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Building an agentic app deployer with Amazon Bedrock and AWS Lambda

PDI Technologies turned plain-English intent into deployed applications. Here's how the Lambda provisioning agent makes it work.

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The KeyNews take

Why it matters

A real deployment case study showing agents handling multi-step infrastructure work (planning, provisioning, multi-tenancy governance) — the kind of autonomous workflow that moves agents from pilot to production utility.

The key facts

11 to know
  1. PDI Brew: agentic platform enabling non-technical users to describe tools in plain English and receive fully provisioned multi-tenant web applications

  2. Architecture: pluggable planner + AWS Lambda provisioning agent + Amazon Bedrock backend

  3. Use case: infrastructure automation and app deployment via agent autonomy

  4. Platform: AWS (Bedrock, Lambda, multi-tenant governance)

  5. Published as AWS ML blog case study (vendor content with engineering detail)

  6. PDI Technologies built PDI Brew: agentic platform for app deployment

  7. Plain-English input → fully provisioned multi-tenant web application (seconds)

  8. Pluggable planner + AWS Lambda provisioning agent as core architecture

  9. Amazon Bedrock as the model backbone

  10. Non-technical user personas enabled

  11. Governance and multi-tenancy built in (not bolted on)

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, multi-tenant web application in seconds. See how a pluggable planner and an AWS Lambda provisioning agent turn plain-English intent into…
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