Technology Stack Assessment

Assessment

Assess your technology portfolio — lifecycle stages, radar status, and replacement candidates.

Generates ~15–40 technologies

Which LLM should I use?

Any modern LLM works. GPT-4o and Claude 3.5+ give the best JSON output quality. Gemini Pro is a solid free option.

How it works

1Fill in optional details below and click Build Prompt.
2Copy the generated prompt and paste it into ChatGPT, Claude, Gemini, or any LLM.
3Copy the JSON result from the LLM response.
4Go to the import page and paste the JSON to import the data into Atlas.

Customise your prompt

Organisation name(optional)

Industry(optional)

Organisation size(optional)

Current infrastructure / tech list(optional)

Example LLM output

The LLM will return JSON in this format. Paste it into the import page.

{
  "technologies": [
    {
      "name": "Java 17",
      "vendor": "Oracle / OpenJDK",
      "category": "language",
      "lifecycleStage": "active",
      "radarStatus": "adopt",
      "description": "Primary backend language for enterprise services and microservices."
    },
    {
      "name": "Oracle Database 12c",
      "vendor": "Oracle",
      "category": "database",
      "lifecycleStage": "contained",
      "radarStatus": "hold",
      "description": "Legacy relational database used by core ERP systems.",
      "replacementCandidate": "PostgreSQL 16"
    },
    {
      "name": "Amazon EKS",
      "vendor": "Amazon Web Services",
      "category": "cloud",
      "lifecycleStage": "active",
      "radarStatus": "adopt",
      "description": "Managed Kubernetes service for container orchestration in production."
    }
  ]
}

Import into Atlas

Paste the JSON from your LLM into Atlas to populate your portfolio in seconds. Free account required.

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