GlueAI for Software Development: Hidden Truths Nobody Tells You
AI coding assistants promise magic but deliver mediocrity without context. Here's what vendors won't tell you about hallucinations, costs, and the real solution.
Code Graphs FAQ: Framework-Aware AI Context Layer Guide
Code graphs power modern dev tools, but most are syntax trees in disguise. Here's what framework-aware graphs actually do and why they matter for AI context.
AI Code Optimizer: Fix, Refactor, Improve — What Actually Works in 2026
AI code optimizers promise magic. Most deliver chaos. Here's what actually works when you combine AI with real code intelligence in 2026.
What Engineering Leaders Get Wrong About AI Tool Adoption
Most teams measure AI tool success by adoption rate. The right metric is whether hard tickets get easier. Here's the framework that works.
The CTO's Guide to AI Tool ROI
A framework for measuring actual return on AI coding tool investments. Spoiler: adoption rate is the wrong metric.
How to Conduct an AI Readiness Assessment for Your Engineering Team
Before buying AI tools, understand where your team will actually benefit. A practical framework for assessing AI readiness.
Cloud-Native Development: Why Understanding Your Infrastructure Matters More Than Your Framework
Serverless and Kubernetes changed deployment. But they also changed how developers need to understand their systems. The complexity moved, it did not disappear.
OpenAI Swarm: Lightweight Multi-Agent Coordination for Developer Tools
How lightweight agent frameworks like OpenAI Swarm compare to production multi-agent systems. When simplicity wins and when you need more.