Category: Artificial Intelligence

AWS Transform custom runs an autonomous agent with shell access over your source code, using your AWS credentials. This post bounds it with three controls: a scoped trust allowlist, an execution identity separate from the one that authors, and a per-run agent-minute cap backed by an account budget.

HERE Technologies is accelerating NDS.Live map data development with an orchestrated, multi-agent approach built on Kiro. Kiro powers, the Kiro CLI, a three-layer memory system, and Code Intelligence turned a fragile, manual workflow into a consistent, largely automated process with ASPICE traceability captured as work is created.

Mirelo AI turned its hosted Model Context Protocol (MCP) server into a Kiro power, so developers can generate production-ready sound effects from a natural-language prompt without leaving their IDE. Learn how Mirelo built the integration and how AWS Enterprise Support helped bring it to the Kiro powers marketplace.

AS/400 business rule extraction no longer requires months of manual effort. Using Kiro, an agentic AI-powered development environment, this guide shows how to extract business rules from AS/400 RPG and COBOL programs, generate technical specifications, and produce modernization-ready documentation in days instead of months.

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 […]

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 […]

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.

Migrating a production database is a high-risk operational event. AWS DMS is a cloud service that migrates relational databases, data warehouses, and other data stores into the AWS Cloud or between environments. It moves the rows reliably, but the failures that page an on-call engineer rarely happen during the data copy. They occur in the […]

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 […]

AWS Health Planned Lifecycle Events signal when a managed service version is nearing end of standard support. Learn how to automate these upgrades end to end with AWS DevOps Agent and Kiro: detect the event, investigate the upgrade path, apply validated code changes, and open a pull request for human review.