Your Terminal Just Got an Upgrade
And how AI is moving from novelty chat to essential co-pilot.
The space between talking to an AI and getting work done is collapsing.
Your Terminal Just Got an AI Co-Pilot
GitHub's new Copilot CLI wants to replace your muscle memory with natural language.
GitHub just dropped Copilot into the command line, and it's a bigger deal than it sounds. The new Copilot CLI acts as an AI-powered sidekick that lives in your terminal, ready to explain obscure commands, generate code snippets, and even fix bugs using natural language. It's designed to slash the time you spend switching between your editor, documentation, and a dozen browser tabs.
But this isn't just about saving a few keystrokes. It's a fundamental shift in how we interact with the most basic developer interface. We're moving from a world of memorised syntax to one of described outcomes, where the value is in knowing what to ask for, not exactly how to type it. It quietly chips away at the knowledge gap between a senior and junior developer, as anyone can now ask the terminal to perform complex operations.
Copilot CLI is available as part of the existing subscription plans, making it an easy yes for current users. For developers who live in the terminal, this is a tool to watch closely. The real test will be whether talking to your terminal is genuinely faster than the muscle memory you've spent years building.
Building With Smarter Bricks
Meanwhile, the tools we use to build are getting supercharged with intelligence.
Perplexity Search API: Give your app a direct line to the real-time web
This is about killing the 'stale data' problem in most AI applications. It makes building tools that are actually current and factual far more accessible, giving any developer the power of real-time, cited answers.
Recal.dev: The unified API for calendar hell
This is classic plumbing-as-a-service, commoditizing a deeply annoying problem. It frees up developers to focus on unique features instead of reinventing the calendar integration wheel for the hundredth time.
Your Autopilot is Ready
A new wave of tools wants to automate the tedious parts of your job so you can focus on the hard parts.
Tab: Set-and-forget AI blogging for startups
This commoditizes baseline SEO content for time-poor founders. The real question is whether 'good enough' AI-generated content can actually compete for human attention in a crowded space.
Zennbox: Your digital attic gets an AI librarian
We're all drowning in saved links we never revisit. This tool's bet is that an AI layer can turn that digital hoarding into an actual, usable personal knowledge base instead of a content graveyard.
Toopost: Your RSS feed, now with an AI brain
This is about solving information overload by adding an AI summarisation layer. It aims to turn a passive stream of updates into an active intelligence briefing, which is what RSS should have been all along.
Quick hits
Git Pushups: No code gets committed until you do your reps
A wild tool that blocks your 'git push' command until you complete a set of pushups, tying code contribution directly to physical health.
LaTeXWriter: Real-time collaboration for the academic world
It's basically Google Docs for LaTeX, solving the version control nightmare for researchers and scientists who live by academic papers.
MindPal: Your business gets its own robot squad
This no-code platform lets you build multi-agent AI systems to automate complex business processes, like having a tiny robot squad run your workflows.
My takeaway
The most interesting tools are the ones embedding AI directly into existing, boring workflows.
We're moving past the novelty of standalone AI chatbots and into the era of augmentation. The real productivity gains are coming from adding a co-pilot to the tools we already use daily: our terminals, our text editors, our feed readers. This isn't about replacing the user, but about giving them an assistant that understands their context.
This deep integration makes our tools feel less like static objects and more like junior partners. They can anticipate needs, summarise information, and execute complex commands from simple instructions. It's a fundamental shift in how we interact with software.
What happens to our own skills when our tools get this smart?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().