AWS Labs has released AI-DLC Workflows 2.0 as generally available on the main branch, turning AI agents into verifiable, self-correcting engineering workflows from a harness-neutral core that renders …
An AWS Labs sample for evaluating AI agents, Agent-EvalKit, uses the same Anthropic Claude model as both the judge and the subject in its QA example, a design choice that is not disclosed in the repos…
AWS Labs has released the AWS Knowledge Model Context Protocol (MCP) Server, an open-source tool that connects AI assistants like Claude and Copilot to real-time AWS documentation, blog posts, and ann…
A developer tested AWS Seekable OCI (SOCI) on Fargate to reduce cold start times. SOCI cut median cold start from 49s to 35s (29% faster) and reduced variability, but showed no benefit on warm starts.…
AWS released Loom, an open-source reference platform for building, deploying, and governing AI agents at enterprise scale, available on AWS Labs. The platform addresses seven key challenges including …
AWS has released Loom for AWS, an enterprise-grade open-source platform for building, deploying, and operating secure AI agents at scale using Amazon Bedrock AgentCore and AWS Strands Agents. The plat…
Two open-source frameworks, BMad Method and AI-DLC, aim to bring structure to AI-driven software development. BMad Method, from BMad Code, provides an agile framework with specialized agent personas a…
AWS open-sourced AI-DLC (AI-Driven Development Life Cycle), a methodology that transforms Claude Code from an autocomplete tool into a disciplined, phase-driven engineering partner. The approach uses …
AWS has released the Agent Toolkit for AWS, a free set of tools that gives AI coding agents secure access to AWS services, current documentation, and vetted procedures. The toolkit integrates with age…