The real project
The token borrowed the name. The actual Bitter project is about a much more ordinary problem: AI can generate software quickly, but operating that software over time is still messy.
The problem
A model can write code, scaffold an app, fix a bug, or ship a feature. But the useful work is rarely just the code. It is the context: why the change happened, what tradeoffs were made, what is deployed, what is still broken, and what the next pass should know.
Without that layer, AI-built projects turn into scattered folders, half-remembered instructions, missing setup notes, and one-off deployments no one can safely touch later.
The product idea
A project should remember what happened, not force every new pass to reconstruct the past from scratch.
Generated software needs deploys, credentials, checks, rollback paths, and ownership boundaries.
The goal is not just to create software once. It is to make the second, third, and tenth pass clearer because the first one happened.
Why this story belongs here
A name appeared in one system. A market page repeated it. A fee route made it look connected. The only way to make sense of it was to slow down, map who could do what, and write the distinction in plain language.
That is also the work Bitter cares about: making software, systems, and decisions legible enough that people can pick them up later without guessing.
Go to the actual Bitter project