Ai
Verification Is the Bottleneck Now
A new Google whitepaper argues that generation stopped being the constraint on software delivery and verification became it. That matches what we see on client work. Here's the framework, what it gets right, and what it means when you're shipping infrastructure rather than demos.
Agent Toolkit for AWS: What Changed When We Installed It
AWS shipped the Agent Toolkit for AWS on May 6. It gives coding agents current AWS documentation, validated procedures, and IAM-level guardrails. Here's what it actually is, the setup step almost everyone misses, and where it still falls short.
AI Agents in Your DevOps Workflow: What Actually Works
After a year of operating AI agents in DevOps workflows, we have a clearer picture of where they earn their keep and where they create more risk than value. Here's what's actually worked.
Bedrock Agents in Production: Lessons from the Field
Six months of running Bedrock Agents in client production environments has taught us where they shine, where they fail, and what operational disciplines you need in place before turning them on.
Adding Amazon Q Developer to Your CodePipeline
A practical walk-through for putting Amazon Q Developer to work inside CodePipeline - reviewing CloudFormation diffs in pull requests, flagging IAM regressions, and where we draw the line between assistance and automation.
Using Amazon Q Developer to Write CloudFormation
Amazon Q Developer is a useful pair-programmer for CloudFormation, but it has rough edges around recent API changes and IAM scoping. Here's how we've been integrating it into our IaC workflow.
AWS Summit Los Angeles
We attended the AWS Summit Los Angeles and learned about the AI offerings that AWS has developed, like Q and Bedrock. AI seems poised to grow tremenously over the next years, and AWS is leveraging its strong security foundations to enable companies to take advantage of AI in a secure way.