Field notes, primers, and case-tested patterns from Rangle on agentic systems, design systems, frontend, and AI strategy.
Showing 1–9 of 9 posts
Agentic AI is software that pursues goals across multiple steps using tools, planning, and judgment. What it is, how it works, when to use it, and when not to, from a team that builds it for enterprise clients.
Agentic AI
73% of enterprises exceeded their AI cost projections this year. The fix isn't rationing tokens. It's changing what you use them for.
Agentic AI
Anthropic analyzed 400,000 AI coding sessions and found that domain experts succeed almost as often as software engineers. Here's what that means for operations, marketing, and business leaders who haven't considered vibe coding as an option.
Agentic Product Engineering
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
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 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
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
Your CMS shouldn't require a vendor's permission to evolve.
Escape CMS & Commerce Lock-In
Agentic development is 2-4x faster. We price it that way. Most consultancies wouldn't. Faster delivery at the same rate means more margin. But we'd rather align incentives from day one than have clients wondering whether we're padding timelines.
Launch New Products