We rebuilt rangle.io for agentic search. Here's what we learned.
Five weeks of buildout, 850 pieces of content off Sanity, one engineer plus Claude. What rebuilding rangle.io for agentic search taught us.
Escape CMS & Commerce Lock-InBlog
Field notes, primers, and case-tested patterns from Rangle on agentic systems, design systems, frontend, and AI strategy.
Showing 1–12 of 502 posts
What the EU AI Act Actually Means for Product and Engineering Teams
Your team shipped an AI feature and someone asked if it's EU AI Act compliant. Here's how to figure out if it applies to you, what you'd actually need to build, and how long you have.
Ship AI Features
The $265 Billion Question Your SaaS Vendors Can't Answer
Private credit defaults are surging in mid-market SaaS. Here are seven questions to assess whether your vendors' AI governance will survive what's coming.
Ship AI Features
Design Tools in the AI Era: What Actually Changed
Design tools used to compete on features. Better prototyping. Smoother collaboration. Faster rendering. That race made sense when design was a human activity and the deliverable was pixels on a screen.
Ship AI Features
Making Your Design System AI-Ready: What We've Learned & FAQ
An FAQ from the Rangle design systems team on making design systems AI-ready—covering documentation strategies, semantic token naming, MCP servers, validation feedback loops, and practical guidance on bridging design systems with AI coding tools like Copilot, Cursor, and Claude.
Scale Design
What is an Agentic CMS?
Your CMS shouldn't require a vendor's permission to evolve.
Escape CMS & Commerce Lock-In
The Future of SEO in 2025: AIEO, GEO, and the Rise of Answer Engines
Search engines now use AI to answer questions directly, often without sending users to your site. This comprehensive guide covers Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)—two complementary strategies for appearing in AI-generated answers, featured snippets, and voice search results.
Why Enterprise Digital Transformations Fail: The Missing Product Definition Phase
Enterprise transformations consistently fail because companies rush from high-level strategy straight into design and development, bypassing the crucial work of defining what they're actually building and why.
Align Product Strategy
How to Protect Your Design System When Using AI Tools
The difference between AI that scales your design vision and AI that erases it? Whether your design system's implicit rules are documented where AI tools can actually read them. Here's how to teach AI what makes your design unique.
Scale Design
The Fast Fashion Era of SaaS: How Agentic Development Disrupted Our Business Model
For over 12 years, our business model has been straightforward: time and materials billing based on developer hours. While others competed on price with offshore teams, we competed on our ability to solve complex problems in highly regulated industries, hitting impossible deadlines time and time again. We became the team enterprises called when they couldn't afford to fail – or when they'd already tried and it didn't work.
Ship AI Features
When Vibe Coding Hits a Wall: A Developer's Guide to the OODA Loop
Vibe coding with Claude can lead to fast code and bad abstractions. Learn how the OODA Loop and interview step improve AI-generated code quality. Part of the 2025 AI Coding Workflow Best Practices Series.
Build Engineering Capability
Why Your Digital Experience Platform Will Fail Without a Monorepo: The Architecture Decision That Makes or Breaks Enterprise Digital Platforms
Most enterprise DXP failures stem from a single architectural flaw: fragmented codebases. A monorepo enforces integration discipline, reduces costs, and enables AI-driven personalization. Without it, your platform is at risk of collapse. If you're responsible for delivering a scalable customer platform, here's why foregoing a monorepo architecture is a strategic liability.
Escape CMS & Commerce Lock-In