Richard Feldman of Delta demonstrates a shared workspace for humans collaborating with coding agents, in a talk on AI Engineer.
The handoff problem
- A branch, issue and transcript can omit discarded approaches and the reasoning behind decisions.
- Feldman calls reconstructing those missing details later “agent archaeology.”
- His proposed remedy is to keep conversations, code changes and human review in a shared thread.
Inside the demo
- Teammates can be mentioned in an agent conversation; their replies remain in the thread for later context.
- Reviewers can comment on individual lines, ask the agent questions and approve or reject changes.
- A participant sees a teammate’s terminal output live but cannot type in that terminal; each can run a separate local terminal.
- Joining a thread creates a local mirror of the work; participants can use their own agents.
- A new participant can ask an agent for a summary in a subthread without interrupting the main conversation.
Limits and deployment
- Feldman says Delta’s team runs standups with around 30–40 people in a thread, but has not performed a large stress test.
- At the time of the talk, sync infrastructure ran in the company’s cloud, an on-premises pilot was underway, and pricing was undecided during private beta.
- His team uses Delta rather than pull requests; he describes CI, landing changes and review sign-off workflows. An official bot API was not available at the time.
- Shared history can capture discussions that occur in the tool; it cannot recover decisions never recorded there.
“The conversation and the code changes are pretty inextricably linked.”