The Real Cost of AI Speed
Blind trust in AI is a bug, not a feature.
We're moving so fast with AI tools that we've forgotten to check if we're even on the right road.
Your AI Coding Assistant Is Setting a Trap
Why moving faster with AI can seriously slow you down.
A developer on Reddit shared a cautionary tale that should be required reading for anyone using AI coding tools. Their team was told a project would take two weeks; two months later, they were still bogged down by unexpected issues. The culprit wasn't the AI's incompetence, but their own blind trust in it.
This is the 'approve blindly' trap. AI assistants are brilliant at generating code, but they have zero understanding of your project's architecture, security requirements, or long-term vision. The real story is that we aren't getting 10x faster at writing code, we're just shifting the work from writing to reviewing. And nobody can review code 10x faster. The risk isn't just bad code, it's a mountain of well-written but fundamentally wrong solutions that create massive downstream costs.
This isn't an argument to abandon AI assistants, but a call to treat them like a very fast, very naive junior developer. Guide them, question them, and never, ever blindly accept their work. The most productive developers won't be the fastest typers; they'll be the most ruthless editors.
The New AI Plumbing
While we debate the outputs, a new layer of AI infrastructure is being built right under our noses.
Nexa SDK: Bring AI to the edge, no strings attached.
This is a huge deal for privacy and speed, shifting power from massive data centres to individual devices. It could unlock a new class of truly personal, offline-first AI applications.
Fern: Your API docs and SDKs on autopilot.
This isn't a flashy feature, but it's the kind of practical AI that saves thousands of hours of tedious work. It represents the unglamorous, high-value side of automation.
OpenCode Zen: A VIP lounge for coding models.
Curation is the next frontier for AI. As models proliferate, trusted gateways that pick the best tool for the job become essential infrastructure, saving developers from decision fatigue.
Your Project Brain, Upgraded
A few new tools want to fix the chaos of scattered notes and fragmented workflows.
Integrity: One workspace to rule them all.
This is the logical next step for productivity tools trying to solve context-switching hell. Merging docs, visual canvases, and AI chat isn't a feature; it's a new kind of project brain.
Deamoy: Vibe-code an app in 60 seconds.
This pushes 'no-code' to its extreme conclusion, turning a prompt into a functional app. The challenge isn't just building fast, but building something that doesn't look like every other AI-generated site.
Quick hits
MARK®: The $129 bookmark with a brain.
This AI-powered bookmark for physical books is a fascinating, if expensive, attempt to bridge our analog and digital reading lives.
Onsen: Your AI companion for mental wellness.
An AI confidante for journaling and emotional support, betting that a judgment-free digital friend is what we need for daily mental check-ins.
Linkie: A 'sexier' home for your links.
Challenges Linktree with an unbranded, customisable hub, proving that even in a crowded market, owning your brand identity still matters.
My takeaway
The real skill in the age of AI isn't generating content, it's developing taste.
We have infinite tools that can create code, designs, and text in seconds, but they are all drawing from the same public data, leading to a sea of generic outputs. The ability to guide these tools, to critique their work, and to inject a unique point of view is what will separate great products from the noise. It's the difference between creating and curating.
This isn't about being a better prompter; it's about being a better editor and a more discerning leader. It forces us to clarify our own vision so we can effectively direct the machine. The ultimate competitive advantage is a well-informed, human point of view.
What are you doing to cultivate your own taste and judgment, beyond just learning the tools?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().