For engineering leaders running fleets of AI coding agents Coordination hasn't caught up.
AI agents don't write one function at a time anymore — they write whole features, in parallel, on the same codebase. Twing is building the layer underneath that: so agents stop stepping on each other, reviews stay meaningful at machine scale, and the reasoning behind your system stops evaporating the moment a session ends.
Why now
Full-feature PRs, written by swarms, reviewed by nobody who really has time to. #
A single engineer used to open one PR at a time. Now a handful of engineers each run several agents, each agent opens PRs that touch dozens of files, and all of it lands on the same codebase in the same afternoon. The old assumptions — one author per change, a human reads every diff, tribal knowledge lives in people's heads — don't hold anymore. We think three things need to exist to make this way of building actually safe.
A collaboration layer
Agents shouldn't duplicate each other's work, contradict each other's decisions, or silently overwrite changes another agent has in flight. Twing gives every agent — and every human supervising them — a shared, real-time view of who's doing what, and can block conflicting work before it ships instead of after.
Early version live today### A new review standard
Line-by-line diff review doesn't scale to agent-generated PRs. We're building the review artifact that actually matters: what the agent did, what it tested, what existing tests it touched or weakened, and what a human actually verified — attached to every change, not reconstructed after the fact.
On the roadmap### Compounding organization context
Every design discussion, every tradeoff, every lesson learned while building a system used to evaporate. Now that agents are doing — and reading — the work, that history can be captured as it happens and compound: a living record of not just what the system is, but how it got there.
On the roadmap## This was always valuable. It wasn't buildable — until now.
Capturing every decision an engineering org makes, at the moment it's made, was never worth the tax on human attention it would have cost. Agents change that math: the work is already mediated by software that can capture its own reasoning. Read where we're taking this.