Service Overview
Agentic Developer Relations is the discipline within Developer Relations responsible for ensuring that AI coding agents and autonomous AI systems can successfully integrate with, consume, and represent a platform accurately.
Your developer community has a new member. It does not attend your conferences or read your blog, but it touches every integration your platform hosts, and it makes a decision about your platform on behalf of every developer who asks it to write some code. Most DevRel programs have no visibility into what that member sees or how often it fails. I coined the term Agentic Developer Relations and wrote the framework for it. This service brings that framework into your organization.
The human track of Developer Relations does not go away. Conferences, office hours, community, and honest content become scarcer and more valuable as generated content floods the channels. The agent track runs alongside it, and the two share one goal: developers who choose your platform, stay, and tell other developers.
Signals You Need This
- Developers report “it didn’t work” integrations that never appear in your support queue, because the AI tool silently generated broken code and the developer moved on
- Buyers now evaluate your platform by asking an AI assistant to build a proof of concept instead of assigning an engineer for a week
- Your documentation is written for humans who navigate, not for agents that retrieve sections as context and amplify every gap into an integration failure
- Your SDK’s error model and schemas are readable by people but not parseable by agents
- Tacit integration knowledge lives in a few DevRel heads and leaves with them
- Engineering wants evidence before investing in platform ergonomics, and “developer sentiment” is not evidence
What’s Included
- FAISR baseline. Of all integrations generated by AI coding tools using your published materials as context, what percentage produce working code without manual correction? I measure it across the major coding agents, per integration task, and against your closest competitor.
- Agent-readiness audit of documentation, SDKs, error models, schemas, and sample code, with a prioritized fix list engineering can act on.
- Prompt-recipe library. Validated, versioned recipes for your most common integration tasks, with coverage and freshness tracking so they do not rot when the API changes.
- Measurement model the board can read: FAISR, the Amdahl ceiling (how much of integration time is stuck at human speed), recipe coverage, recipe freshness, and competitive FAISR delta.
- Agent Champion role design: the job description, hiring rubric, and operating rhythm for the person who owns this after I leave.
- Human-facing DevRel when you need it: DX audits, content strategy, conference programs, community building, and DevRel team design. I led DevRel at JetBrains and Rocket and still ship architecture.
How It Works
Week 1: Diagnostic
Identify your ten most common integration tasks, write the prompts a typical developer would use, run them through at least two AI coding tools, and score the output. You get a FAISR baseline and a ranked list of where agents fail, in writing, in one week.
Weeks 2 to 12: Program
Fix the highest-leverage documentation and SDK gaps, build the recipe library, instrument the measurements, and stand up the Agent Champion role. Human-track work (content, community, events) runs in parallel where it is in scope.
Handoff
Your team owns the recipe library, the dashboards, and the operating rhythm. I step back to a light advisory cadence or out entirely.
Engagement Models
- Diagnostic only. The week-one exercise as a fixed-fee engagement. Right for teams that need the number before they can get budget.
- Fractional program lead. 4 to 12 hours per week for a quarter, building the program and the role. Right for a mid-size platform with an existing DevRel team.
- Team design. For large platforms: the multi-person structure, the roles, the metrics, and the first ninety days, delivered as a plan your VP can hire against.
- Advisory. A standing monthly session for teams running the program themselves.
Why Work With Me
I named the discipline. The frameworks, the 37 DevRel activity patterns reframed for the agent era, the new roles, and the measurement model are published at agenticairelations.com and I keep them current.
Co-author of Developer Relations Activity Patterns (Apress, 2026) with Ted Neward, Scott McAllister, and David Neal: the systematic catalog of what DevRel actually does.
Practitioner, not analyst. Developer advocate at JetBrains, DevRel lead at Rocket Mortgage, founder of EcoSynt (agent ecosystem health and observability built on OpenTelemetry conventions), and an architect who still reads the code.
Measured, not vibes. Every recommendation ties back to FAISR or the Amdahl ceiling, so engineering and the board can see what changed.