Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.
This skill is a go-to-market playbook for building and scaling developer-led adoption through ecosystem programs, community, and partnerships. It addresses the problem of stalled developer platforms — nobody building on the API, a community that isn't growing, or competing against larger platforms — by focusing on what actually drives adoption rather than vanity metrics. It is a conceptual framework guide rather than executable tooling.
The content is organized around core frameworks. The open-versus-curated marketplace decision argues for openness backed by discovery, trust signals, community curation, and post-publication moderation instead of submission gatekeeping, with a decision framework for when each approach fits. A three-year student program arc builds a talent pipeline from university partnerships to certification and community to a career bridge. A five-stage developer journey (awareness, onboarding, integration, production, advocacy) is paired with the metrics that matter — time to first API call, percent reaching production, monthly active developers, and developer NPS. Additional frameworks cover a four-tier documentation hierarchy, community-versus-support routing, and partner tiering, each with common mistakes called out. Decision trees help choose open-or-curated and community-or-support paths.
The target users are developer relations leaders, product and platform managers, and GTM teams at API platforms, developer tools, and extensible products pursuing a developer-first motion. Use cases include deciding marketplace strategy, designing developer and student programs, structuring documentation and community, and picking metrics that predict adoption.
Building and scaling developer-led adoption through ecosystem programs, community, and partnerships — deciding open versus curated marketplaces, designing developer and student programs, and choosing metrics that drive real adoption.
Curated works when brand-damage risk is high and you can scale human review across dozens of partners; open plus discovery and trust systems works when there are hundreds or thousands of potential partners and network effects matter more than gatekeeping.
Time to first API call, percentage of developers reaching production, monthly active developers, and developer NPS — as opposed to vanity metrics like raw sign-ups or downloads.
It is conceptual guidance — decision frameworks, playbooks, and decision trees for GTM and developer-relations strategy, not code or a CLI.
Developer relations, product, platform, and GTM teams at API platforms, developer tools, and products with extensibility such as plugins and integrations.
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github/awesome-copilot