AI framework for software development

Build. Measure impact. Get better.

LoopsWork connects AI-assisted development, impact, and learning so faster delivery leads to meaningful improvements.

Understand LoopsWork in 2 minutesGo straight to practice
The problem

Building faster does not automatically create more value.

AI can dramatically accelerate development.

More output alone says nothing about impact.

Without clear specs, feedback, evidence, and learning, poor decisions merely get implemented faster.

When feedback after release is deferred, Feedback Debt grows: changes have shipped, but their impact remains unevaluated.

Vibe Coding brings ideas to life quickly through prompts and experimentation. In LoopsWork, Loop-Coding connects small specs with verified delivery, impact, and learning. Explore the approaches →

The core model

Three loops connect delivery and impact.

Learning changes the next Build — the loops run in parallel and inform one another.

Guiding principles

Six ideas for everyday work.

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Purpose visible

Clarify who should benefit and what should improve before building.

Small Specs

Keep the next change small enough to verify.

Small Context

Give agents only the relevant, current context for their task.

Humans decide

Humans own priorities, quality, and decisions.

Evidence over assumptions

Use tests, feedback, and measurements beyond mere plausibility.

Short feedback loops

Check early and apply insights to the next piece of work.

Mini example · shopping cart

From CART 1.0 to the next improvement.

A shopping cart change shows how the three loops work together.

  1. Pitch
  2. Small Spec
  3. Implementation
  4. Acceptance
  5. Deployment
  6. Evidence
  7. Learning
Explore the complete example

Who is LoopsWork for?

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