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DevOps support for AI-SDLC at Dhwani RIS

The DevOps vertical's input for the AI-SDLC closing sessions at Dhwani RIS.

Live site: https://dhwani-ris.github.io/ai-sdlc-devops/

What this is

On 7 May, the AI-SDLC session agreed three personas (Product Builder, Architect, Account Manager) and a per-step accountability table across ten SDLC steps. The 12 May and 14 May closing sessions are locking the personas, ownership, and project-start enablers.

Each vertical was asked to come carrying its own inputs — as the voice of the vertical, not just the individual. This document is the DevOps vertical's input.

What's in the plan

  1. Where this fits — context from the 7 May session
  2. The three personas — quick recap
  3. The 10 SDLC steps — flow diagram with DevOps' contribution previewed per step
  4. Per-step DevOps support — deep-dives for each of the 10 steps, plus a recommended +1 (Beyond Go-Live: Operate & Feedback)
  5. Project-start enablers — DevOps' input against stack & tooling, sign-off & governance, AI in the SDLC, rollout
  6. How it lands for each persona — what changes for the PB, the Architect, the AM, and the client
  7. Outcomes — measurable promises
  8. Roadmap — four quarters
  9. What we need from leadership — people, tooling, decisions
  10. Open questions for the closing sessions

Audience

The AI-SDLC group (Sunandan, Swapnil, Abhijit, Harshdeep, Deepak, Nihaan, Prody, Ankit) — semi-technical, decision-making. The doc is paced so a reader can scan in 5 minutes or go cover-to-cover in 15.

Structure of the site

.
├── index.html              # The plan, as a single page
├── assets/
│   └── css/styles.css      # Dhwani-branded stylesheet
└── .nojekyll               # Disable Jekyll on GitHub Pages

Pure HTML + CSS. No build step.

Editing

index.html is the source of truth. Edit, commit, push — GitHub Pages redeploys automatically.

Prepared by

Dhwani RIS DevOps

Status: Draft v0.2 · last updated 2026-05-14 · For the AI-SDLC closing sessions (12 May, 14 May)

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AI-SDLC DevOps Playbook — DevOps strategy for AI-assisted delivery at Dhwani RIS

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