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Document as Code in the Age of AI
A Good Idea Whose Time Has Come Document as Code has been around for years. The concept is simple: treat your documentation the same way you treat your code—version-controlled, reviewed, and living right alongside the software it describes. For most teams, though, it's stayed optional. A "nice to have" for disciplined engineering orgs, something that made sense in theory but often fell by the wayside when deadlines loomed. The immediate payoff never quite justified the cultur
Chris McNeilly
7 hours ago6 min read


The Future of Search and the New Citation Economy
This is the final installment in our three-part series examining the transition from SEO to LLMO. Be sure to read Part 1: The Rise of...
Chris McNeilly
Jul 28, 20255 min read


LLMO Strategies for Content Creators: Optimizing for AI Discovery
This is the second post in our three-part series on the evolution from SEO to LLMO. If you haven't read Part 1: The Rise of LLMO , we...
Chris McNeilly
Jul 15, 20254 min read


The Rise of LLMO: Understanding the Shift from SEO to Large Language Model Optimization
This is the first in a three-part series exploring how AI is transforming digital discovery. Check out Part 2: LLMO Strategies for...
Chris McNeilly
Jun 24, 20253 min read


Accelerating AI Roadmaps for First-Mover Advantage
Introduction In today's AI landscape, hesitation equals failure. Organizations that move quickly aren't just gaining advantages—they're...
Chris McNeilly
May 15, 20253 min read


Quality in the AI Age: Evolution of QA in AI-Driven Development
In the era of AI-accelerated development, where teams can generate and deploy features at unprecedented speed, quality assurance must...
Chris McNeilly
Apr 24, 20252 min read
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