Hi AI Futurists,
AI-driven “vibe coding” is reshaping software teams. Senior devs are becoming code reviewers and AI supervisors instead of line-by-line coders, and while it feels like babysitting, many say the tradeoff is faster output and stronger focus on design. Let’s take a look.
Here’s our agenda.
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Top AI news
Coders as digital babysitters
Top 3 selected AI tools
AI in the wild
Best,
Lex Sokolin
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Coders as digital babysitters
Senior engineers are discovering that “vibe coding”—a workflow where AI suggests large chunks of code based on vague human prompts—has shifted their jobs into more of an oversight role. Instead of writing every line themselves, they spend time correcting AI mistakes, shaping architectures, and mentoring juniors on when to trust or discard machine output. While some describe it as “AI babysitting,” many insist it frees them to focus on higher-level design. “It’s like managing a very fast but very inexperienced intern,” one lead developer explained.
The article highlights how this shift is already changing workplace culture. Junior engineers are learning through trial-and-error with AI, while senior devs step in as quality control. Some companies even report productivity jumps because teams can move faster, though there are warnings about hidden technical debt if no one pays close attention. GitHub’s Thomas Dohmke noted, “The most successful teams are the ones who treat AI like a collaborator, not a replacement.”
This transformation raises a larger question: if senior engineers are less about typing code and more about guiding AI, their careers may start to resemble those of architects, teachers, or editors. It suggests a future where productivity depends less on how fast you can produce, and more on how well you can shape messy drafts into lasting work—an echo of the broader human shift from doing to directing.
Takeaways at a Glance:
AI generates large amounts of code from high-level prompts.
Senior engineers now oversee, correct, and guide AI output.
Juniors learn through AI trial-and-error, with mentors stepping in.
Productivity rises, but hidden technical debt is a risk.
Cultural shift: coding becomes more about directing than typing.
What We Think About It:
This is a fundamental shift in engineering roles—coding is no longer the bottleneck, but quality control is. It mirrors past industrial shifts where machines did the heavy lifting, and humans directed. The winners will be teams that balance speed with discipline in review.
What You Can Do Right Now:
Try giving AI tools space to do the “first draft” of your work, whether it’s writing, coding, or brainstorming. Then spend your energy on editing, structuring, and refining—just like the senior developers in the article. This shift can save you time while sharpening your judgment and creativity, because the value is less in producing raw output and more in deciding what’s worth keeping.
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AI in the wild
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1:19 PM • Sep 13, 2025
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