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Conversational ai

As explained in Effective Platform Engineering

An intelligent assistant is a software application that interprets user requests and automates tasks or provides information through conversational or other interactive interfaces.

A conversational AI assistant is an interactive software interface that interprets requests to automate tasks or provide information. In engineering platforms, it can reduce manual effort and developer cognitive load while connecting teams with tools and resources. section 10.5 section 10.5.1

Develop an assistant incrementally:

  • Prioritize use cases by impact and complexity, then build an MVP around essential tasks such as simple commands, deployment status, and documentation links. section 10.5.3
  • Implement command parsing and CI/CD integrations; connect a communication channel using secure authentication and authorization. section 10.5.3
  • Test with unit and integration tests, run them in CI, and plan advanced AI features as a later step. section 10.5.3

A developer-support MVP

An assistant could answer FAQs, surface monitoring alerts, help with deployments, report deployment status, and fetch documentation links. section 10.5.3

How Effective Platform Engineering covers it

How deep it goes
Specifies implementation steps through testing and AI-feature planning, while leaving detailed AI application outside scope.
Examples
Uses deployment assistance, FAQ answers, monitoring alerts, deployment status, and documentation links as candidate functions.
What you can do after
Build it from scratch by prioritizing use cases, implementing an MVP, integrating a secure channel, and testing workflows.
How it connects
Connects platform engineering with task automation, CI/CD pipelines, communication channels, and infrastructure provisioning.

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This explainer was generated by Manning's knowledge graph from the text of Effective Platform Engineering. The section links point to the parts of the book it draws on.