Two years of copilots, agents, and "just ship it" prompts have left a lot of companies running systems nobody fully understands anymore. We send in engineers who trace what the models actually built, find what's broken, and hand you back something your own team can maintain.
Moving fast with AI was the right call. Understanding what it built was optional — until it wasn't.
Generated first, reviewed never. Logic that works by accident and breaks the same way.
A hundred small prompts add up to a system, not a design. The tradeoffs were never made — they just happened.
Every new feature gets bolted onto code nobody on the team can explain — until one change takes the rest down with it.
We don't run more AI at your AI problem. We send engineers who read the code, trace the decisions, and rebuild what's worth keeping.
We trace what the model actually built — dependencies, dead ends, and the logic nobody can explain — and tell you what's salvageable.
The tangled parts get rebuilt into code your own engineers can read, own, and extend without guessing.
Tests, guardrails, and documentation for the parts that shipped without them the first time.
We pair with your team while we work, so they inherit a system they understand — not just one that runs.
GummyBearLabs was built on one idea: technology should serve people, not the other way around. Rescue engineering is that idea applied to the mess AI adoption left behind — real engineers, reading real code, answering to the humans who have to live with it after we're gone.
Describe the mess. We read every message ourselves.
A human will read this and get back to you.