Ideas Weave Every Narrative with AI.
AI coding assistants routinely ignore your carefully written documentation. The problem isn’t your writing — it’s that agents have no incentive to read it. Trigger-tree, an open-source tool, now offers a CI gate that checks whether your AI agent actually opened the docs you intended it to. If an AI doesn’t read your docs, they are effectively dead code. Writing for AI requires enforcement, not just authorship.
Most teams think they have to choose between writing documentation for human comprehension or AI indexing. It’s a false dichotomy. The same design principles—clear hierarchy, consistent labeling, and semantic structure—that make docs readable for tired developers are exactly what make them parseable for AI agents. Stop compromising and start building for clarity.
AI-generated code is flooding our codebases, but it’s creating a crisis of comprehension. When no one understands how the code works, technical debt compounds faster than ever. This article exposes the real cost of shipping ignorance at speed—and why documentation is the wrong problem to focus on.
WakaWiki is an agent-driven CLI that keeps your codebase documentation perpetually fresh. But the real breakthrough isn’t automation — it’s using AI-written docs as a bridge for human-AI collaboration, making your codebase a more teachable environment for future tools. The catch? Trust. Can you rely on an AI that might hallucinate?