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🤯 AI Agents, UI Magic & Copy-Paste Fails

AI is everywhere this month — plastic AI videos, Google Stitch from prompt to UX, and MCP vulnerabilities.

This week, I’ve been busy trying to build my own use cases into an MCP server. It has been challenging, to say the least, as an MCP server is essentially a stand-alone server that sometimes interfaces with AI.

I believe MCP is an excellent standard, but I am struggling with the proper use cases. It’s great to connect Claude to your SaaS service and query it to find out how many widgets I have. After that, the use case kinda of falls over in my eyes. The real value of MCP is when we can query complete data sets that belong to you.

What I’m building is a Website Pagespeed analysis tool. Essentially, I want to run a https://pagespeed.web.dev/ test three times a day. Then, match this with any changes we are making to the website and plot the data over time. The MCP enables querying all of this data to identify trends and potential optimizations along the way. Currently, when I send two or three tests to ChatGPT, it gives excellent results and feedback, but it is a ton of data and sometimes too much for a prompt.

Anyway, that's what I’m building, and I will keep you updated as it progresses. I will open-source it once it’s working.

The Byte’s Bits

🔓 GitHub Agents Hijacked: Private Repos at Risk via MCP Exploit

🎨 Google Stitch: Design UIs with Just a Prompt!

🤖 Copy-Paste Chaos: Claude's Disclaimer Goes Viral on X

♻️ This is Plastic AI Movie!

🔓 GitHub Agents Hijacked: Private Repos at Risk via MCP Exploit

A newly discovered vulnerability in GitHub's Model Context Protocol (MCP) integration allows attackers to exploit AI agents like Claude Desktop. By injecting malicious prompts into public GitHub Issues, attackers can trick these agents into leaking sensitive data from private repositories.

đź§  Key Takeaways

  • Indirect Prompt Injection: Malicious GitHub Issues can hijack AI agents, leading them to access and expose private repository data.

  • Toxic Agent Flows: This term describes the manipulation of agents to perform unintended actions, such as unauthorized data leaks.

  • Security Tools: Invariant Labs has developed MCP-Scan and Guardrails to detect and prevent such vulnerabilities.

MCP is still not a mature standard and leaves a lot to be desired as best practice software development. As AI agents become more integrated into development workflows, ensuring their security is paramount.

🎨 Google Stitch: Design UIs with Just a Prompt!

I only became aware of the Google Stitch announcement because I was signed up for the AI Tool Gailileo, which is a prompt tool to build user interfaces. Google announced the acquisition of Gailieo this week inline with the Google I/O 2025 conference Stitch is an AI-powered tool that transforms simple text or image prompts into fully functional UI designs and frontend code. Stitch aims to streamline the app design process for both developers and designers.

đź§µ Key Features

  • Natural Language Processing: Describe your app idea in plain English, and Stitch generates the corresponding UI design.

  • Image Input Interpretation: Upload sketches or wireframes to guide Stitch in creating designs that match your vision.

  • Frontend Code Generation: Stitch produces production-ready HTML and CSS code, facilitating a seamless transition from design to development.

  • Theme Customization: Adjust themes, color palettes, and design elements to align with your brand or aesthetic preferences.

  • Figma Integration: Export your designs directly to Figma for further refinement and collaboration.

Stitch is currently available as an experimental feature through Google Labs, but so far, it is very impressive. As a user v0.dev I find that Stitch is a great alternative for building user interfaces.

After a few vague prompts, I could clone Airbnb or Typeform with just a couple of prompts. The barrier to building your next side project keeps dropping. Use Stitch or v0.dev to get started today.

🤖 Copy-Paste Chaos: Claude's Disclaimer Goes Viral on X

A bizarre glitch took over Twitter (aka X) as the phrase "RetryClaude can make mistakes. Please double-check responses." started popping up in completely unrelated posts. Turns out, tons of users were blindly copy-pasting responses straight from Claude AI—without editing out the disclaimer.

 đź«Ł What Happened?

  • Claude Copy-Paste Frenzy: Users pulled responses from Claude and pasted them directly into tweets—disclaimer and all.

  • Unrelated Contexts: From fitness advice to AI debates, the same Claude warning was everywhere.

  • AI Disclaimer Spam: The repetition turned into an accidental meme, sparking jokes about AI over-reliance.

👉 A viral reminder: double-check your AI responses before posting—or risk sounding like everyone else.

Read below some of the great X responses that are using "RetryClaude can make mistakes. Please double-check responses." as part of their Tweets.

♻️ This is Plastic AI Movie!

OK, AI Video has just blown my mind. My Twitter feed was filled with Veo3 videos after Google I/O 2025. However, @MetaPuppet posted this 100% AI-generated movie. The storyline, the different scenes, and the ability to continue building on the characters are unbelievable.

The cute videos with AI just turned into almost movie-quality programs being developed. I predict that an AI movie will be presented at Cannes within the next five years, if the pace of development continues at this rate.

Watch the “This is Plastic” movie and tell me your thoughts below.

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…That’s this week’s newsletter!

-Brian

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