the old way of scaling teams is dead:
we used to hire specialists – designers, engineers, PMs – each in their lane, scaling by adding more people. but when Cursor can take you from idea to code in minutes, execution isn't the bottleneck anymore. taste and judgment are.
what matters now: people who can see the full stack, move between layers, but specialize deeply in something AI can't replicate yet. T-shaped but way wider – conversant across domains, expert in one thing.
AI doesn't just make you faster. it ties teams together differently. no more waterfall – designer codes the prototype, engineer extends it, both work in the same medium. the gap between disciplines disappears.
this raises individual ceilings. i'm a designer who built ryOS entirely in Cursor – couldn't have done that before. but i'm not replacing engineers, i'm just removing execution barriers while keeping my design taste and systems thinking.
you're not hiring for roles anymore. you're hiring for breadth + depth, taste, systems thinking, learning velocity. 5 people who can work across code/design/product beat 20 specialists coordinating handoffs.
the new bottlenecks are deeply human: taste, vision, judgment, context. AI explores options, but can't tell you which is right. that's where specialization matters now – in judgment, not execution.
small teams, fluid boundaries, everyone working in the same tools. roles still matter but as overlapping concerns with different depths, not separate silos. tools handle execution, you handle vision.
this is what we're building at Cursor – closing the gap between idea and reality. so your taste becomes the main thing, and teams have more freedom to explore crazy ideas.
O Duolingo provavelmente economiza milhões com isso... Descobri o TOON (Token Oriented Object Notation), o primo mais econômico do JSON que corta 30-60% dos tokens que você manda pra LLM.
Na imagem temos os mesmos dados, 44% menos tokens
so i built https://t.co/KkOPJFZi7r - a canvas for LLMs with parallel execution, branching memory, and real-time collaboration.
the future of AI isn't a chatbox. it's a canvas
@maxleedev you entered my brain and found the same idea!! i love it!! I thought about making a version where the first prompt is genesis of an idea that expands into what you have on the canvas and then can display a view of all, some, or summary of what was generated. bit like Weavy