Category: Tech & Engineering
The craft and discipline of building systems. Engineering judgment, architecture decisions, tradeoffs, and what experienced practitioners actually contend with.
-
Navigating the New Landscape of AI-Driven Infrastructure
The military’s push for AI integration exemplifies a critical shift in software engineering practices. Engineers must adapt to new failure modes and governance challenges presented by AI adoption. Read more
-
Funding the Future: Infrastructure Maintenance and AI-Driven Decision Making
As infrastructure ages, the shift to risk-based predictive maintenance raises critical questions about funding and responsibility. Effective maintenance strategies must adapt, prioritizing risk while ensuring sustainable financial models. Read more
-
Understanding the Precondition of AI-Driven Automation Failures
This article explores how systemic failures in AI-driven automation reveal deeper preconditions related to assumptions and organizational incentives. By focusing on these underlying issues, we can build more resilient systems that mitigate risks and enhance operational integrity. Read more
-
Evaluating AI-Driven Infrastructure: Failure Modes Uncovered
AI-driven infrastructure presents real risks due to overlooked failure modes. This article explores specific architectural pitfalls and security vulnerabilities that can undermine production systems. Read more
-
The Shift to AI-Driven Partnerships in Engineering
The engineering landscape is shifting towards partnerships that leverage AI to enhance capabilities. Practitioners must adapt to collaborative models while maintaining rigorous security and governance practices. Read more
