Your AI Assistant Needs a Bodyguard

AI is writing code faster than we can review it. This isn't a feature, it's a bug, and it highlights a growing anxiety in development: we're losing control.

Your AI Coding Assistant Just Got a Digital Bodyguard

The rise of powerful code-generating agents creates a new problem: how to keep them from going rogue on your codebase.

AI is writing code faster than we can review it, creating a new kind of technical debt. VibeKit CLI is a direct response to this problem, acting as an open-source safety layer for AI coding agents. It wraps agents like Claude and Gemini in a secure sandbox, letting them write code and install packages without giving them the keys to your entire development environment.

The real story here isn't just a new tool, but a necessary market correction. The 'vibe coding' trend, celebrated for its speed, glosses over the immense risk of letting autonomous agents operate on a live codebase. VibeKit signals a shift in focus from pure capability to security and observability. It admits that while these agents are powerful, they aren't trustworthy on their own, and we need to build guardrails to manage them responsibly.

This is for any developer using AI assistants. The promise of automated pull requests is tempting, but the risk of a rogue operation is real. VibeKit provides the telemetry and control needed to experiment safely, turning AI from a chaotic force into a disciplined teammate. It's the start of AIOps becoming a real, and necessary, discipline.

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The AI Plumbers Are Here

While everyone is distracted by the latest models, the real action is in the infrastructure being built to make AI actually usable.

mcp-use: The universal remote for your AI agents

This open-source SDK lets agents talk to real-world tools, breaking them out of their digital sandboxes. This is about moving from toy agents to real, automated workflows that can interact with enterprise systems.

Autumn: Finally, billing that understands AI

It simplifies the nightmare of usage-based pricing for AI startups, which is a huge engineering bottleneck. This lets teams focus on building the product, not the payment plumbing that supports it.

Your Side Hustle Just Got an Upgrade

A new wave of tools is moving beyond simple links to create direct monetisation channels for creators and online stores.

Bio Calls: Turn your link-in-bio into a booking page

This tool lets experts and creators monetise their time directly through 1:1 calls from their social profiles. It's about turning followers into clients with as little friction as possible.

Kandid: The 24/7 AI sales rep for your online store

This isn't another dumb chatbot; it's a consultative AI trained on your products to guide shoppers. It’s a move toward conversational, personalised e-commerce that actually drives conversions instead of just answering FAQs.

Quick hits

Reeroll: The AI video editor that works via chat
It promises to kill the complexity of video editing, turning a simple chat conversation into a ready-to-publish short video.

Whispering: A dictation app that keeps your secrets
This open-source tool transcribes your voice locally, so your sensitive meeting notes or brilliant ideas never hit the cloud.

DownMark: The one-click web-to-Markdown converter
It intelligently strips the clutter from web articles, giving you clean, perfectly formatted text for your notes in Safari.

My takeaway

We're finally getting past the initial magic of AI and asking the hard questions about how to use it safely and reliably.

The initial hype was about what AI could generate, from code to images. Now, the focus is shifting to the less glamorous but essential infrastructure needed to control it. This includes security guardrails, billing systems, and interoperability protocols.

This maturation is creating a new divide between those who just use the magic trick and those who build the stage. As these tools become standard, the advantage will go to those who understand the plumbing, not just the performance. The real question is no longer just 'what can it do?', but 'how does it work?'.

What part of the stack are you focusing on: the magic or the machinery?

Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().