Tommy
Tommy writes at pre.dev about working with coding agents, from steering agents and model cost to shipping real apps, and about RL tasks.
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ProductMake Your Restaurant Menu Remember Your Guests with Authentication
Guests forget the wine they loved. We gave our digital menu user accounts so they don't have to remember. No auth provider signup, no keys, no passwords. Here's the build, from sign-in to a saved order history.
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ProductBuild an AI Sommelier with pre.dev
Our digital menu needed a wine recommendation. The old way means an account, an API key and a file full of secrets before you write a line of feature code. With native AI, none of that exists. Here's the sommelier build, from a bigger wine list to a real recommendation.
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ProductReplit vs Lovable vs pre.dev: A Practical Comparison
A restaurant owner beat a developer to shipping a digital menu. But that test used one tool. So we handed the same brief to the three platforms people actually choose between: Replit, Lovable and pre.dev and took each to a live URL on a free tier. Here's where they diverged.
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LabsRL Tasks: Where the reward went
Two tasks from a catalog of real commits rebuilt as graded RL environments. In both, the models did recognizable, competent work and scored close to nothing — and in both, the reason turned out to have almost nothing to do with whether they understood the problem.
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ProductCan a restaurant owner beat a developer to shipping a digital menu?
A friend asked me to build a digital menu for his restaurant. Instead of opening my IDE, I tested whether he could do it himself: no code, no setup, one plain-English prompt. Three minutes and forty seconds later, the menu was live. Here's the full run.
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ProductThe Control Plane: Steering your Agents
Stop jumping straight into code. To ship production-grade software with AI agents without endless refactoring, you need a control plane. Here is how to use predev to decompress raw ideas into an autonomous, parallelized agent execution pipeline.
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AIIntelli-Gents Podcast Episode 7: Breaking the model cost continuum
In Episode 7 of The Artificial Intelli-Gents, Adam and Arjun sit down to dissect a massive shift in the coding agent race. If you’re tired of "tokenmaxxing" your budget away, this episode is for you.
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AIThe Reason Everyone Around You Is Shipping (And You Aren’t)
Intimate knowledge of a real-world problem beats a perfect tech stack every time. AI agents can automate the code, but they can't find the Why. The future belongs to builders who prompt for human outcomes, not technical features.
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LabsHow We Beat Claude Opus with a Smaller Model.
Stop burning tokens on brute force. If you’re using coding agents but seeing diminished ROI, this breakdown is for you.
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