The workspace where your team and AI agents take software from feedback to shipped. You direct, agents build.
[12:04] Dana: every time we want to add a data source we end up pulling an engineer in. It's a ticket, a wait, a follow-up.
[14:31] Dana: if I could connect it myself I'd have done it weeks ago.
Plugs into the tools your team already lives in, and the coding agents you already use.
Every stage is a surface in the workspace, and the context carries the whole way around.
Feedback from Slack, support, and calls reads as evidence, not noise. Cofleet is the context layer your whole team and your agents work from.
Source setup needs an engineer
Third account to raise it this month. We end up opening a ticket and waiting two days for something that should take five minutes.
Tech spec · requested
UI/UX · Design agent
Move fast and messy with your team, then hand over the prototype. Cofleet turns it into a spec your agents can execute.
Not a throwaway sandbox. Agents build with your architecture and your design system, and Cofleet coordinates the runs.
Make errors human-readable
“Love the inline auth”
“Retry needs a tooltip”
Cofleet runs the tests end to end and hands you the finished experience. Watch, comment, annotate. Merge what's right, send back what isn't.
Quality, not volume.
The teams that pull ahead won't just use AI, they'll be organized around it. Cofleet brings your context, your process, and your agents into one loop, so the whole team works the way the future does.
Operators and builders. We've scaled products, led engineering teams, and lived the chaos Cofleet fixes.
The engineering depth behind Cofleet's architecture. Builds the infrastructure that makes agent orchestration work.
Markus reads everything. Or book a demo.