The Problem: When Your AI Coding Assistant Can’t Find the Docs I’ve been using Claude Code to assist in writing agentic systems with Eino, ByteDance’s Go framework for LLM applications.
In enterprise technology, values are often treated as window dressing. They show up on websites and annual reports, but rarely in boardroom decisions or project outcomes. That’s a mistake. Because
We’re in an era where nearly every consulting firm promises scale, reach, and resources. But the most successful programs we’ve led didn’t hinge on the scale—they hinged on trust. The
I’ve spent the last decade watching insurance carriers chase the wrong transformation goals. The pattern is exhaustingly familiar: launch a mobile app, stand up some self-service portals, sprinkle in AI
We often talk about architectures, methodologies, and tools in IT delivery. Those things matter. But in my experience, they are rarely the reason complex initiatives struggle or fail. More often,
Modernization has become a constant in enterprise tech. Every organization is modernizing something. Legacy systems are being retired, cloud migrations are underway, and AI pilots are launching at a rapid
Application development is often blamed for many modernization failures, missed deadlines, runaway costs, half-built systems that never scale. The natural assumption is that the coding went wrong. But most failures
AI is everywhere in enterprise conversations right now. Boards are asking when it will deliver. Executives are pushing for pilots. Teams are racing to get something, anything, into production. And
Every AI vendor is promising transformation. The smart CIOs and COOs know that transformation only sticks when the Target Operating Model evolves with it. Here’s the truth: most organizations are
Too many executives are still defaulting to staff augmentation when what they really need is accountability. You can throw resources at a project. However, without the proper structure, strategy, and
