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A chart from Cursor shows the shifting ratio of Tab completion requests versus Agent requests over time, illustrating how developer workflows evolve as AI coding capabilities improve. The progression moves from no AI assistance, through tab completion, to single agents, parallel agents, and potentially agent teams. The key insight is that there's always an optimal setup at any given moment, and the community average naturally tracks toward it. Being too conservative means leaving productivity gains unrealized, while being too aggressive introduces chaos. The recommended balance is 80% working in a proven setup and 20% exploring the next level of capability.

Cool chart showing the ratio of Tab complete requests to Agent requests in Cursor. With improving capability, every point in time has an optimal setup that keeps changing and evolving and the community average tracks the point. None -> Tab -> Agent -> Parallel agents -> Agent Teams (?) -> ???

If you're too conservative, you're leaving leverage on the table. If you're too aggressive, you're net creating more chaos than doing useful work.

The art of the process is spending 80% of the time getting work done in the setup you're comfortable with and that actually works, and 20% exploration of what might be the next step up even if it doesn't work yet.

<p>Cool chart showing the ratio of Tab complete requests to Agent requests in Cursor. With improving capability, every point in time has an optimal setup that keeps changing and evolving and the community average tracks the point. None -&gt; Tab -&gt; Agent -&gt; Parallel agents -&gt; Agent Teams (?) -&gt; ???

If you're too conservative, you're leaving leverage on the table. If you're too aggressive, you're net creating more chaos than doing useful work.

The art of the process is spending 80% of the time getting work done in the setup you're comfortable with and that actually works, and 20% exploration of what might be the next step up even if it doesn't work yet.</p>

Lee Robinson is a software engineer and technical writer, known for his tutorials, articles, and courses on web development and React.js. Learners can gain insights into React.js best practices, GraphQL, and serverless architectures, and learn how to build modern web applications using Lee's expertise and guidance.

Lee Robinson

A retweet of Andrej Karpathy sharing a Cursor chart showing the shifting ratio of tab-complete requests versus agent requests over time, suggesting that as AI capability improves, agentic usage is growing relative to simple autocomplete.