The authors first conducted a formative study with 14 developers to identify recurring practices for supervising concurrent coding agents.
Interface support helps developers supervise more coding agents in parallel
ParallelPilot combined planning, session logging, and centralized monitoring, increasing throughput in a small study of short coding tasks.
Big Tech
Tao Long · Weili Shi · Hussein Mozannar · Maya Murad · Rafah Hosn
Microsoft Research AI Frontiers · Columbia University
Research Digest··2 min read
The authors studied how developers coordinate multiple autonomous coding sessions, then distilled five supervisory practices into the PILOT framework: Planning, Isolating, Logging, Observing, and Triaging.
Why this paper
From Microsoft Research AI Frontiers and Columbia University
In one line
ParallelPilot increased ticket throughput by 63% and allowed developers to supervise one more concurrent AI agent.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (3 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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