Making AI work for you: Terraform engineer blueprint
summary
Proven techniques for reliable infra code: repository context, reusable prompts, MCP servers, and validation workflows demonstrated with Amazon Q Developer and CLI. An agent creates 17 tests for an AWS Glue Terraform module, runs iterative terraform test loops and fixes failures until all pass after about 1.5 hours. The demo also generates a working Terraform action for SNS (code, docs, registration, tests) and shows practical templates and feedback-driven workflows.
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chapters (7)
- 0:00Introduction and motivation
- 1:36Automating Terraform tests
- 6:52Enhancing AI context
- 11:03Leveraging agents and tools
- 14:10Human role in AI workflows
- 16:09Building a Terraform action
- 28:55Conclusion and takeaways
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