📖 Start here: www.oreilly.com/radar/the-se...

📘 Or dive into the full O’Reilly report (free trial available): learning.oreilly.com/library/view...

#AI #SoftwareDevelopment #CriticalThinking #SensAI #OReillyMedia

Together, these pieces build the 𝐒𝐞𝐧𝐬-𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: five habits that help developers stay creative, stay skeptical, and stay in control: Context. Research. Problem Framing. Refining. and Critical Thinking.

Across the series, I explored how to:

* Avoid AI-driven technical debt
* Recognize and fix context drift
* Frame problems clearly for better AI results
* Keep critical thinking at the center of your workflow

What started as one article about breaking out of “vibe coding” turned into a full exploration of how developers can use AI tools like Copilot, ChatGPT, and Claude *without losing the skills that make great engineers great.

✅ Problem Framing – Define problems AI can actually solve
✅ Refining – Iterate deliberately, not by trial and error
✅ Critical Thinking – Judge AI output and make smarter calls

It’s available now on O’Reilly Learning (free trial available):

🔗 learning.oreilly.com/library/view...

…or you’ve wondered how to help your team think more effectively with AI, this is what I built Sens-AI to fix.

Here’s what it covers:

✅ Context – Give AI the information it needs to help you
✅ Research – Deepen your understanding instead of just accepting answers

The report introduces the Sens-AI Framework—five practical habits that help developers break free from “vibe coding” and actually solve problems with tools like Copilot, ChatGPT, and Claude.

If you’ve ever hit that point where the AI keeps looping on the same bad idea…

• Question and refine AI output instead of accepting it as-is

I think this shift — from specialists to adaptable generalists — is one of the biggest changes happening in software right now.

📖 Read the new Radar piece:
👉 www.oreilly.com/radar/ai-is-...

The developers thriving with AI tools today are the ones who can:
• Recognize when generated code will cause maintenance issues
• Integrate across systems without being deep experts in each
• Spot architectural patterns and antipatterns early
• Frame problems clearly so AI can respond effectively
…

Now, AI can generate idiomatic code across every framework. What it can’t do is spot design flaws, anticipate maintenance headaches, or recognize when the system itself is heading for trouble.

A decade ago, deep specialization was the path to credibility. You were the “React person,” the “.NET expert,” the one everyone turned to for a specific technology or even a niche library.

Classic "it's not X; it's Y" AI tell

In my new @oreilly.bsky.social Radar piece, I look at how these habits can shape education, team culture, and even future IDEs that notice when you’re caught in a rehash loop.

📖 Read: www.oreilly.com/radar/from-h...

Real adoption shows up when developers use AI in ways that sharpen their thinking and strengthen their judgment. That’s why I built the Sens-AI Framework—five practical habits that help developers stay thoughtful and deliberate while using AI.

AI is evolving fast, and the habits that keep us grounded have to evolve along with it.

📖 Read: www.oreilly.com/radar/from-h...

That’s what I explore in my latest @oreilly.bsky.social Radar piece, From Habits to Tools. The best developers I’ve seen stay connected to their code by using five habits—context, research, framing, refining, and critical thinking—to keep learning even as AI gets stronger.

These aren’t just nice-to-have habits. They’re how we make sure AI strengthens our craft instead of hollowing it out.

📖 Read it here: www.oreilly.com/radar/from-h...

In my new O’Reilly Radar piece, I look at how developers can use AI without losing their edge, and how the Sens-AI Framework’s five habits—context, research, framing, refining, and critical thinking—help teams stay engaged instead of letting their skills atrophy.