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As a software developer, I’ve found that most of my work revolves around uncovering the constraints of a problem, asking the right questions, doing just enough
by erickborquez 2y ago
As a software developer, I’ve found that most of my work revolves around uncovering the constraints of a problem, asking the right questions, doing just enough exploration to understand what’s truly worth working on, and letting those boundaries guide the solution. The ideas behind Surface Tension resonate deeply with this process. Constraints aren’t blockers; they’re the framework that shapes meaningful progress. This perspective has fundamentally changed how I approach my work.
Is there some kind of "Constraint Driven Design" pattern that one can follow when doing... anything? Is it good for specific domains?
Do you have insights about constraints when working with LLMs?
- rgrzywinski 2y agoThanks for the thoughtful comment - you've captured exactly what I've been exploring! Yes, there absolutely is a "Constraint Driven Design" pattern, though I've found it works less as a rigid methodology and more as a conversational approach to problem-solving. The basic flow looks something like: * Start by explicitly articulating what you know must be true (constraints) * Let these constraints interact to reveal implications you hadn't considered * Use these revelations to discover new constraints * Repeat until the solution space comes into focus In the Blueprints section, I walk through how this works with Firestore queries - transforming documentation into explicit constraints that interact to reveal exactly what's possible and impossible. As for domains, I've found this approach particularly powerful for: * API design (constraints become your public interface) * Database modeling (constraints reveal natural structures) * UI/UX (constraints map to user mental models) * System integration (constraints expose compatibility boundaries) For LLMs specifically, I've discovered something fascinating: they're excellent at generating potential constraints, but terrible at understanding how constraints interact. In "Inner Logic," I explore how we might build systems that combine the pattern-matching strengths of neural networks with the logical reasoning of constraint solvers.