The hottest DevOps Substack posts right now

Advanced AI coding agents are effectively here and are radically speeding up software work. These agents run in sandboxed CLI environments with full machine access, shifting the abstraction from simple API calls to agentic orchestration.
AI-first commerce (iCommerce) can autonomously run online businesses by using agents to handle customer experience, operations, and order orchestration, replacing many manual tasks.
The focus for 2026 is to scale the company into a generational software leader by continuing model finetuning, building agent tooling and mobile apps, while maintaining personal health and disciplined daily practices.

Use a CLI-first setup with a terminal emulator and multiplexer, dedicating panes for the coding agent, an agent inbox, and the code to keep workflows fast and focused.
Follow a Spec-Test-Lint cycle: start from a clear, exhaustive spec, set up tests and strict linting/CI up front, and write tests before or alongside code so each feature is fully tested and production-ready.
Apply the same workflow to both quick side projects and complex codebases by varying strictness, keep a human-in-the-loop, sandbox experiments, and use agent-steering practices to reduce context switching and maintain quality.

Reactive detection and simple deception aren’t enough; if your infrastructure stays put attackers can exploit it before you notice.
Phoenix implements Automated Moving Target Defense for Kubernetes by proactively moving pods, rotating identities, and reducing attacker dwell time so exploits matter less.
The open-source operator gives a solid baseline for most teams, while a closed-source version adds granular policies, specialized AI/NVIDIA support, and faster predictive logic for large or regulated environments.

You work on more than just the technical code — the system includes users, support, competitors, and the market, and missing that context can make your work irrelevant, wrongly specified, or badly prioritized.
AI is lowering the cost of development, so developers are shifting from hand-coding everything to managing tools and judging agent outputs, which requires higher-level skills beyond writing code.
Spend time learning the greater system and move up the stack; understanding users, support, and market forces helps you build the right thing and make better tradeoffs.