<img src="https://res.infoq.com/news/2026/10/pizza-bot-ai-agents/en/headerimage/generatedHeaderImage-1790332896027.jpg"/><p>A team of developers working at AWS recently open-sourced Pizza Bot, a self-hosted application designed to let AI agents run tasks in the background and return results through an inbox-style interface. Agents can perform scheduled or webhook-triggered work, delegate tasks to…
<img src="https://res.infoq.com/news/2026/10/typesafe-ai-jev-released/en/headerimage/generatedHeaderImage-1790670999799.jpg"/><p>TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has introduced Jev, a decision-making model that generates typed outputs rather than text. It evaluates inputs in parallel, providing results with probabilistic scores and confidence values. Jev's adoption h…
<img src="https://res.infoq.com/news/2026/09/aws-cloudwatchomni-observability/en/headerimage/aws-reliability-dns-1790708319178.jpg"/><p>Recently launched, Amazon CloudWatch Omni is an AI-first observability platform designed to monitor, evaluate, and troubleshoot applications and autonomous AI agents in a unified environment.</p> <i>By Sergio De Simone</i>
<img src="https://res.infoq.com/articles/agent-harness-build-one/en/smallimage/The-Agent-Harness-What-It-Is-and-Two-Ways-to-Build-One-thumb-1789997776393.jpg"/><p>This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy AI Gateway. It compares how each handles tools, memory, m…
<img src="https://res.infoq.com/news/2026/09/ws02-agent-manager/en/headerimage/generatedHeaderImage-1789125513190.jpg"/><p>WSO2 has announced the general availability of WSO2 Agent Manager, an open-source platform designed to provide centralized governance, identity management, security controls, and operational oversight for AI agents running across different models, frameworks, and deployment en…
As companies hand off longer and more complex tasks to AI agents, they are running into an oversight problem: Agents can act faster, longer, and at greater volume than humans can realistically review.
<img src="https://res.infoq.com/news/2026/09/observability-ai-agents/en/headerimage/header-1788722438219.jpeg"/><p>Session traces and cost controls are emerging as key observability techniques for diagnosing AI agent failures, helping teams spot tool-call loops and runaway spend while preserving enough execution context for post-incident debugging.</p> <i>By Mark Silvester</i>