April 7, 2026
Clippy got a glow‑up
Developer relations after the cheat code machine
DevRel vs the “cheat code machine”: Teachers out, or guides needed more than ever
TLDR: AI code tools are replacing “how-to” lessons, pushing developer education toward teaching judgment and workflow. The community is split: some say DevRel is done, others say it’s evolving into guide-for-hire for the AI era—important because it shapes how people actually learn to build reliable software now.
Developers are calling today’s AI tools a “cheat code machine,” and the crowd is split on what that means for people who teach coding. The essay says course sales are slumping because folks can now ask an AI to spit out code and feel like progress is happening. Cue drama: one side is cheering “good riddance to pricey tutorials,” while the other says humans still need humans to teach judgment—what to trust, what to double-check, and when that “working” code is actually cursed.
Commenters lit up with takes about what developer relations (the folks who teach and guide devs) should be now. The boldest claim? DevRel isn’t dead—it’s becoming a travel guide for the wild new AI frontier. Fans say they want creators who show their real process on YouTube and Twitch: where they let the bot help, where they slam the brakes, and how to catch those “looks right but totally wrong” moments. Cynics clapped back that courses were mostly rebranded docs you could get for free on MDN—now the AI does that too. Jokes flew fast: “Pay tokens, not tuition,” “Press Run to summon a senior engineer,” and “LLM = Looks Like Magic… until it ships bugs.” The mood? Messy, loud, and very online.
Key Points
- •Educators and technical content creators report softer engagement and course sales.
- •Software output is increasing, but learners’ needs are shifting from API knowledge to work practices.
- •Courses historically delivered a “way of working” beyond surface-level tool instruction.
- •AI coding tools reduce perceived value of traditional API-focused courses and shift learning toward judgment and workflows.
- •Live formats like coding streams and YouTube content remain valuable by showing how to use and verify AI outputs.