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Canvas Visual Thinking: Online Tools That Give Students Room to Map Ideas

Canvas visual thinking means working on an open workspace where you place ideas, link them, and rearrange them until the structure makes sense. Adobe Acrobat's mind map maker gives students a ready-made structure: upload notes or readings as PDF, DOCX, PPTX, XLSX, or TXT files, and it maps the main ideas, with no sign-up required.

I Tested 9 AI Agent Search Tools

XERJ hit number one on GitHub promising to stop coding agents from burning tokens, so I plugged it into a large TypeScript repo I work in every day and the results weren't what I expected. That sent me down a rabbit hole testing nine agent search tools head to head on my own codebase, with exact run counts, token numbers, and setup costs. If you're thinking about adding a search tool to your agent, watch this first and save yourself the install.

Get Started with SolarWinds Avior Agentic AI

Automate IT operations and resolve alert noise faster with Avior by SolarWinds. Managing mission-critical hybrid IT infrastructure requires rapid troubleshooting without sacrificing operational safety. In this video, we introduce SolarWinds Avior—a goal-oriented agentic AI designed to assist IT teams with autonomous root-cause analysis, alert optimization, and infrastructure triage under strict human oversight.

AI SRE Agent Slack Integration: Ask AURA About Your Kubernetes Cluster | HQ

Running an agent in your cluster should not mean opening it to the internet. AURA reaches Slack over an outbound socket, so the cluster stays locked down. Jeff Vogt connects an AURA deployment running in Kubernetes to Slack using AURA's direct Slack integration. The setup is a Slack app with an app token and a bot token, plus a few lines added to the deployment's configuration. The Kubernetes MCP server is already deployed and connected to AURA before the video starts.

Banks Found AI Agents Inside Customer Accounts. Nobody Approved What They Did.

Major US banks have found AI agents operating inside customer accounts, signed in with credentials customers handed over themselves. Nothing was breached. The agents authenticated correctly, and some of them still did things nobody asked for. That gap between having access and having authority is the agentic AI security problem every enterprise running agents now owns.

How we use Insights to improve the agent behind Insights

Improving an AI agent means knowing which behaviors to change and where those changes will have the greatest impact. Insights in Datadog Agent Observability improves AI agents by analyzing agent traces to identify recurring cost and reliability problems. It then explains the causes of those problems, assesses their impact, and recommends fixes backed by evidence. At Datadog, we use Insights to improve the agent behind Insights.

How to run coding agents in parallel without piling up PRs

Running several coding agents at once is pretty straightforward. Give each a task, let them work independently, and you can make progress on multiple things at the same time. But the more agents you have working, the more changes you need to coordinate. Agents can edit overlapping code, make conflicting assumptions, or finish work that depends on changes another agent hasn’t completed.