AWS DevOps & Developer Productivity Blog
Category: Developer Tools
Building a Slack-powered AI development agent with Kiro CLI and headless authentication
Every code review discussion, incident response thread, and standup happens in Slack. But when an engineer needs to analyze a service or debug a failing test, they leave Slack, open a terminal, navigate to the repository, run commands, and paste the output back. That round trip takes 30 seconds for someone who knows exactly where […]
Accelerating development workflows with Kiro CLI as a Pre-Commit and Git Hook Agent
Code review feedback is most valuable when it arrives early. A security vulnerability caught in a pull request saves hours. The same vulnerability caught in production costs days. But what if you could catch it before the code even leaves the developer’s machine – at the time of git commit? Git hooks run automatically at […]
Audit trails for autonomous agents with AWS DevOps Agent
AWS DevOps Agent investigates production incidents and proposes or applies fixes on your behalf, raising two questions for every operation and security review: what did the agent do, and how do you understand its impact? Learn how to build a durable, low-maintenance audit trail using the agent journal, Amazon EventBridge lifecycle events, and AWS CloudTrail.
Automating the Experimentation Lifecycle with Kiro, AWS DevOps Agent, and LaunchDarkly
Introduction Continuous improvement depends on experimentation. Teams know that the fastest path to better outcomes is to test changes against real user behavior, measure results, and iterate. In practice, sustaining that cycle is slow and costly because the overhead compounds with each attempt. Three barriers slow teams down: 1. Planning cost — Turning a proposed […]
From clickops to governed IaC: CloudFormation drift detection in practice
AWS environments that have grown organically over time often share a common characteristic: infrastructure provisioned through the AWS Management Console, SDKs, or CLI without corresponding Infrastructure as Code (IaC) templates. This practice is commonly referred to as “ClickOps,” a term describing any infrastructure change made outside of a codified, version-controlled workflow. Whether changes happen through […]
Automate SageMaker HyperPod incident triage and root-cause-analysis with AWS DevOps Agent
Introduction Large-scale machine learning workloads: training, fine-tuning, and inference run on clusters of hundreds to thousands of GPU instances for days or weeks at a stretch. Keeping operational visibility across a fleet of this size is a constant challenge: hardware health events, node lifecycle transitions, capacity fluctuations, and workload-level issues appear in the event stream around […]
How Company 3 Streamlines Studio Image Management with EC2 Image Builder and AWS CDK
Guest post in collaboration with Company 3 Director of New Technology, Phil Wortas, and Senior New Technology Engineer, Matthew Galloway Introduction Company 3 provides specialized services for the entertainment industry, including post-production services, visual effects, and color grading for feature films, commercials, and television content. Their teams collaborate globally to Increase workflow efficiency and expand […]
How CloudFormation express mode accelerates your development cycle
AWS CloudFormation helps you model and provision cloud infrastructure as code using JSON or YAML templates, or through tools like the AWS Cloud Development Kit (CDK) and AWS Serverless Application Model (SAM). Whether you create stacks directly, use change sets for preview, or deploy through CI/CD pipelines and AI agents, the speed of your deployment […]
Ship infrastructure faster with CloudFormation and CDK pre-deployment validation on every stack operation
AWS CloudFormation helps you model and provision cloud infrastructure as code using JSON or YAML templates, or through tools like the AWS Cloud Development Kit (CDK). Whether you create stacks directly, use change sets for preview, or deploy through CI/CD pipelines and AI agents, fast feedback on template errors is critical to development velocity. Previously, […]
Feature Flag Orchestration with AWS DevOps Agent and LaunchDarkly
Introduction Organizations that use feature flags alongside incident response tooling often connect the two manually. When an outage occurs, engineers must identify which flags are relevant, decide whether to disable them, and coordinate the change across teams. This manual process adds latency at the moment it matters most. You can use AWS DevOps Agent and […]









