The AI Intern Army Has Arrived
Your job is no longer to write code, but to manage it.
We have spent a year teaching AI to be a helpful pair programmer. Now we are giving it a team and a to-do list.
Your AI Coding Intern Just Got a Promotion
Anthropic's new tool is not a copilot, it is a parallel workforce you deploy from your phone.
Anthropic's Claude Code is now a web and iOS app that lets you delegate coding tasks. You assign bug fixes or feature work, and a virtual agent gets it done in a secure environment. It is designed to understand context across complex, multi-stack codebases and run multiple tasks in parallel.
This is not about generating boilerplate; it is about autonomous execution. We are moving from a one-to-one copilot relationship to a one-to-many conductor model. The real story is the developer's role shifting from writing code to defining problems, reviewing pull requests, and orchestrating a team of AI agents.
Of course, it still needs steering. This tool will not build a unicorn for you, but it can crush your bug backlog while you are on the train. It signals a future where developer productivity is measured by leverage and management skill, not lines of code written.
The Automation Wave
AI is moving beyond assisting tasks to automating entire job functions.
Director AI: Your new web automation sidekick
A no-code tool for browser automation. Tell it in plain English to scrape a site or fill out a form, and it builds the script and runs it in the cloud for you.
Composer: Let your portfolio trade itself
An AI-powered platform for algorithmic trading. Describe your investment strategy in natural language, and it builds, backtests, and executes it without you writing any code.
Leadchee: A sales super-agent for startups
An 'agentic' CRM that maintains itself. For a flat monthly fee, it connects to your email, manages your pipeline, and sends proposals so you can focus on selling.
A Cambrian Explosion of Tooling
Niche, hyper-focused tools are emerging to solve very specific (and very annoying) problems.
Maestro SFX: Your next sound designer is an AI
Your personal AI foley artist. Generate production-ready sound effects from a text prompt, all built on an ethically sourced and licensed audio dataset.
DeepSeek-OCR: An LLM document reader that cuts costs
An open-source model that reads documents like images. It slashes the token count for LLMs by up to 20x, making large-scale document analysis suddenly affordable.
Bloom: A major upgrade for your Mac's Finder
The Finder replacement Mac power users have been waiting for. It brings multi-pane layouts, lightning-fast search, and advanced renaming tools to macOS file management.
Quick hits
Your360 AI: AI-powered feedback without the awkward surveys
Turns confidential, voice-powered peer feedback into an actionable growth plan, making executive-level coaching accessible to everyone.
Persuasive Patterns Card Deck: User psychology as a card game
A deck of 120 cards with psychological tactics to help product teams ethically build more engaging features.
EraseVideo: AI cleanup for AI creations
A free, offline Mac app that removes watermarks from AI-generated videos, a necessary tool for a Sora-filled world.
My takeaway
The most valuable skill is no longer writing code, but effectively managing AI that does.
We are shifting from a world of AI assistants to one of AI employees. This requires us to become better architects, reviewers, and conductors of complex work. The new bottleneck is not implementation speed; it is our ability to define problems clearly and validate the results.
This transition changes how we measure performance and build teams. The focus will be on leverage—who can generate the most value from their AI workforce? Are you building the skills to manage a team of agents, or just getting better at prompting one?
How do you prepare for a world where your job is to manage a team of AI agents?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().