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sentry

Big improvements to Seer Agent

Sep 29, 2026 By Peter McCarron In Sentry
Today marks exactly five months since we launched Seer Agent, our friendly AI agent for querying all things in your Sentry projects (well, five months and a day ago, but close enough). Since then, we’ve had a lot of chats with Seer Agent. You may have even seen a few of them popping up on social media recently. It’s become an integral part of our debugging workflows and feature iteration process.
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honeycomb

Agents Need Context: Introducing Canvas Connectors, Fleet-wide AI Agent Visibility, and More

Sep 29, 2026 By Dan Juengst In Honeycomb
Earlier this year, we introduced more capabilities to support agents in production, a more chaotic, complex environment that requires a tremendous amount of context to understand. Unlike tools that capture shallow, pre-aggregated metrics, or cannot join a metric, trace, and log in one query, Honeycomb retains the context and connective tissue from telemetry data to build a nuanced view of production.
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honeycomb

Introducing AI Ecosystem: Zoom Out to See Your Whole AI Agent Fleet

Sep 29, 2026 By Dan Juengst In Honeycomb
A few months ago, we launched Agent Timeline to close the gap between knowing an agent failed and understanding why. It took the tangled reality of a multi-agent, multi-trace workflow and rendered it as a single, readable conversation: every LLM call, tool invocation, handoff, and downstream system span laid out in the order they happened.
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upsun

Your AI stack will change again. Stop rebuilding it.

Sep 29, 2026 By Upsun In Upsun
The model your team relies on today is unlikely to be the one you're relying on a year from now. If your team's process for shipping AI-assisted code is built around a specific model, coding assistant, or a vendor's take on an autonomous agent, you are not building infrastructure. You are building something you will tear out and rebuild the next time the leaderboard shifts.
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Sponsored Post
almaden ai

Collective IQ Business: meet the artificial intelligence that transforms IT management

Sep 28, 2026 By Almaden AI In Almaden AI
The employee digital experience (DEX) is no longer just a concept; it has become a concrete discipline supported by specialized tools. At the center of this transformation is Collective IQ, Almaden's DEX solution, available in the Essential and Business editions. The Business edition includes AlmaAI a family of generative AI capabilities that take IT management to a new level. These capabilities allow IT administrators to simplify their analysis and faultdetection processes, providing everything from daily prioritization to predictive analytics and naturallanguage interaction.
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harness

Introducing the Harness Connector for OpenAI: Bring software delivery into ChatGPT and Codex

Sep 28, 2026 By Rohan Gupta In Harness
Harness Connector for OpenAI: Bring CI/CD Context to ChatGPT & Codex A pipeline fails while you are working through a change in ChatGPT or Codex. To understand what happened, you need the execution details, the failed step, and the relevant pipeline configuration. Gathering that context can interrupt the work you were doing before you can even begin to solve the problem. The Harness Connector for OpenAI brings that delivery context into your AI workflow.
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control plane

AI Agent Infrastructure: Where to Run Agents in Production

Sep 28, 2026 By Hakan Karaduman In Control Plane
Run production AI agents on infrastructure with hardware-level isolation, sub-second sandbox restarts, and a compliance posture that already covers PCI DSS, HIPAA, and GDPR, so a single misbehaving agent can’t touch another workload or your audit trail. Control Plane runs every agent workload in a Kata Containers sandbox on a per-workload Firecracker microVM, with Capacity AI packing resources and scaling workloads dynamically to cut compute cost 30-50%.
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motadata

What Is AI Networking? The Two Pillars and Which One You Need

Sep 28, 2026 By Ramya Shah In Motadata
AI networking means two different things. Vendors rarely say which one they are selling. One is using AI to run the network you already have. The other is building network infrastructure fast enough to train AI models. Both pillars are real, and they solve completely different problems. Most network teams only ever need the first. In this blog, you will: You will finish knowing which pillar your own question belongs to.
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How to Connect Cursor to CircleCI: AI-Powered CI/CD Debugging

Sep 28, 2026 By CircleCI In CircleCI
Stop manually pushing branches, hunting for logs, and pasting errors back into your editor. This video shows you how to connect Cursor to CircleCI using the CircleCI CLI so your AI agent can trigger pipelines, read build output, and fix failures autonomously without you ever leaving the IDE. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it on its own, monitoring the pipeline until it comes back green. No tab-switching. No copy-pasting logs.
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Swarm Investigation: Watch AI Agents Resolve Incidents in Minutes | BigPanda

Sep 28, 2026 By BigPanda In BigPanda
Swarm investigation puts an entire team of AI agents on a major incident at once, cutting root cause discovery from hours to minutes. Every minute of a major incident costs real money, and traditional investigation, whether it's one engineer chasing a hypothesis or a team coordinating across tools, can't keep pace. This video shows how BigPanda's Swarm investigation dispatches AI agents to query systems, compare signals, and validate root cause in real time. See how autonomous incident response turns hours of manual troubleshooting into minutes.
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