How developer experience leaders are using AI agents to transform distribution
Why getting your MCP server on a developer's machine is light years better than fighting SEO wars. Your technology, with all its highly differentiated capabilities, is right there in the agent's context.
Read more →Cloudflare converts your site to markdown for agents. But that's not enough. Your agentic twin is a curated context graph — JSON-LD that speaks the pidgin language agents understand without parsing.
Read more →Protobuf.ai needed AI agents to lint schemas, detect breaking changes, and enforce governance—without manual CLI workflows. We built an MCP server that makes protobuf tooling agent-native.
Read more →SLSA, Sigstore, C2PA — the standards for verifiable software exist. But they were built for humans. AI agents need trust as a tool, not a gate.
Read more →Surprise! Agents don't browse. They are routed. That's a completely different internet model. I ran a protocol experiment that revealed the missing infrastructure layer of the agent web.
Read more →We built an unofficial MCP server for ScyllaDB to prove a point: when AI agents can actually use your database, everything changes. A case study in executable documentation and agentic developer experience.
Read more →GEO vendors are selling "AI optimization." But agents access content through search indexes. It's SEO with a fresh coat of paint. Here's what they don't tell you.
Read more →The agent discovery problem looks a lot like UDDI from 2002. Here's what that history tells us about what will and won't work.
Read more →Traditional PLG metrics don't work when AI agents are your primary users. Discover the new funnel metrics that matter and how to optimize for AI-driven adoption.
Read more →AI agents can't navigate your website. They need a roadmap. Learn how llms.txt is becoming the robots.txt for AI and how to optimize yours for maximum discoverability.
Read more →Forget page views and time on site. When AI agents are evaluating your product, you need entirely new metrics. Learn what to track and how to optimize the AI discovery journey.
Read more →Your engineering team keeps talking about MCP, but what does it mean for your PLG strategy? A plain-English guide to the protocol that's reshaping developer distribution.
Read more →Google SEO is becoming less relevant for developer tools. The new battlefield is AI Engine Optimization (AEO). Learn how to make your product the default choice for Claude, ChatGPT, and Cursor.
Read more →Is investing in AI-native distribution worth it? We break down the costs, timelines, and expected returns based on real implementation data.
Read more →The future of developer marketing isn't content—it's executable experiences. Learn why documentation is dying and how to build AI-first developer journeys.
Read more →Your sales team can't call an AI agent to understand why it chose MongoDB over your database. New strategies for competitive intelligence when machines make the decisions.
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