! 10 posts tagged
AI can generate Cisco configs and Terraform plans with impressive fluency, but the hard part of network engineering was never the syntax. It's interop, requirements, and the mental models we build to design and troubleshoot.
Using netconan to strip passwords, IPs, and sensitive strings from Cisco and Juniper configs before sharing them — deterministic, reversible, and prefix-preserving.
Using Netconan and Python to strip passwords, IPs, and sensitive data from Cisco configs before sharing them.
A practitioner's map of the network automation ecosystem — from CLI parsing and config management to source of truth platforms, testing, and AI-assisted operations.
NetDevOps is not just for operators writing scripts. Network designers need to evolve too — embracing programmability, data models, and infrastructure as code to stay relevant.
As LLM accuracy improves from broken syntax to near-flawless output, the real question shifts: how much hard skill do we actually need, and how do we keep it sharp?
Building a lightweight BGP route leak detection tool using pyBGPStream and RPKI validation to catch misconfigurations before they propagate.
Using large language models to extract structured data from show command output when TextFSM templates don't exist or are too rigid.
Using Batfish to validate network configurations before deployment — catching routing loops, unreachable subnets, and policy violations without touching a live device.
Moving from manual ACL management to declarative infrastructure as code using Terraform and Python, eliminating the risk of fat-finger mistakes at 2am.