The AI Orchestrator
The job of the future is AI Orchestrator.
The job isn't about writing code anymore. It's about telling robots what code to write, and which robots to ask.
An AI Pair Programmer Demands a New Kind of Coder
Six months with an AI code editor reveals the real job isn't writing code, it's managing the AI that does.
A developer spent six months building a production app with Cursor, an AI-powered code editor, and their key lesson had nothing to do with speed. The real change was a new workflow they call 'vibe coding'. It’s a complete shift from writing code line-by-line to guiding a junior developer that just happens to be an AI.
The real story is that the developer's job became 'AI orchestrator'. The most important work moved to the very beginning: crafting detailed plans, READMEs, and unit tests to give the AI context for the entire project. Get that right, and the AI can handle the grunt work of boilerplate, refactoring, and debugging. The human provides the architectural vision; the AI handles the implementation.
This isn't a threat, it's a new paradigm. The core skill is no longer typing syntax but communicating intent and strategy to a machine. Developers who master this collaborative dance—acting as a manager for their AI partner—are the ones who will build things faster and better than anyone else. Your value is your vision, not your velocity.
The AI App Store Has Arrived
The best AI tools are starting to feel less like blank canvases and more like specialised toolkits.
ClaudeSkillsHQ: Your AI gets a PhD, instantly
This turns generalist models into specialists on demand. It signals a major shift towards an 'app store' model for AI, making enterprise adoption look less like a science project and more like a software install.
JDoodle.ai: The AI dev that also fixes its own bugs
Packaging an entire dev environment with AI is smart, but promising free automatic bug fixing is the killer hook. This directly addresses one of the biggest time-sinks in development and makes the platform incredibly attractive.
AI That Games Human Systems
Meanwhile, other AI agents are getting dangerously good at navigating messy human platforms.
Scaloom: An AI agent that builds your Reddit reputation
This automates the one thing that was supposed to be un-automatable: trust. It's either a brilliant growth hack for navigating hostile platforms or the beginning of the end for authentic online communities.
Chatter: Find the Redditors who are actually right about stocks
This tool cuts through the noise of meme-stock chaos to find the actual signal. It's a fascinating use of AI to turn a sprawling, chaotic forum into a ranked leaderboard of financial prophets.
Quick hits
Jira Customer Feedback Portal: Atlassian finally closes the feedback loop
This brings customer ideas directly into Jira, ending the era of feedback getting lost in spreadsheets and Slack threads.
Noro ADHD Planner: An AI that translates brain-dumps into plans
Designed for neurodivergent minds, this app turns chaotic thoughts into structured to-do lists without the usual guilt trip.
The Map of Human Ideas: A Google Maps for human genius
This beautiful side project visualises 250 of history's biggest ideas on an interactive map, showing how progress is globally connected.
My takeaway
We've officially moved from using AI tools to managing AI teams.
The most valuable skill is no longer prompt engineering a single model, but orchestrating a fleet of specialised agents and human experts. This demands a new mindset where we act as strategic conductors, not just players in the orchestra. The value is shifting from pure creation to intelligent delegation and synthesis.
This creates an immediate need for tools that manage the AI managers. It also forces a bigger question about our own roles when technical execution is fully commoditised. What does a career path look like when your only job is to direct a team of non-human intellects?
How much of your job could you delegate to an AI agent right now if you had the right interface?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().