
The biggest AI story of 2026 isn’t the growing need for electrical power or the ridiculous way the market sold out for RAM based on a letter of intent to acquire. No, the biggest AI story of the year so far is how a scrappy little project completely upset the AI apple cart. OpenClaw (nee ClaudeBot, nee OpenMolt) set the world on fire. And it destroyed how people were trying to direct AI. I’m sitting over here giggling about it.
The basics of OpenClaw are simple enough. You have a system of agents that do things. It can read your texts or email and triage the flow of information. It can send you a text summary of the news or the weather every morning. But it can also be configured to monitor things as they arrive to deal with them on the fly. That’s where the real narrative shift has happened.
When you open a browser window to talk to an LLM you are creating a session that has a finite time limit. You are saying that you are going to work on a project for a specific period of time and that’s that. Once you complete Continue reading
The second demo1 I did during the Segment Routing workshop @ ITNOG10 illustrated how easy it is to set up and explore a small SR-MPLS network with netlab. The lab topology described a small three-router network (you need three routers to see “true” labels besides the penultimate-hop popping ones):
The biggest addition in v26.02 is a complete set of BGP diagnostics and visibility tools. These give network administrators new insights into routing behavior directly within NFA. The new BGP diagnostics panel introduces ping and traceroute checks, allowing engineers to run connectivity and path diagnostics without leaving the NFA interface. Additionally, a BGP Data Lookup feature enables direct queries against NFA’s internal BGP tables, supporting exact-match and more-specific match modes for precise prefix investigations. Finally, BGP History Lookup provides access to historical route events, including key attributes such as prefix, next-hop, AS path, and more. This makes it easier to trace routing changes over time and connect them with traffic events.


In part one, we covered the basics of pytest and wrote our first network tests. We tested BGP and OSPF on a single device, then extended it to multiple devices. We also looked at parametrization and how it helps treat each device and each neighbour as an independent test.
In this part, we will cover inventory management with Nornir and pytest fixtures.

Nornir is a Python automation framework designed for network engineers. Instead of writing your own logic to connect to devices, manage inventory, and run tasks in parallel, Nornir handles all of that for you. We have a dedicated series on Nornir, which you can check out here, so we are not going to do a deep dive in this post.
The reason we are using Nornir here is for inventory and task management. Instead of hardcoding a list of IP addresses in our collection file, we define our devices in a hosts file with groups, credentials, and Continue reading
Kyle Kingsbury published a long (10-part) article about his frustrations with AI, aptly named The Future of Everything is Lies, I Guess.
Regardless of where you are on the skeptic-to-fanboy spectrum, I would highly recommend you read it, even if you believe you’ll disagree with everything he wrote.

Modern AI and HPC workloads place extraordinary demands on the underlying network infrastructure. And as network engineers, we are often pulled into conversations about GPU clusters, maybe without a clear…
The post Understanding Scale-Out, Scale-Up, and Scale-Across Networking appeared first on JTnetwork.io.
I created nine sample SR-MPLS topologies for the ITNOG 10 SR-MPLS workshop, and of course, we ran out of time. I plan to cover those topologies and resulting printouts in a series of blog posts; to prepare for those, I cleaned up and reorganized the Segment Routing blog category, which is now split into two:
Hope you’ll find them useful! Also, if you know of other non-vendor Segment Routing resources, please leave a comment, email me, or submit a pull request.
I’ve previously pointed out that the AX.25 implementation in the kernel is pretty poor. It’s not really being maintained, and even when it gets fixes after I reported it, with people running LTS OSs it can take like 5 years before before the fix actually reaches users, if ever. So when writing applications, you still have to work around kernel bugs from a decade ago. This makes it kind of pointless to upstream patches.
The exception is security patches, and reading between the lines of why the AX.25 code is now being removed from the kernel, it sounds like maybe some LLM (like the looming “Mythos” and the related Glasswing) may have found some severe problems. But even if there aren’t any known security problems yet, having code is now more of a liability than ever. Code needs to be removed, or taken responsibility of. (tangent about ffmpeg at the bottom of this post)
With the kernel code removed, say goodbye to the old walkthrough.
Well, not “new”, per se, but “replacement”.
With the socket based API about to be gone, we need some other way for applications to send packets and Continue reading
If you’ve ever had to move a large session library from SecureCRT to SuperPutty, you know the pain — there’s no built-in migration path, and manually re-entering dozens (or hundreds) of sessions is a miserable afternoon. I wrote SCRT_2_SPUTTY to handle it automatically. Point it at your SecureCRT XML export, and it spits out a...
The post SecureCRT to SuperPutty – Migrate Your Sessions with One Python Script first appeared on Fryguy's Blog.If you’ve ever been curious about what an advanced degree in network engineering looks like, you’ll want to join us for this episode of the Hedge. Levi Perigo from the University of Colorado at Boulder joins Tom and Russ to talk through what earning a Master’s in Networking involves and what kinds of things you would learn.
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Welcome to Technology Short Take #195! It wasn’t planned this way, but it seems like this Tech Short Take is heavily slanted toward AI/LLM-related articles and posts. Topics like security concerns around improper storage of API keys, how developers are using AI tools, spyware getting installed with AI assistants, and how AI/LLMs might be creating barriers to entry for new IT profesionals are all on tap this time around. I hope this unintentional focus doesn’t prevent you from finding something useful!
netlab.