Contributed Content
The Agent Failure Your Approval Gate Can’t Catch
An agent that does the wrong thing leaves evidence — a bad diff, a malformed record, a customer complaint. An agent that does nothing and reports success leaves a green checkmark, and ...
Attaching Evidence to Alerts: an Enrichment Sidecar for Alertmanager
Every on-call engineer knows the ritual. A page lands in Slack: the 5xx rate on a service is above the threshold. The message tells you that something is wrong and nothing about ...
Secrets Sprawl and Rotation: A Practical Vault Management Playbook
In 2025 alone, security firm GitGuardian detected 28.65 million new hardcoded secrets exposed in public GitHub commits — a 34% increase year over year and the largest single-year jump the company has ...
AI Is Taking on Entry-Level Engineering Work. Who Trains the Young Engineers?
When I started my career on a support desk, I dealt with failed logins, missing permissions and recurring system errors every day. The work was repetitive, but repetition taught me to spot ...
Federated Query at Petabyte Scale: A Deployment Pattern for a Governed AI-Agent Data Layer
A federated query architecture can reduce data duplication and latency while creating a governed, auditable data layer that enterprise AI agents can safely access ...
Security Teams Are Fixing Vulnerabilities Faster Than Ever. So Why Is Software Getting Riskier?
AI is speeding up dependency decisions, making point-of-selection security essential for reducing vulnerable components, downstream tickets and avoidable rework ...
Availability Should Follow the Workload, Not the Infrastructure
Platform engineering has automated deployment but not recovery. The next maturity curve is intelligent operations that automate routine production decisions and resilience ...
Taste, Discernment, and Judgment Have Become Must-Have Engineering Skills
AI coding agents make code generation cheap, shifting engineering value toward standards, deterministic quality gates, contextual review and human judgment about what should ship ...
QA Automation Frameworks for Enterprise Applications
Modern enterprise applications demand testing strategies that can keep pace with continuous delivery, distributed architectures, and increasingly complex deployment pipelines. Traditional manual testing approaches often become a bottleneck as engineering teams scale ...
AI Is Breaking Developers’ Traditional Game Testing Playbook
Game testing has always been an unpredictability problem for developers. Players move in the wrong direction, trigger events out of order, or combine mechanics no designer anticipated. Even so, developers could usually ...
How to Move AI SRE Agents From Demo to Production
An AI agent that works on an engineer’s laptop can feel like a breakthrough. It can read logs, query observability tools, inspect cloud resources and connect a failed deployment to a bad ...
From Software Supply Chains to AI Vulnerabilities: Why Neither Solves Enterprise Linux Security
For nearly a decade, cybersecurity has been dominated by one overarching concern: securing the software supply chain. Organizations invested heavily in Software Bills of Materials (SBOMs), artifact signing, provenance frameworks, reproducible builds, ...

