Problem
Why does my AI-built codebase become incoherent over time?
It drifts because the "why" behind each change evaporates and nothing stops agents from rebuilding what already exists. CatWrangler keeps the codebase coherent by recording every decision with its reasoning, bound to the code it governs, and surfacing existing work before an agent duplicates it.
An AI-built codebase doesn't rot from bad code so much as from lost context. Each agent solves its slice, the reasoning behind the choice disappears, and the next agent — unaware — builds the same thing a second way.
The two ways coherence leaks
Incoherence has two sources, and both compound at AI speed. First, the reasoning behind a change is never written down: six weeks later nobody — human or agent — knows why the code is shaped the way it is, so the next change quietly contradicts the last. Second, nothing checks whether the work already exists, so duplicates pile up: three half-built versions of the same thing, each slightly different.
CatWrangler closes both. Every change records the decision behind it — the choice, the reasoning, the alternatives ruled out — bound to the exact code it governs, and agents read those decisions before they touch anything. Before an agent builds, the system surfaces the code and decisions that already do the job, so it extends what exists instead of starting over.
What that looks like in practice
- Every change carries its decision: the claim, the reasoning, the evidence, and the conditions that would change its mind.
- Foundational rules sit at a higher tier and can't be casually overridden by a quick fix.
- Before building, an agent is shown the existing code and decisions that already cover the task.
- Two years later you can still see why the code is the way it is — the why never evaporates.
“The enrichment revealed the integration point before I wrote a line of code.”
Related questions
Why isn't this fixed by good comments or documentation?
Comments and docs drift away from the code and get skipped under deadline. CatWrangler binds each decision — with its reasoning and the conditions that would change it — to the exact code it governs, and agents read it before they edit. The why stays attached, not adjacent.
How does it stop agents from rebuilding things that already exist?
Before an agent builds, CatWrangler surfaces the code and decisions that already do the job. The most common reaction is an agent discovering its planned work was already done, before writing a single line — so the codebase stays coherent instead of filling with duplicates.
Keep reading
Vibe-Engineering
Many agents. One codebase. Zero collisions.
Point your agents at CatWrangler and build — the discipline runs underneath.