microsoft / microsoft/WhatTheHack

[Proposal]: Agentic build-with hack

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proposal
Dominant language
C#
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Description

Topic

The #AgenticRevolution is here. AI Agents are prolific, but how can they be used effectively across all stages of building a cloud solution?

This hack will showcase how developers and architects can use AI agents like GitHub Spark, GitHub Copilot, GHCP App Mod extensions for Java and .NET, M365 Copilot, and other agents to design, ideate, build, operate, and enhance cloud solutions.

Abstract/Learning Objectives

-Learn how the SDLC / build-with process can be augmented with a suite of Microsoft AI tools
-Ideate and design a cloud solution with different agents (Researcher, Architect, Spark)
-Learn how to effectively use GitHub Copilot agent mode (instruction/prompt files, prompt engineering, model selection) to develop/enhance cloud solutions on Azure.
-This should include developing IaC, CI/CD artifacts, and code
-Learn how tools like SRE agent or Azure Copilot supports managing/governing cloud solutions

Delivery Date

Late October and beyond

Authors
dkirby-ms
Whowong
Other

This hack has a related TTU session that is scheduled for delivery on Oct 10th

Code of Conduct
  • I agree to follow this project's Code of Conduct

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start from the proposal's Topic and Abstract/Learning Objectives, then review the listed agents and the related TTU session scheduled for Oct 10th. The issue names no files, tests, or entry points. Done means delivering a hack that covers ideation, design, development, IaC, CI/CD, and cloud operations as described.

Written by the indexing model from the issue text.

Assessment

Tech stack
azure, github, java
Domain
ai, cloud, devops, documentation
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
24/100

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