Technically
@readtechnically
Technically breaks down software engineering concepts in simple language. Join 75K+ people getting more technical:
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Technically 2.0. Let it rip
Technically is dead; long live Technically Some bittersweet news for you all today: after 5 years writing Technically and more than 100 posts about everything from APIs to data warehouses to Facebook DNS hacks, today I am (for the most part) shutting the Technically Substack…
Most people don't realize that MCP started as a weekend project; it wasn't intended as some masterstroke by Anthropic. This is part of why the spec is so low level, and it's so hard to build an MCP server from scratch. @fastmcp fixes this by doing all of the boilerplate for you:
Developers don't read marketing sites. They read docs. Bad docs = lost users, yet most companies treat documentation as an afterthought. Collaborated with @readtechnically on this piece about what separates good docs from great ones: read.technically.dev/p/whats-docume…
Steve Jobs (or was it Sun Tzu?) once said "if the product needs a manual, the design has failed." Well, Steve would hate modern software. Everything from Gmail to developer APIs needs docs—and nowhere is this more true than dev tools and infra. A thread on documentation:
I've been getting requests to explain what an "architecture" is in the context of AI: AI architectures are basically model blueprints. they are the sum of all the decisions you make about what algorithms, data, sizes, and other stuff go into said model.
Good to get back to the basics. JavaScript is the most popular programming language in the world...how does it work? read.technically.dev/p/whats-javasc…
read.technically.dev
What's JavaScript?
From humble origins to the most popular programming language in the world.
It’s 2025, and there’s only one question on every company’s mind: “How do I add as many mentions of AI as possible to our website?” These “AI Makeovers” have been plaguing the nation. We need a hero to bring them to justice
The reason that your engineers are taking forever to build your feature is probably code reviews. They wrote the code, but it's stuck in some kafkaesque review process that doesn't do much anyway. And AI generated code is about to blow all of this up in a big way
So @MistralAI is in the news today for releasing their first reasoning modal, Magistral. But what IS a reasoning model, exactly? How do these things, like @OpenAI o3, actually work? 🥖
Junior developers after committing the credentials to the repo and getting bailed out by their boss
A dog who was trapped in a mine shaft for 4 days couldn't stop wagging his tail during his rescue. This is Ted. He and his sister Penny wandered off their family's property last week in Victoria, Australia. When the pair didn't return home, their family began an extensive search.…
What MCP is, for non-engineers: The Model Context Protocol helps models like Claude or ChatGPT talk and work with external systems and data in a standardized way -->
I wrote about @v0 a couple of months ago, and framed it as an app for building apps. But the underlying model that Vercel built for v0 (the brain) has gotten so good that you can now use it in other tools, to do as you wish
Bring @v0’s brain to VS Code, Cursor, Windsurf, Codex CLI or your own apps
This might seem basic at first glance (OpenAI adding existing features to the API) but it's actually a much bigger deal. They are totally changing up the philosophy of how developers should use model APIs, to prepare for a world of agents:
The OpenAI API team has been cooking. Launching today in the Responses API: MCP, image gen, code interpreter, and background mode, delivering an absurd amount of functionality in the span of just one API call 🧑🍳
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