Category: Worth Reading

A lot of AI-coding enthusiasts are making claims along the lines of “AI coding tools are like compilers; you supply intent, they translate it into code, and who ever looked at the machine-code output?” Unfortunately, there is a bit of a gap between hope and reality; traditional compilers were always deterministic, and are (after decades of development and bug-fixing) pretty much bug-free. AI coding tools are neither, and no amount of “agentic loops” will solve that.

Tony Mattke put together a long list of recommendations that might help you get more out of your LLM tokens.

Definitely worth reading instead of yelling at the stupid AI.

Tony Mattke published a blog post I wish I’d read 10 years ago. His Oh-Shit Toolkit includes several tools one can use after messing up Git branches or commit history.

Definitely worth reading, even if you’ve been working with Git for ages.

Just in case you decide to build a simple Python project over the summer: read scripting good practices in Python by Brett Cannon and tell your AI friend to adhere to them ;)

Ali Bahadır Coşkun continued his EVPN/VXLAN journey. Using the free netlab-powered EVPN/VXLAN labs, he finished the basic EVPN/VXLAN lab (adding EVPN control plane to VXLAN underlay), and then completed the whole VXLAN/IRB/anycast saga.

Want to do something similar? The free EVPN/VXLAN lab exercises include six VXLAN labs, almost a dozen EVPN labs, and a few EVPN designs. I might add a lab or two during the summer break.

Daniel Blažek couldn’t resist testing Arista EOS centralized anycast gateway functionality (on top of IPv6 underlay to make it even more fun) and published working device configurations in a GitHub repo.

His repository includes a containerlab topology definition, so you can start the lab directly from the repository.

The Appearing Productive in The Workplace article I stumbled upon is yet another masterful description of how AI slop, used by Expert Beginners, wastes everyone’s time and energy. Try to have fun reading it, even though it may be way too close to the mark.

Claudia de Luna published a step-by-step description of how you can use SuzieQ data with an AI agent.

That’s definitely interesting, but I found the list of MCP resources at the end of her blog post even more valuable; that’s a keeper even if you never looked at SuzieQ (in which case you REALLY SHOULD).

Charity Majors wrote an excellent article describing AI enthusiasts in a race against time and AI skeptics in a race against entropy. Fair warning: its very first sentence triggered an acute case of PTSD:

I recently attended a talk where one of the presenters made some pretty…astonishing claims about what they had achieved by the pure, uncut power of vibe coding.

I’ve seen way too many presentations making “astonishing claims” about the unlimited unicorn-driven powers of OpenFlow, SDN, OpenDaylight, or Ansible.

Ali Bahadır Coşkun wrote a nice article describing how he mastered extending a VLAN with static VXLAN with the help of free netlab-powered VXLAN labs.

The same set of lab exercises includes six VXLAN labs, almost a dozen EVPN labs, and a few EVPN designs. I might add a lab or two during the summer break.