Speaker kit
Book Lee to speak
Talks, workshops, and livestreams for developer audiences — APIs, developer experience, AI tooling, and building in public. Bios, headshots, and abstracts below, ready to lift.
Bios
Three lengths, ready to paste
Lee Flannery is a Developer Relations Engineer who helps developers ship faster — creator of Full Stack Drip.
Lee Flannery is a Developer Relations Engineer and the creator of Full Stack Drip, where he ships videos, essays, and reference apps that take developers from idea to production. He has shipped software used by millions and builds everything in public.
Lee Flannery is a Developer Relations Engineer who has shipped software used by millions. He runs Full Stack Drip, a DevRel media brand spanning YouTube, essays, and open-source reference apps, and consults through Release Mode LLC as a fractional DevRel lead. Lee specializes in friction hunting — being the first customer for APIs and SDKs, documenting the sharp edges, and turning them into product feedback — and in reference implementations developers actually clone. He teaches live through office hours, workshops, and streams, and believes adoption comes from removing friction, not adding noise.
Headshots
High-res, org-chart safe
Abstracts
Talks I'm ready to give
Each adapts to your audience and time slot. Custom topics welcome — these are starting points, not a fixed menu.
Friction hunting: be your API's first customerdraft
talk · 30-45 min · devrel / dx
Your quickstart is lying to you. This talk shows how structured friction logs — recorded while genuinely building with your own platform — turn vague developer complaints into a prioritized product roadmap, with real examples of papercuts found, filed, and fixed.
Reference apps developers actually clonedraft
talk or workshop · 30-90 min · devrel / education
Most sample apps are demos in a trench coat. This session covers building reference implementations with real architecture, real docs, and real failure modes — and how 'clone, run, learn' beats 'watch, nod, forget' for driving adoption.
Building a multi-agent system in publicdraft
talk · 30-45 min · ai / mcp
Lessons from Morning Agents, an open-source Python multi-agent briefing system using TypeScript MCP servers over stdio with Pydantic contracts: what worked, what fought back, and what shipping it in public taught me about how developers evaluate AI tooling.
Booking
Tell me the audience, the format, and the date. I'll confirm within 48 hours with a tailored abstract and anything else your CFP or marketing team needs. Remote or in-person.