Joshua Poddoku

Open Source Technology Evangelist | DevRel | Turning conversations into contributors, AI-assisted and human-led

Find me on:

Joshua Poddoku on XJoshua Poddoku on BlueskyJoshua Poddoku on YouTubeJoshua Poddoku on the SustainOSS forumJoshua Poddoku on PatreonEmail Joshua Poddoku at ask@joshuapoddoku.com

A recurring question I encounter in various workplaces is this: when a business opens its source, what does it take for a community to follow? I’ve noticed that the issue often lies beyond the code itself. People select tools based on their features but remain engaged due to additional benefits: clear rules, documented guidelines, a transparent vision, and a welcoming community. Unfortunately, these aspects are often sacrificed for the sake of speed, making them challenging to restore later.

My focus this Q4, 2026 - We’re seeing a surge in AI-generated code, pull requests, and issues, raising the barrier to human contribution at the point when most Open Source projects can least afford to lose people. I leverage AI frequently, primarily to support contributor dashboards, onboarding, and reviews. These reviews prioritize teaching over rejection. The initial engagement remains human-led.

• The Contributor Ladder: Surface → Builder → Steward, and where attention pays off
• Community Signals: how Open Source talks about AI-written code, updated every 12 hours

Tracking · updated Sep 15, 6:17 AM UTCCurrently, the sentiment regarding AI-generated code shows Pushback on Bluesky (17) and Wary on Hacker News (32). This scale ranges from 0 for pushback to 100 for enthusiasm, based on everything I’ve tracked so far. AI-assisted, human-led. How I track it

If you’re building an Open Source project and want contributors, not only stars, let’s talk.

Book a callSee how I workor email ask@joshuapoddoku.com