In my latest O’Reilly Radar piece, I dig into:

➡️ 𝙒𝙝𝙮 this deep integration is so powerful for developers

➡️ 𝙒𝙝𝙚𝙧𝙚 it creates massive security and compliance risks

➡️ 𝙒𝙝𝙖𝙩 enterprises are already doing to adapt

Until we build better guardrails, MCP puts organizations in a tough spot: boost AI productivity, or lock things down for security.

📖 Read the article here:
👉 https://www.oreilly.com/radar/mcp-introduces-deep-integration-and-serious-security-concerns/

We’ll dig into how to take control of that process so the AI is working for you, not the other way around.

✅ Attend free with a 10-day O’Reilly trial
✅ Or check if your company already pays for access

See you tomorrow. Let’s make these tools work for you.

…it’s about how you actually use these tools in your day-to-day work, when you need to get real code written.

We’ll talk about 𝙝𝙤𝙬 𝘾𝙝𝙖𝙩𝙂𝙋𝙏 𝙖𝙣𝙙 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙢𝙤𝙙𝙚𝙡𝙨 𝙧𝙚𝙖𝙡𝙡𝙮 𝙬𝙤𝙧𝙠, and how knowing that changes the way you prompt Copilot.

Your code is part of that prompt. The names you use, the structure, what you just edited—Copilot is looking at all of it when it makes suggestions.

We’ll explore all of that, and more—how to guide AI, shape the output, and make sure it’s helping you write code you’re proud of.

✅ Attend free with a 10-day O’Reilly trial
✅ Or check if your company already pays for access

See you tomorrow. Let’s make these tools work for you.

We’ll dig into 𝙝𝙤𝙬 𝘾𝙝𝙖𝙩𝙂𝙋𝙏 𝙖𝙣𝙙 𝙡𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙢𝙤𝙙𝙚𝙡𝙨 𝙧𝙚𝙖𝙡𝙡𝙮 𝙬𝙤𝙧𝙠, and how you can use that deeper understanding to get the most out of GitHub Copilot.

Because your code is the prompt. Your names, structure, and recent edits all influence Copilot’s suggestions.