A developer building LLM workflows argues that choosing between chaining libraries and general orchestrators depends on whether the problem is LLM glue or reliable execution. The developer built Promp…
A developer built a fully automated AI blog on AWS using CDK, Bedrock, and Step Functions. The serverless pipeline generates weekly diary entries from AI chat sessions, complete with illustrations and…
Amazon Web Services announced a generative AI solution using Amazon Bedrock to automatically sort and prioritize email messages for public sector organizations. The system categorizes incoming emails …
Amazon Web Services announced a new multi-turn reinforcement learning infrastructure for Amazon Nova on Amazon SageMaker HyperPod, enabling training of enterprise agents on multi-step workflows. The e…
Amazon Web Services made Amazon Bedrock AgentCore Harness generally available on June 17 at AWS Summit New York, offering a two-API-call solution (CreateHarness and InvokeHarness) to deploy production…
Enterprise architects face a fundamental tension between the Saga pattern for rollback and autonomous agent design, as the pattern requires pre-authoring undo actions for known steps, which becomes im…
Loop Engineering introduces a governance architecture for AI agents that prevents costly errors by adding structured control layers, including task definitions, state separation, tool guards, observat…
Two blog posts from DBOS and Obelisk sparked a debate on using Postgres versus SQLite for durable workflow execution, with both arguing their preferred database can replace external orchestrators like…
Amazon Web Services announced a new solution for building highly scalable, serverless multi-agent generative AI systems using LangGraph agents integrated with Amazon Bedrock AgentCore Memory and Obser…