I work with the AWSCC provider a lot. What does that really mean ? I am either testing new versions, or testing inflight schemas before a release is published or in some cases testing my own fixes to the provider before pushing to the upstream repositories. Now, the first example doesn’t really require much than upgrading your provider version to the latest one or leaving the version constraint out completely. In cases where you are in a directory with an existing .

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Failures are a given and everything will eventually fail over time- Werner Vogels, CTO, Amazon.com. And when an application goes down or an infrastructure change goes wrong, the first question is always What changed and who changed it ? . On a very high level, CloudTrail as a service gives you the view into the API calls which could have lead to that issue you are investigating. But, connecting that back to a specific deployment, commit , user person requires more context.

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Terraform has been iterating a lot more in the past few months introducing features or updates to the core binary which were always desired. Looking at the release notes of v1.15.0-alpha20260204 version , you see a few gems. You can set a deprecated attribute on variable and output blocks to indicate that they are deprecated. This will produce warnings when passing in a value for a deprecated variable or when referencing a deprecated output.

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MCP exploded. There is no better way to say that. Every developer I knew had at least a handful of those MCP servers running with their coding agents. But the context overload with all those was massive and I found myself seeing messages around context overflow a fair few times. I know for a fact that most of the MCP servers I have enabled and the tool definitions they have were not needed to be read by the agent all the time.

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Update 02/02: Added clarification on license key environment variable configuration If you’re following the Infrastructure as Code space, Josh Pollara is a name you’ve likely encountered. While I haven’t personally tried terrateam, I’ve been following what he and his co-founders have been building. One of the most common questions I get from customers using Terraform is around state management. Most AWS deployments default to S3 as a backend (with DynamoDB for locking in pre-1.

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Supporting the Terraform AWSCC provider as a triager with access to the service teams as I mentioned in CFn Schema versioning post, I do end up in situations where I need to ( or rather a Friday chore) review the new open issues against the provider. As with the previous post, the themes I see come up again and again are : Some input parameter being set as required/optional based on conditionals which a JSON schema cannot specify with the right urgency.

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The Terraform ecosystem continues to evolve with tools and mechanisms that make infrastructure modelling , provisioning and management more consistent and maintainable. I like to announce that Terratags has just released version 0.8.0, bringing expanded support for additional providers. What’s New with v0.7.0 and v0.8.0 The latest releases continue to expand the support for additional providers: Google Cloud Beta Provider Support Terratags now supports the google-beta provider, which mirrors the implementation of the standard Google Cloud provider for labels.

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Powers and now Skills. Kiro’s 1.24.0 version just added support for Skills, the new open spec for giving agents new capabilities and expertise. In a way. Let me explain. Naturally, I started using the kiro skills when the HashiCorp Sr PM for Agentic Workflows and a dear friend Gautam pinged asking if I tried the HashiCorp agent skills. Here is how I got along with it on kiro-cli which is my daily driver.

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Problem I have been supporting the Terraform AWSCC provider from the last couple of years documenting examples, contributing with small code changes and triaging issues with the provider usage. Some of the key themess I have found are: A valid json schema doesn’t always mean they would translate well with the provider. The provider has to take some specific steps to support some of the terraform workflows to ensure there is no drift when there isn’t one supposed to be.

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So , How was 2025 ? In really really short words, busy and fulfilling. When you look back , you always like to see the shiny stuff . The things that worked and where you did well. But it is criminally understated how many failures or rejections underpin some of those things what worked well. You get to that process of getting to do things well by learning from your failures.

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