The AI Honeymoon Is Over

We're finally seeing the hidden cost of moving fast and breaking things with AI. The bill is coming due.

Your AI-Generated MVP Works, But You’re Terrified to Touch It

The speed of AI-assisted development is creating a new problem: functional, fragile codebases that founders are scared to modify or refactor.

AI lets you build an MVP at lightning speed, and it even works. The problem is, you're now terrified to touch a single line of the code. This isn't an isolated anxiety; it’s a shared fear bubbling up among founders that the velocity gained from AI comes at the cost of a codebase that is fundamentally brittle and obscure.

The trade-off is becoming painfully clear. We're getting speed in exchange for higher complexity, more defects, and gaping security vulnerabilities. AI optimises for the next line of code, not for a coherent system architecture, creating a 'black box' that works until it doesn't. This isn't just technical debt; it's a hidden drag on innovation that makes future features, debugging, and even onboarding a nightmare.

The uncomfortable truth is that AI is a brilliant assistant, but a terrible architect. Its output should be treated as a first draft, not a finished product. The developer’s role is shifting from writing code to aggressively curating it, demanding rigorous human oversight, and strategically refactoring from day one. Leveraging AI for speed is smart, but outsourcing architectural integrity is a mistake you'll pay for later.

Read more →

Tools With Brains

The AI co-pilot is getting smarter and more specialised.

Foundire: Your hiring team just got an AI sidekick.

An AI that puts first-round interviews on autopilot, from sourcing to scoring and even offering an in-ear 'copilot' during live calls. This is about offloading the repetitive grind of hiring to focus on actual human connection.

Creaibo: An AI ghostwriter with a personality upgrade.

This tool promises to help you scale your unique voice, not just generate generic content. It’s a signal that the next frontier for AI isn't just volume, but authentic, personalised style.

StrideIQ: A personal AI running coach in your pocket.

Get instant, actionable feedback on your running form by uploading a short video, with all analysis done on-device for privacy. It’s democratising pro-level biomechanics for the everyday runner.

Interfaces With Personality

Meanwhile, our interfaces are getting weirder and more delightful.

Notchie: The teleprompter that lives in your MacBook notch.

This clever Mac app puts a voice-synced teleprompter in your MacBook's notch, solving the 'looking away' problem on video calls. It’s a perfect example of turning a hardware quirk into a productivity superpower.

Travel Map Replay: The ultimate travel brag tool for your feed.

Effortlessly turn your travel routes into cinematic map animations ready for social media. It democratises high-end motion graphics, turning every trip into a visually compelling story.

Wink Cursor: Because your UI should be happier.

A tiny React component that replaces your standard cursor with an emoji that winks on every click. It’s a simple reminder that the smallest details can make an interface feel more human.

Quick hits

Vidcard: Your first impression is now a measurable event.
This physical business card has an embedded HD video player and NFC to track who actually watched your pitch.

Inspiration by Mind Dock: An AI trend compass so you can stop scrolling.
A dashboard that aggregates real-time data from HuggingFace, ArXiv, and GitHub to show you what's new in AI before it's news.

Imajourn: Making complex science feel like a zen garden.
This interactive sandbox turns the physics of sound and waves into mesmerising art you can control with your own voice.

My takeaway

The initial magic of AI-driven speed is giving way to the hard reality of AI-generated complexity.

We celebrated building things faster without asking if we were building them better or smarter. The result is a new kind of technical debt that's not just messy, but actively hostile to future development. This forces a necessary shift from being a code generator to a code curator and architect.

The next wave of great developers won't be the fastest prompters, but the most discerning critics. They will know when to use AI for a first draft and when to build from first principles. The most valuable skill is no longer just creation, but curation.

Are we training developers to be ruthless editors, or just faster typists?

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