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AAIF_ALIGNMENT.md

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AAIF Alignment

Position

SecureIDE Workbench is an independent OSS product foundation maintained by Karunanidhi Mishra.

It is not an Agentic AI Foundation project, not a Linux Foundation project, and not endorsed by either organization. The repo is being prepared to participate credibly in AAIF-adjacent technical conversations by publishing concrete evidence around agentic enterprise readiness.

Why This Repo Matters

  • Domain: Cloud development workbench and AI coding governance
  • Enterprise thesis: A browser-based secure coding workspace with tenant-aware workspaces, AI pair programming, sandboxed execution, and export controls.
  • Target setup: Next.js front end, workspace runtime isolation, Convex or Postgres event store, policy service, WebContainer/sandbox runner, code-session audit logs.
  • Public contribution theme: agentic coding sandbox boundaries, audit logs, and contributor-safe workbench setup

AAIF-Adjacent Themes

  • AGENTS.md: create documentation, examples, or validation evidence that helps developers understand this boundary.
  • goose-style coding agent workflows: create documentation, examples, or validation evidence that helps developers understand this boundary.
  • agentgateway policy: create documentation, examples, or validation evidence that helps developers understand this boundary.
  • sandbox audit: create documentation, examples, or validation evidence that helps developers understand this boundary.

Readiness Profile Role

This is a flagship repository for the Agentic Enterprise Readiness Profile. It should receive the strongest evidence first: tool boundary docs, security assumptions, audit events, human approval gates, and reproducible setup proof.

Current Evidence

  • README with enterprise product scope
  • contributor onboarding documentation
  • Codespaces/devcontainer path
  • security reporting documentation
  • provider replacement direction
  • audit/observability planning
  • threat model or enterprise hardening notes where available
  • this AAIF alignment file
  • machine-readable agentic-readiness.json

Next Evidence To Produce

  1. Document the highest-risk agent/tool action in this product.
  2. Identify the identity, authorization, audit, and human approval boundary.
  3. Add one validation command or test around that boundary.
  4. Open a small public issue inviting focused contribution.
  5. Reference the result from the central Agentic Enterprise Readiness Profile.

Local Validation Commands

  • Install: npm install
  • Lint: npm run lint
  • Test: npm run test
  • Build: npm run build

Public Forum Guidance

When sharing this work in AAIF or Linux Foundation-adjacent forums:

  • ask for technical feedback
  • link evidence, not slogans
  • acknowledge independent status
  • do not tag maintainers cold
  • do not claim foundation recognition before it exists

Flagship Evidence

Flagship evidence is now published in Agentic Boundary Model.

  • Public issue: #3
  • Evidence title: Secure AI Coding Tool Boundary Model
  • Evidence scope: identity boundary, action boundary, human approval gates, audit events, OSS fallback direction, and local proof path.

This is evidence for AAIF-adjacent technical discussion only. It is not an affiliation or endorsement claim.