Developers are no longer a niche group. In today’s market, they are essential to how new technology is built, refined, and deployed. Large language models may generate content, but it’s developers who decide how that output is shaped, integrated, and scaled across systems. The companies moving fastest in AI understand this. They are not just releasing new tools—they are investing in developer relationships through hands-on events, technical content, and real-time product feedback.
But developer marketing isn’t the same game as marketing to your average consumer. Developers don’t need another landing page, booth, CTA, or explainer video. They want something they can run, break, remix, and ship, and decide for themselves whether it holds up.
That’s where many efforts fall short. Developers are quick to dismiss anything that feels vague, slow, or overly polished. Credibility depends on usefulness and transparency, not production value.
That context matters when looking at how developer marketing is evolving—and why getting it right is more critical than ever. Here’s what we’re seeing in the market as we work with Qualcomm, Salesforce, Meta, and Google to reach worldwide builders:
AI is powerful, but imperfect
AI adoption among engineering teams has exploded, with 90% of developers now using AI tools—up from 61% just a year prior. Productivity gains are real (25–100% faster coding), but so are hidden costs. A recent study found senior developers using tools like Cursor became 19% slower on complex tasks due to prompt tuning, debugging, and reviewing AI output—despite believing they were more productive overall (Business Insider).
Technical debt: accelerated, not resolved
Generative AI accelerates delivery—but often without guardrails. McKinsey and Virtasant warn AI can inflate technical debt unless systems are designed with human oversight and engineering rigor. Reddit communities are even blunter: “Now they can generate garbage faster and have little incentive to clean it up.” Studies confirm that while AI helps spot code smells and automate fixes, it lacks contextual judgment—a uniquely human trait (CIO).
Hybrid model is the future
AI will not replace developers. It will elevate them. GitHub’s CEO says “the smartest companies will hire more engineers, not fewer,” as AI accelerates production but also adds cognitive load and integration complexity (Business Insider). Atlassian found AI saves developers 10+ hours a week, yet coordination inefficiencies cancel much of that gain—with 63% saying leadership doesn’t understand their working reality (ITPro).
Real World Proof: Developers Drive AI Impact
Two decades of working with the world’s top tech companies has refined our approach: connect with developers on their terms, earn trust through working code, and share what matters. Recent projects include:
Qualcomm Snapdragon: proof on the edge
For Snapdragon Summit, we developed on-device AI experiences using the new Snapdragon X Elite chip.
GitHub Copilot: the transparency test
Rather than hype AI productivity claims, we created a competitive team-based game, played in partnership with GitHub Copilot.
Real-World Proof: Developers Drive AI impact
Illumend for myCOI
We partnered with insurance compliance leader myCOI to build Illumend, an AI-first product transforming certificate verification.
Google XR at CES
We built one of Google’s first geospatial browser-based AR activations using their new GEOS API.
How to reach developers