documentation
documentation on Beyond Market Intelligence: a running collection of 7 stories we have gathered and hand-picked because they are worth your time. Every post here touches on documentation in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around documentation, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Blume: Zero-Config Docs Framework That Turns a Markdown Folder into an AI-Ready Website
Streamline your documentation workflow with Blume, an open-source framework transforming Markdown folders into AI-ready websites. Built on Astro and Vite, Blume delivers a complete documentation site with zero configuration—requiring only Node.js and a single Markdown file to begin. Enjoy automatic SEO features, document testing tools, and seamless migration from existing systems. Blume empowers teams to build and maintain robust documentation effortlessly. For further insights into optimizing data handling, explore our article, "Presentation: From S3 to GPU in One Copy."
The AI visibility gap: Why great brands disappear from AI answers
The rise of AI search tools is fundamentally reshaping brand visibility. Traditional ranking metrics are becoming less relevant as buyers increasingly rely on synthesized answers delivered directly within AI interfaces – a world of zero-click searches. To thrive, brands must shift focus from simply appearing in search results to becoming integral components of those AI-generated responses. Contentful’s new report, "The AI Visibility Gap," explores how structured, consistent knowledge empowers brands to gain prominence in this evolving landscape. Learn more at Contentful.com.
Cloudflare Turns Engineering Standards Into an AI-Enforced Control System
Cloudflare is redefining engineering standards with an AI-enforced control system, moving beyond passive documentation to actively guide the software development lifecycle. This innovative approach ensures consistent adherence to best practices across teams and projects, significantly improving code quality and developer efficiency. Cloudflare's implementation exemplifies a progressive shift towards AI-driven operational excellence. For further insight into the broader AI data landscape, explore our recent article on Micro1’s impressive growth amidst the AI training boom.
Online list of Excel functions disappeared
A key resource for Excel users—Microsoft's online catalog of functions—has unexpectedly disappeared. Previously accessible at support.microsoft.com/en-us/excel/excel-functions-alphabetical, the page now returns a 404 error. This change impacts users seeking quick function references and troubleshooting assistance. While the reason for the removal remains unclear, our team is tracking the situation. For those grappling with related spreadsheet challenges, explore our article "Trying to count number of times that appear in list" for practical formula guidance.
The Ultimate Guide to Contributing to Open Source Projects
Ready to contribute to open source but unsure where to start? This Ultimate Guide demystifies the process, covering everything from identifying responsive projects to mastering essential Git mechanics. We'll walk you through the realities of open-source contribution, ensuring your efforts are productive and welcomed. Discover how to effectively engage, navigate workflows, and make a meaningful impact. For a deeper dive into leveraging AI coding assistants, see our article, "How to Effectively Deploy Code With Claude Code."
Do Legacy Organizations/Government Have More AI Talent Than AI Problems?
Many organizations, particularly legacy institutions and government entities, possess significant AI talent but face a surprising bottleneck: a lack of foundational data maturity. Discussions often leap to advanced AI solutions like RAG and agent frameworks before addressing core issues—data accuracy, governance, and accessibility. Before pursuing autonomous agents, establishing reliable data pipelines and answering fundamental questions about data origins and ownership is critical. As explored in "Stop Graphing Everything," even seemingly advanced techniques benefit from a solid data foundation.
Achieving Compliance as a Platform Engineering Team by Helping Developers
Platform engineering teams face a critical challenge: achieving compliance without hindering developer productivity. Early attempts relying on forced workflows often backfire, diminishing developer experience. Ben Linders’ article details a successful strategy prioritizing simplification, incremental rollout, and clear communication through prevention, detection, and ongoing feedback. Empathy and a shared purpose proved vital for adoption. For deeper insights into the broader AI landscape supporting these efforts, explore “Google justifies its massive AI spending with a booming cloud business.”