It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December Show more
Builder Lab
Coming soonCode is getting cheaper to write. Knowing what to build, and proving that it works, is getting more valuable.
Builder Lab is where we’ll train the future software builder: the person who specifies the outcome, designs the system, directs AI agents to build it and verifies the result before anyone ships it. We’re starting with web apps, in the same sandbox and with the same hidden tests you already drill against.
There’s no waitlist yet. The first labs will open on this page.
The builder’s loop
Each lab will walk one feature through four steps. Agents do more of the typing; you stay accountable for every step.
01Specify
Turn a vague request into behaviour, constraints and acceptance criteria that an agent can’t misread.
Example lab: Write the spec for a signup form: edge cases, errors, and what “done” means.
02Design
Choose the boundaries, data model and API contracts before any code exists.
Example lab: Sketch the state and endpoints for a shared shopping list.
03Direct
Split the work, hand agents the right context, and review their diffs like a lead.
Example lab: Delegate a feature to an agent, then find the bug it shipped.
04Verify
Prove it works with tests, traces and evidence, not a fluent summary that says it does.
Example lab: Write the tests that would have caught it, and watch them go green.
What builders are saying
People building with AI every day largely agree: the work is moving from typing code to deciding what to build, directing agents and checking what they produce. The craft doesn’t disappear; it moves up the stack.
A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in Show more
Prediction: The next 12-24 months, "UX-pilled" builders will be in massive demand. Who can create intuitive interfaces, web+mobile+desktop apps that "feel good," natural, fast, and far better than the competition. THIS will be the difference vs those building "just" with AI.
I think this group of reactions are still fundamentally rooted in a scarcity mindset of software. 2 years ago AI was botching autocomplete, today it is almost one shotting browsers and C compilers. Where is it in 2 more? 10? 20? Software so insanely cheap and abundant that Show more
AI will soon graduate from being a vibe coder to a software system creator Powerful AI agents will be able to design, develop, test, monitor and scale software systems These agents will build new features, fix bugs and handle tech support Coming in the next few months…
Most confusion about the future of software design stems from a confusion in terminology. My view: production design will increasingly be automated. The economic logic is self-evident — training machines to mimic and refine existing production practices is cheaper, faster, and Show more
@rauchg
Whether design belongs in Figma or Claude Design is a distraction from a bigger shift. 1️⃣ Design will become autonomous. More helpful to think of it as 𝙳𝙴𝚂𝙸𝙶𝙽.𝚖𝚍, used by your coding agents running your software factory. 2️⃣ Specialized “personal” design tools generated
Posts are shown as published on X. Quoted for context, not endorsed.
Fundamentals still come first
You can’t review code you can’t read, or catch a bug you couldn’t have written. Until the lab opens, keep your hands sharp on the problems.
Based on our thesis, “The Future of Software Creation: From Manual Coding to AI-Orchestrated Systems” (October 2026). Read the full picture.