Software runs, but sometimes it doesn’t… and that’s often down to a lack of runtime visibility in relation to platform engineering teams being able to trust coding assistants and AI-powered site reliability engineering (SRE) services.
AI Didn’t Break Your DevOps Pipeline, Your Process was Already Rotten
AI isn’t breaking your DevOps pipeline; it’s exposing the flaws you’ve ignored for years. Learn how automated decision-making accelerates process decay, amplifies noisy signals, and reveals the ownership gaps that human intuition used to hide. It’s time for an operational reckoning.
When Code Becomes Cheap, Engineering Becomes Governance
AI agents can now generate in minutes what once took teams weeks, but the real shift is not faster coding. It is the collapse of code scarcity. As software production becomes industrialized, the job of engineers is moving from writing lines to governing systems, managing risk and deciding what should exist in the first place.
Anthropic Code Review Dispatches Agent Teams to Catch the Bugs That Skim Reads Miss
Anthropic Code Review dispatches agent teams to find bugs in PRs. Multi-agent analysis, severity ranking, and inline fixes for Teams and Enterprise.
DevOps Didn’t Fail — We Just Finally Gave it the Tools it Deserved
Charity Majors delivers a wake-up jab to DevOps, sparking debate on its evolution and success. Is it a failure or just getting interesting? Alan dives into the discussion.
How Small Engineering Teams Can Improve Reliability Without Adding Process Overhead
Modern software teams are under constant pressure to ship faster while maintaining reliability. For small engineering teams, this balance can feel especially difficult. Limited resources, tight deadlines, and shared responsibilities often mean that reliability improvements are postponed in favor of feature delivery. The good news is that improving reliability does not require heavy frameworks, additional […]
The Deterministic Future of AI-Generated Code
AI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-driven observability are becoming essential to code review and CI in the AI era.
AI-Driven Performance Testing: A New Era for Software Quality
Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation.
An Experience-Based Guide to Choosing the Right DevOps Provider in 2026
Selecting the right DevOps partner is critical for accelerating software delivery, reducing costs, and maintaining reliability. This guide outlines a four-phase approach — from internal preparation to final agreements — to help businesses evaluate, vet, and build long-term success with trusted DevOps service providers.
The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE
AI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout.