GlueQuantum-Resistant Cryptocurrency FAQs: Building Quantum-Safe Crypto
Quantum computers will break current crypto. Here's what you need to know about post-quantum cryptography, migration timelines, and auditing your dependencies.
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.
Blast Radius Oracle FAQ: Building Code Change Impact Analysis
How we built a system that predicts what breaks when you change code. File-to-feature mapping, call graphs, and risk scoring that actually works.
AI Kanban Board: Smart Task Management for Engineering Teams
Traditional kanban boards track tickets. AI kanban boards track code, dependencies, and blast radius. Here's why your team needs the upgrade.
Building a Blast Radius Oracle: How I Designed Impact Analysis
I built Glue's blast radius analysis by mapping files to features, dependencies, and impact zones. Here's why most change analysis tools fail.
Building a Blast Radius Oracle: How We Designed Impact-of-Change Analysis
Most impact analysis tools are wrong. We built a system that combines static analysis, runtime traces, and LLM reasoning to actually predict what breaks.
Call Graphs That Prevent Production Incidents
How understanding code dependencies and blast radius before deployment prevents the bugs that code review misses.
Why Your Codebase Is a Graph, Not Files
Deep dive into graph-based code analysis and why traditional file-based thinking fails at scale.
Why Your Code Review Process Is Catching the Wrong Bugs
Code reviews catch style issues and obvious errors. They miss the architectural bugs that cause production incidents. Here's why, and how to fix it.
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.