The Conductor, Not The Coder
Your job is to orchestrate, not just build.
The job is changing again. AI is moving from being a pair programmer to the project's lead developer.
AI Is Now Building the Entire App, Not Just Assisting It
A new open-source tool that takes plain English to the Play Store reveals the next phase of software development.
An AI co-pilot that builds an entire mobile app from a text prompt is no longer a thought experiment. Crazzy is an open-source toolkit for Flutter that takes plain English and generates full application code, assets, and prepares it for the Play Store. It’s the logical next step in a world where AI moved from finishing our sentences to building our user interfaces.
This isn't about replacing developers; it's about fundamentally changing the job. The value is shifting from the act of writing boilerplate code to the art of architectural design and strategic direction. We're seeing a move from programmer to orchestrator, where the most valuable skill is defining the problem with absolute clarity. The AI can build the house, but it still needs an architect to design the blueprint and a client who knows what they want.
Indie developers and small teams just got a massive speed boost, but the real story is the pressure this puts on product thinking. When building becomes near-instantaneous, the quality of the idea is all that matters. If your prompts are vague and your strategy is weak, you'll just build bad apps faster than ever before.
Building the AI Scaffolding
With AI doing more of the building, a new category of tools is emerging to manage the chaos.
PromptCompose: The command centre for your AI prompts
PromptCompose treats your prompts like code, with version control and A/B testing. It’s the boring, necessary infrastructure that signals a maturing ecosystem.
Orchestra: The all-in-one client portal gets an AI brain
Orchestra bundles client chat, tasks, and AI agents into one workspace. It's a bet that centralising communication is the only way to keep human and AI work aligned.
The Human-AI Interface
Meanwhile, other tools are using AI to solve distinctly human problems, from breaking bad habits to building better relationships.
Extrovert: AI-powered comments to warm up your leads
Extrovert uses AI to help you write thoughtful LinkedIn comments, not spammy DMs. It’s a smart application of AI to augment human connection instead of just automating it.
Hands Off: An AI coach on your desktop that stops you biting your nails
This app uses your webcam and on-device AI to spot and intercept nail-biting in real-time. It’s a fascinating, privacy-first glimpse into how AI can help us break subconscious habits.
Quick hits
RoosterMe: Your friends are your new alarm clock
A social alarm clock that uses wake-up sounds from friends, because shame is a powerful motivator.
TickTag: Time tracking without the cloud surveillance
A minimalist, privacy-first Mac time tracker that uses simple tags and keeps all your data on your machine.
Freshly Squeezed: Batch image processing that just works
Another slick, native Mac app for batch image optimisation that proves good design and a one-time purchase fee never go out of style.
My takeaway
The real challenge isn't building with AI, it's knowing what's worth building.
The market is drowning in AI-powered tools that solve non-existent problems, leading to the burnout everyone is feeling. Tools that build entire apps from a prompt are incredible, but they also make it easier than ever to build useless things faster. The critical skill is shifting from technical execution to strategic discernment.
We need to apply a ruthless filter to every new tool and idea, including our own. This isn't about being cynical, it's about being effective and respecting our own and our users' time. It's the only way to navigate the hype without losing your mind.
So how do you separate the genuinely useful from the beautifully engineered hype?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().