Researchers show that Claude Code is 98% not AI.
Anthropic never gave us the architecture for Claude Code. There were no docs. Just a tool that every developer is currently obsessing over.
Until it leaked recently.
A research team pulled the source code, analyzed all 500,000 lines, and found something ridiculous.
Only 1.6% of the codebase actually interacts with the AI model.
The core of Claude Code is literally just a simple while-loop. It asks the model what to do, runs a tool, and repeats.
So what is the other 98.4%?
It is hardcore, traditional software engineering.
The researchers found a massive, complex infrastructure designed entirely to babysit the AI and keep it from hallucinating or destroying your computer:
- A 7-mode permission system acting as a security bouncer.
- A 5-layer context compaction pipeline so the AI doesn't forget its goal.
- A subagent delegation mechanism with strict worktree isolation.
- Four different extensibility hooks to manage external tools safely.
Every startup right now is trying to build a better AI model to get better results.
Anthropic did the exact opposite.
They took an existing model and built a fortress of deterministic software around it.
They realized that the AI doesn't need to be smarter. It needs to be managed.
DESIGN: THE FIRST AI CASUALTY
I'm increasingly sure that 2026 signals the end of product design as a full-fledged stand-alone function within companies. If so, it will be the first role / function to be eliminated by AI on a go-forward basis.
Instead of hiring FT designers, startups are hiring / will hire design consultants to create a design system that the founder likes (this takes a few weeks max). Once the design system is finalized, PM/Eng feed it into their AI tool of choice to generate prototypes. The design system is refreshed annually by the same consultant.
Larger companies will likely not backfill design roles and will do some targeted attrition to reduce the design department to 20% the size it is today.
If you're a designer, I think you have two choices:
1. Become an entrepreneur: Start a design agency and become the go-to resource for design systems for startups and even larger companies. This can be a good recurring revenue business.
2. Become a builder: Add PM/Eng responsibilities to become a product builder.
Would suggest you embrace this proactively vs waiting for the other shoe to drop.
I'm really sorry about this - some of my best friends and the people I admire most and have learnt the most from are designers - but it seems inevitable.
"In the next 12-24 months, we're going to see massive shedding of staff, and then a massive rehiring. You might see a company shed 30,000 and hire 8,000. But the 8,000 people they're gonna hire are going to all be AI-first."
We’re launching a brand new, full-stack vibe coding experience in @GoogleAIStudio, made possible by integrations with the @Antigravity coding agent and @Firebase backends.
This unlocks:
— Full-stack multiplayer experiences: Create complex, multiplayer apps with fully-featured UIs and backends directly within AI Studio
— Connection to real-world services: Build applications that connect to live data sources, databases, or payment processors and the Antigravity agent will securely store your API credentials for you
— A smarter agent that works even when you don't: By maintaining a deeper understanding of your project structure and chat history, the agent can execute multi-step code edits from simpler prompts. It also remembers where you left off and completes your tasks while you’re away, so you can seamlessly resume your builds from anywhere
— Configuration of database connections and authentication flows: Add Firebase integration to provision Cloud Firestore for databases and Firebase authentication for secure sign-in
This demo displays what can be built in the new vibe coding experience in AI Studio. Geoseeker is a full-stack application that manages real-time multiplayer states, compass-based logic, and an external API integration with @GoogleMaps 🕹️
A free web mentions API? - Yes, please!
@Ahrefs just launched Firehose. And it's kind of a big deal.
👉 https://t.co/yUwjOWp5y5
It captures updates from across the web, filters them using rules you define, and delivers results via API (for bots and agents) or a frontend UI (for humans).
Under the hood, it's powered by @Ahrefs' massive crawler infrastructure (one of the largest on the web), so the coverage is legitimately impressive.
Now that AI has made coding accessible to everyone, there's no excuse not to spin up a free Firehose account and start experimenting. Track brand mentions, monitor competitors, catch keyword trends — whatever you want.
Want more ideas? Just feed the API docs to Claude Code and ask it what to build:
👉 https://t.co/HqHzAouoIi
Happy building!
P.S. Firehose is free until further notice.
Introducing Perplexity Computer.
Computer unifies every current AI capability into one system.
It can research, design, code, deploy, and manage any project end-to-end.
Introducing Claude Code Security, now in limited research preview.
It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.
Learn more: https://t.co/n4SZ9EIklG
This is Claude Sonnet 4.6: our most capable Sonnet model yet.
It’s a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.
It also features a 1M token context window in beta.
Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two.
He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms.
"The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example.
Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk.
For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public.
The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite.
NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it.
I think the public markets do not distinguish between these two types of companies."
Indeed! For ten years now I have run a RoundTable on Air Pollution without getting the political traction i had hoped for. Finally i am relieved that the issue has broken through in public consciousness this year and is now also getting global attention. We need a #SwachhVayuAbhiyan with an Air Quality Czar who can whip all concerned departments into focused action. Hope @PMOIndia is thinking seriously about such an approach.
🍿 Netflix deliberately dumbs down dialogue — because viewers simply don’t follow the plot
Matt Damon talked about this on Joe Rogan’s podcast. According to him, Netflix explicitly asks writers to repeat key plot points multiple times in dialogue, so viewers who are glued to their phones can at least understand what’s happening on screen. Watching while scrolling has become the norm — and content is adjusted to fit that habit.
As a result, the structure of films has broken down: everything important and “cool” now has to be crammed into the opening minutes. Otherwise, that’s it — people just won’t finish the movie. No focus, no patience, attention spans measured in seconds.
The third problem is visuals. Damon says directors no longer see the point in obsessing over cinematography, because most people watch movies on phones, tablets, and laptops. Cinema made for the big screen is turning into content for small screens — and of matching quality.
Adv. Jayashankar recently shared a light-hearted yet telling anecdote on how #Varavelppu quietly influenced society and even reflected in his professional life.
The film, starring #Mohanlal and written by #Sreenivasan, was not just popular entertainment. Its sharp social commentary and grounded conflicts were so relatable that similar ideas and references reportedly surfaced during real legal discussions and trials.
Malayalam cinema won't be the same without the genius of #Sreenivasan. From the satirical bites of “Sandesham”to the raw emotion of “Vadakkunokkiyantram”, he taught us to laugh at ourselves while thinking deeper. A true master of the craft who redefined what it means to be a "hero" on screen, & who was an effective director as well.
Beyond the actor was a brilliant writer who captured the pulse of Kerala like no other. Sreenivasan’s scripts are time capsules of social commentary, humor, and unparalleled wit. There will never be another observer of life quite like him. 🕉️ शांति!
https://t.co/jzgRKxG5Qj