#dx

Designing or marketing an API where an autonomous agent could evaluate, integrate, or transact on a developer's behalf — anything that sells or provisions something programmatically.

Planning a launch, an onboarding overhaul, or deciding where the next quarter's developer-marketing budget goes.

Docs served as markdown and OpenAPI with a quickstart that says "hand this spec to your LLM" — and a purchase flow (quote-token, idempotency keys, consent record) an agent can run without over-buying.

A long, honest architecture explainer — WireGuard, NAT traversal, DERP relays — that markets by teaching the mechanism instead of hiding it.

A three-pane API reference with runnable, copy-once code that carries your own test key — the docs are the product tour.

"Engineers who write" as the staffing model, with Dell, NVIDIA, Qualcomm, AMD and Stripe named, sold three ways: a scoped sprint, an embedded documentation engineer, or full ownership.

The team wrote *Developer Relations* (Apress), created the Developer Journey Map that the field now uses as standard, and publishes the State of Developer Relations report.

A named devtools practice covering startup advisory, design for CLIs and SDKs, and developer marketing, with bolt.new, Lago and Whop as clients and 100+ open-source projects behind them.

A Y Combinator-backed docs studio for devtools with Supermemory, Greptile, Reducto and Rootly shipped, agents doing the code verification and humans doing the architecture.

Anthropic's own four-phase guide to building an MCP server — research, implement, review, then generate ten evaluations that test whether a model can actually use it.

Scores SDK docs across the six sections integration actually fails in — installation, quick start, error handling, troubleshooting, examples, best practices — as an HTML report.

GoDaddy and Atlassian both shipped product for the agent-as-user in the same week — the thread graduated from tiny Show HNs to platform roadmaps — while Cerebras showed how quietly sunsetting a free tier burns trust it took years to earn.

For a developer product, the minutes between install and first success predict adoption better than almost any campaign. Here's how to find that path, measure it, and pave it.