Not sure how long this will last, so check it out if you want to burn some free tokens.

"We need AI to build faster. But AI still needs us to guide it." "The fear that AI will replace developers? It’s only half-true. AI will replace those who refuse to learn how to use it effectively. But the ones who understand both technology and AI who grasp architecture and can also accelerate with LLMs won’t just survive; they’ll thrive." https://dev.to/naresh_82de734ade4c1c66d9/vibe-coding-vs-professional-coding-a-developers-honest-take-5f16

This article breaks down what happens when everyone starts generating APIs with AI. Turns out you can build them in minutes now, but then you get these "shadow APIs" everywhere with no documentation or security review. The governance strategies they mention are actually pretty practical - especially the CI/CD automation stuff. Good reminder that speed isn't everything. https://devops.com/what-happens-when-ai-starts-writing-your-apis/

A16z partner Martin Casado just dropped a truth bomb: software engineers who spent decades disrupting other industries are now being disrupted by AI. https://www.businessinsider.com/andreesssen-horowitz-partner-martin-casado-ai-disrupting-software-engineers-2025-9 While traditional programmers are scrambling to adapt to AI tools like Cursor and Claude Code, you're starting fresh with vibe coding as your foundation. No old habits to unlearn. Casado said it's "fun to actually be the disrupted for a change" - but here's the thing: you're not the disrupted. You're the disruptors. Question: Do you think starting your coding journey WITH AI (instead of having to adapt to it) gives you an advantage over traditional programmers? Why or why not? Drop your thoughts below 👇

In the world of AI hype, it's easy to lose sight of what really matters. This piece cuts through the noise and highlights how sensible, human-centric AI is already making an impact. https://www.cio.com/article/4049933/what-ai-tools-actually-deliver-versus-the-hype-machine.html What’s Working: - AI That Speeds Us Up Whether you're reviewing contracts, processing invoices, or scanning applications, AI is helping professionals cut tasks that once took 30 minutes down to just 30 seconds. That productivity boost is the real win. - Designed for Humans, Not Replacements The best tools empower people, offering support—not sidelining them. They augment decision-making and keep human oversight central to the process. - Built with Trust in Mind Success isn’t just about flashy features. It’s about strong foundations: compliance, enterprise-grade security, and thoughtful design that respects data and privacy. Smart Questions to Ask: Before adopting any AI tool, ask yourself—and vendors—these: - What outcome are we really trying to achieve? - How is AI involved in the process? - Are we using off-the-shelf models or building our own? - How is data security enforced? - Who owns the data and how is it stored? - What safeguards are in place to prevent misuse or bias? These are the markers of thoughtful, responsible implementation. More Than Tools: Building AI Fluency Effective AI isn’t plug-and-play—it requires people who understand it. Most organizations recognize this: - Only a sliver consider themselves mature in AI deployment. - Nearly half of employees want more training and support. The game-changers are those who invest in AI literacy across the board—from coders to customer success to finance teams. TL;DR: Effective AI enhances human work, doesn't replace it. The real differentiators are outcomes, trust, and organizational readiness—not flashy features. To benefit, start with goals, build responsibly, and train your people.