, validation, secret handling, tool boundaries, and proof expectations explicit enough for both human contributors and coding agents."
    },
    {
      "slug": "mcp-tool-boundary-evidence",
      "title": "MCP-Style Tool Boundary Evidence for Enterprise Agents",
      "description": "A practical evidence model for reviewing agent tools: side effects, approval gates, identity, audit events, fallback behavior, and provider choice.",
      "publishedAt": "2026-07-05",
      "readingTime": "8 min read",
      "url": "https://kmishra1204.github.io/karunanidhi-mishra/articles/mcp-tool-boundary-evidence/",
      "keywords": [
        "MCP tool boundary evidence",
        "model context protocol governance",
        "tool approval gates",
        "agent audit events",
        "enterprise AI governance"
      ],
      "summary": "Enterprise reviewers need to know what an agent tool can read, what it can change, whose identity it uses, and how the action is audited before trusting it in production-like workflows."
    },
    {
      "slug": "enterprise-facelift-for-saas-codebases",
      "title": "Enterprise Facelift Pattern for SaaS-Seeded Codebases",
      "description": "A practical pattern for turning paid-service-heavy learning codebases into OSS-friendly enterprise product foundations without hiding the original technical learning value.",
      "publishedAt": "2026-07-05",
      "readingTime": "9 min read",
      "url": "https://kmishra1204.github.io/karunanidhi-mishra/articles/enterprise-facelift-for-saas-codebases/",
      "keywords": [
        "enterprise product foundation",
        "SaaS codebase modernization",
        "OSS provider alternatives",
        "Next.js enterprise architecture",
        "production readiness"
      ],
      "summary": "The goal is not cosmetic renaming. A real enterprise facelift removes promotional residue, documents provider alternatives, defines operational boundaries, and gives developers a reproducible setup path."
    }
  ],
  "claimBoundary": {
    "googleRankingClaimed": false,
    "githubTrendingClaimed": false,
    "foundationEndorsementClaimed": false,
    "maintainerApprovalClaimed": false,
    "acceptedContributorCreditClaimed": false
  }
}
